24.1.9 Time Series Analysis, One-D Waveform Analysis, One-D Signals

Chapter Contents (Back)
Time Series.

Love, P.L., Simaan, M.,
Automatic recognition of primitive changes in manufacturing process signals,
PR(21), No. 4, 1988, pp. 333-342.
Elsevier DOI 0309
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Li, T.F.[Tze Fen], Chang, S.W.[Sung Wu],
A quick method for estimation of parameters of individual pulses in a multipath signal,
PR(25), No. 12, December 1992, pp. 1529-1533.
Elsevier DOI 0401
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Lekow, J.[Jacek], Napolitano, A.[Antonio],
Quantile prediction for time series in the fraction-of-time probability framework,
SP(82), No. 11, November 2002, pp. 1727-1741.
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Saadani, A., Gelpi, P., Tortelier, P.,
A variable-order Markov-chain-based model for Rayleigh fading and RAKE receiver,
SPLetters(11), No. 3, March 2004, pp. 356-358.
IEEE Abstract. 0404
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Li, Y., Vucetic, B., Tang, Y., Zhang, Q.,
Space-Time Trellis Codes With Linear Transformation for Fast Fading Channels,
SPLetters(11), No. 11, November 2004, pp. 895-898.
IEEE Abstract. 0411
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Liao, T.W.[T. Warren],
Clustering of time series data: A survey,
PR(38), No. 11, November 2005, pp. 1857-1874.
Elsevier DOI Award, Pattern Recognition, Honorable Mention. 0509
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Liao, T.W.[T. Warren],
A clustering procedure for exploratory mining of vector time series,
PR(40), No. 9, September 2007, pp. 2550-2562.
Elsevier DOI 0705
Vector time series; Clustering; Clustering algorithms; Validity index BibRef

Wu, J.K., Liang, Y., Wu, Q., Chen, G.T.,
Frequency tracking techniques of power systems in coloured noises,
VISP(153), No. 6, December 2006, pp. 795-804.
DOI Link 0702
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Sarkar, M.[Manish],
Ruggedness measures of medical time series using fuzzy-rough sets and fractals,
PRL(27), No. 5, 1 April 2006, pp. 447-454.
Elsevier DOI Characterization; Time series; Fuzzy; Rough; Fuzzy-rough; Hurst exponent and fractal 0604
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Rajagopalan, V.[Venkatesh], Ray, A.[Asok], Samsi, R.[Rohan], Mayer, J.[Jeffrey],
Pattern identification in dynamical systems via symbolic time series analysis,
PR(40), No. 11, November 2007, pp. 2897-2907.
Elsevier DOI 0707
Time series patterns. Pattern classification; Symbolic time series analysis; Markov modeling BibRef

Yan, K., Jiang, J., Wang, Y.G., Liu, H.T.,
Outage Probability of Selection Cooperation With MRC in Nakagami-m Fading Channels,
SPLetters(16), No. 12, December 2009, pp. 1031-1034.
IEEE DOI 0909
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Cami, A.[Aurel], Wallstrom, G.L.[Garrick L.], Fowlkes, A.L.[Ashley L.], Panozzo, C.A.[Cathy A.], Hogan, W.R.[William R.],
Mining aggregates of over-the-counter products for syndromic surveillance,
PRL(30), No. 3, 1 February 2009, pp. 255-266.
Elsevier DOI 0804
Biosurveillance; Outbreak detection; Linear regression; Time series aggregation BibRef

Kowalski, M.[Matthieu], Torrésani, B.[Bruno],
Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients,
SIViP(3), No. 3, September 2009, pp. xx-yy.
Springer DOI 0910
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Gazor, S., Derakhtian, M., Tadaion, A.A.,
Computationally Efficient Maximum Likelihood Sequence Estimation and Activity Detection for M-PSK Signals in Unknown Flat Fading Channels,
SPLetters(17), No. 10, October 2010, pp. 871-874.
IEEE DOI 1008
BibRef

Thomas, T., Weijermars, W., van Berkum, E.,
Predictions of Urban Volumes in Single Time Series,
ITS(11), No. 1, March 2010, pp. 71-80.
IEEE DOI 1003
BibRef

Orsenigo, C., Vercellis, C.,
Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification,
PR(43), No. 11, November 2010, pp. 3787-3794.
Elsevier DOI 1008
Time series classification; Support vector machines; Discrete support vector machines; Learning theory; Warping distance BibRef

Jin, X.[Xin], Gupta, S.[Shalabh], Mukherjee, K.[Kushal], Ray, A.[Asok],
Wavelet-based feature extraction using probabilistic finite state automata for pattern classification,
PR(44), No. 7, July 2011, pp. 1343-1356.
Elsevier DOI 1103
Time series analysis; Symbolic dynamics; Feature extraction; Pattern classification; Probabilistic finite state automata BibRef

Yang, C., Le Bouquin Jeannes, R., Faucon, G., Shu, H.,
Extracting Information on Flow Direction in Multivariate Time Series,
SPLetters(18), No. 4, April 2011, pp. 251-254.
IEEE DOI 1103
BibRef

Yang, H.[Hui], Bukkapatnam, S.T.S.[Satish T.S.], Barajas, L.G.[Leandro G.],
Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems,
PR(44), No. 8, August 2011, pp. 1834-1840.
Elsevier DOI 1104
Prediction; Recurrence plot; Nonstationary; Time series BibRef

Jeong, Y.S.[Young-Seon], Jeong, M.K.[Myong K.], Omitaomu, O.A.[Olufemi A.],
Weighted dynamic time warping for time series classification,
PR(44), No. 9, September 2011, pp. 2231-2240.
Elsevier DOI 1106
Dynamic time warping; Adaptive weights; Weighted dynamic time warping; Modified logistic weight function; Time series classification; Time series clustering BibRef

Fidalgo-Merino, R., Nunez, M.,
Self-Adaptive Induction of Regression Trees,
PAMI(33), No. 8, August 2011, pp. 1659-1672.
IEEE DOI 1107
Binary regression tree dealing with data stream. BibRef

Oya, A., Navarro-Moreno, J., Ruiz-Molina, J.C.,
Widely Linear Simulation of Continuous-Time Complex-Valued Random Signals,
SPLetters(18), No. 9, September 2011, pp. 513-516.
IEEE DOI 1108
BibRef

Navarro-Moreno, J., Fernandez-Alcala, R.M., Ruiz-Molina, J.C.,
A Quaternion Widely Linear Series Expansion and Its Applications,
SPLetters(19), No. 12, December 2012, pp. 868-871.
IEEE DOI 1212
BibRef

Martinez-Alvarez, F., Troncoso, A., Riquelme, J.C., Aguilar-Ruiz, J.S.,
Discovery of motifs to forecast outlier occurrence in time series,
PRL(32), No. 12, 1 September 2011, pp. 1652-1665.
Elsevier DOI 1108
Time series forecasting; Pattern recognition; Motifs; Outliers BibRef

Sayed-Mouchaweh, M.[Moamar], Messai, N.[Nadhir],
A clustering-based approach for the identification of a class of temporally switched linear systems,
PRL(33), No. 2, 15 January 2012, pp. 144-151.
Elsevier DOI 1112
Classification; Clustering; Identification; Hybrid dynamic systems BibRef

Martin, R.K.,
Using Alpha Shapes to Approximate Signal Strength Based Positioning Performance,
SPLetters(18), No. 12, December 2011, pp. 741-744.
IEEE DOI 1112
BibRef

Li, R.[Rui], Tian, T.P.[Tai-Peng], Sclaroff, S.[Stan],
Divide, Conquer and Coordinate: Globally Coordinated Switching Linear Dynamical System,
PAMI(34), No. 4, April 2012, pp. 654-669.
IEEE DOI 1203
Representation for high-dimensional time series. BibRef

Ward, J.P., Kirshner, H., Unser, M.,
Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?,
SPLetters(19), No. 4, April 2012, pp. 183-186.
IEEE DOI 1203
BibRef

Zhang, L.[Lin], Luo, Z.[Zhen], Leung, S.H.[Shu-Hung], Zhu, Y.S.[Yue-Sheng],
Simplified Precoder Design for MIMO Systems With Receive Correlation in Ricean Channels,
SPLetters(19), No. 5, May 2012, pp. 263-266.
IEEE DOI 1204
BibRef

Sugavaneswaran, L., Xie, S., Umapathy, K., Krishnan, S.,
Time-Frequency Analysis via Ramanujan Sums,
SPLetters(19), No. 6, June 2012, pp. 352-355.
IEEE DOI 1202
BibRef

Vallejos, R.O.[Ronny O.],
Testing for the absence of correlation between two spatial or temporal sequences,
PRL(33), No. 13, 1 October 2012, pp. 1741-1748.
Elsevier DOI 1208
Codispersion coefficient; Time series; Spatial processes; Hypothesis testing BibRef

Valério, D.[Duarte], da Costa, J.S.[José Sá],
Fractional reset control,
SIViP(6), No. 3, September 2012, pp. 495-501.
WWW Link. 1209
BibRef

Chen, D.[Dali], Chen, Y.Q.[Yang-Quan], Xue, D.Y.[Ding-Yu],
1-D and 2-D digital fractional-order Savitzky-Golay differentiator,
SIViP(6), No. 3, September 2012, pp. 503-511.
WWW Link. 1209
BibRef

Bhalekar, S.[Sachin],
Dynamical analysis of fractional order Uçar prototype delayed system,
SIViP(6), No. 3, September 2012, pp. 513-519.
WWW Link. 1209
BibRef

Bhalekar, S.[Sachin],
On the Uçar prototype model with incommensurate delays,
SIViP(8), No. 4, May 2014, pp. 635-639.
WWW Link. 1404
BibRef

Bhalekar, S.[Sachin],
Stability analysis of Uçar prototype delayed system,
SIViP(10), No. 4, April 2016, pp. 777-781.
WWW Link. 1604
BibRef

Dulf, E.H.[Eva-Henrietta], Pop, C.I.[Cristina-Ioana], Dulf, F.V.[Francisc-Vasile],
Fractional calculus in 13C separation column control,
SIViP(6), No. 3, September 2012, pp. 479-485.
WWW Link. 1209
BibRef

Pop, C.I.[Cristina I.], Ionescu, C.M.[Clara M.], De Keyser, R.[Robain], Dulf, E.H.[Eva H.],
Robustness evaluation of fractional order control for varying time delay processes,
SIViP(6), No. 3, September 2012, pp. 453-461.
WWW Link. 1209
BibRef

Hosseinnia, S.H.[S. Hassan], Tejado, I.[Inés], Vinagre, B.M.[Blas M.], Sierociuk, D.[Dominik],
Boolean-based fractional order SMC for switching systems: Application to a DC-DC buck converter,
SIViP(6), No. 3, September 2012, pp. 445-451.
WWW Link. 1209
BibRef

Melchior, P.[Pierre], Pellet, M.[Mathieu], Petit, J.[Julien], Cabelguen, J.M.[Jean-Marie], Oustaloup, A.[Alain],
Analysis of muscle length effect on an S type motor-unit fractional multi-model,
SIViP(6), No. 3, September 2012, pp. 421-428.
WWW Link. 1209
BibRef

Bensouici, T.[Tahar], Charef, A.[Abdelfatah],
Approximate realization of digital fractional forward operator using digital IIR filter,
SIViP(6), No. 3, September 2012, pp. 411-420.
WWW Link. 1209
BibRef

Maione, G.[Guido],
Thiele's continued fractions in digital implementation of noninteger differintegrators,
SIViP(6), No. 3, September 2012, pp. 401-410.
WWW Link. 1209
BibRef

Malti, R.[Rachid], Melchior, P.[Pierre], Lanusse, P.[Patrick], Oustaloup, A.[Alain],
Object-oriented CRONE toolbox for fractional differential signal processing,
SIViP(6), No. 3, September 2012, pp. 393-400.
WWW Link. 1209
BibRef

Adams, J.L.[Jay L.], Veillette, R.J.[Robert J.], Hartley, T.T.[Tom T.],
Conjugate-order systems for signal processing: Stability, causality, boundedness, compactness,
SIViP(6), No. 3, September 2012, pp. 373-380.
WWW Link. 1209
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Couceiro, M.S.[Micael S.], Rocha, R.P.[Rui P.], Ferreira, N.M.F.[N. M. Fonseca], Machado, J.A.T.[J. A. Tenreiro],
Introducing the fractional-order Darwinian PSO,
SIViP(6), No. 3, September 2012, pp. 343-350.
WWW Link. 1209
BibRef

Ortigueira, M.D.[Manuel D.], Magin, R.L.[Richard L.], Trujillo, J.J.[Juan J.], Velasco, M.P.[M. Pilar],
A real regularised fractional derivative,
SIViP(6), No. 3, September 2012, pp. 351-358.
WWW Link. 1209
BibRef

Trigeassou, J.C., Maamri, N., Sabatier, J., Oustaloup, A.,
Transients of fractional-order integrator and derivatives,
SIViP(6), No. 3, September 2012, pp. 359-372.
WWW Link. 1209
BibRef

Venkitaraman, A., Seelamantula, C.S.,
A Technique to Compute Smooth Amplitude, Phase, and Frequency Modulations From the Analytic Signal,
SPLetters(19), No. 10, October 2012, pp. 623-626.
IEEE DOI 1209
BibRef

Venkitaraman, A., Seelamantula, C.S.,
On Computing Amplitude, Phase, and Frequency Modulations Using a Vector Interpretation of the Analytic Signal,
SPLetters(20), No. 12, 2013, pp. 1187-1190.
IEEE DOI 1311
Eigenvalues and eigenfunctions BibRef

Venkitaraman, A., Seelamantula, C.S.,
Temporal Envelope Fit of Transient Audio Signals,
SPLetters(20), No. 12, 2013, pp. 1191-1194.
IEEE DOI 1311
Closed-form solutions BibRef

Onchis, D.M.,
Signal Reconstruction in Multi-Windows Spline-Spaces Using the Dual System,
SPLetters(19), No. 11, November 2012, pp. 729-732.
IEEE DOI 1210
BibRef

Lee, Y.[Yuni], Sung, Y.C.[Young-Chul],
Generalized Chernoff Information for Mismatched Bayesian Detection and Its Application to Energy Detection,
SPLetters(19), No. 11, November 2012, pp. 753-756.
IEEE DOI 1210
BibRef

Sugiura, S., Hanzo, L.,
Effects of Channel Estimation on Spatial Modulation,
SPLetters(19), No. 12, December 2012, pp. 805-808.
IEEE DOI 1212
BibRef

Diouf, C., Telescu, M., Cloastre, P., Tanguy, N.,
On the Use of Equality Constraints in the Identification of Volterra-Laguerre Models,
SPLetters(19), No. 12, December 2012, pp. 857-860.
IEEE DOI 1212
BibRef

Sigg, C.D., Dikk, T., Buhmann, J.M.,
Learning Dictionaries With Bounded Self-Coherence,
SPLetters(19), No. 12, December 2012, pp. 861-864.
IEEE DOI 1212
BibRef

Hou, Y., Liu, G., Wang, Q., Xiang, W.,
Performance Optimization of Digital Spectrum Analyzer With Gaussian Input Signal,
SPLetters(20), No. 1, January 2013, pp. 31-34.
IEEE DOI 1212
BibRef

Khan, N.A., Boashash, B.,
Instantaneous Frequency Estimation of Multicomponent Nonstationary Signals Using Multiview Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram,
SPLetters(20), No. 2, February 2013, pp. 157-160.
IEEE DOI 1302
BibRef

Mohammadi, M.[Mokhtar], Pouyan, A.A.[Ali Akbar], Khan, N.A.[Nabeel Ali],
A highly adaptive directional time-frequency distribution,
SIViP(10), No. 7, October 2016, pp. 1369-1376.
WWW Link. 1609
BibRef

Wu, G.[Gang], Yang, J.W.[Ji-Wen],
A representation of time series based on implicit polynomial curve,
PRL(34), No. 4, 1 March 2013, pp. 361-371.
Elsevier DOI 1302
Implicit polynomial curve; Time series; Similarity measure; Dimension reduction BibRef

Fang, J.[Jun], Liu, Y.M.[Yu-Meng], Li, H.B.[Hong-Bin], Li, S.Q.[Shao-Qian],
One-Bit Quantizer Design for Multisensor GLRT Fusion,
SPLetters(20), No. 3, March 2013, pp. 257-260.
IEEE DOI 1303
BibRef

Rajashekar, R., Hari, K.V.S., Hanzo, L.,
Structured dispersion matrices from division algebra codes for space-time shift keying,
SPLetters(20), No. 4, April 2013, pp. 371-374.
IEEE DOI 1303
BibRef

Rajashekar, R., Hari, K.V.S., Hanzo, L.,
A Reduced-Complexity Partial-Interference-Cancellation Group Decoder for STBCs,
SPLetters(20), No. 10, 2013, pp. 929-932.
IEEE DOI 1309
Toeplitz matrices BibRef

Setlur, P., Devroye, N.,
An Information Theoretic Take on Time Reversal for Nonstationary Channels,
SPLetters(20), No. 4, April 2013, pp. 327-330.
IEEE DOI 1303
BibRef

Xing, C., Wang, N., Ni, J., Fei, Z., Kuang, J.,
MIMO Beamforming Designs With Partial CSI Under Energy Harvesting Constraints,
SPLetters(20), No. 4, April 2013, pp. 363-366.
IEEE DOI 1303
BibRef

Stankovic, L., Stankovic, S., Orovic, I., Amin, M.G.,
Robust Time-Frequency Analysis Based on the L-Estimation and Compressive Sensing,
SPLetters(20), No. 5, May 2013, pp. 499-502.
IEEE DOI 1304
BibRef

Li, P.[Po], Wang, D.C.[De-Chun], Wang, L.[Lu],
Separation of micro-Doppler signals based on time frequency filter and Viterbi algorithm,
SIViP(7), No. 3, May 2013, pp. 593-605.
WWW Link. 1305
BibRef

Vemulapalli, P.K.[Pramod K.], Monga, V.[Vishal], Brennan, S.N.[Sean N.],
Robust Extrema Features for Time-Series Data Analysis,
PAMI(35), No. 6, June 2013, pp. 1464-1479.
IEEE DOI 1305
BibRef

Ferreira, A.L., Piccinini, G.F.B.[G.F. Bianchi], Rola, S., Simoes, A.,
Gender and age-related differences in the perception of in-vehicle mobile phone usage among Portuguese drivers,
IET-ITS(7), No. 2, 2013, pp. -.
DOI Link 1307
BibRef

Hancox, G., Richardson, J., Morris, A.,
Drivers' willingness to engage with their mobile phone: The influence of phone function and road demand,
IET-ITS(7), No. 2, 2013, pp. -.
DOI Link 1307
BibRef

Liu, L.F.[Lu-Feng], Du, X.P.[Xin-Peng], Cheng, L.Z.[Li-Zhi],
Stable Signal Recovery via Randomly Enhanced Adaptive Subspace Pursuit Method,
SPLetters(20), No. 8, 2013, pp. 823-826.
IEEE DOI 1307
adaptive signal processing BibRef

Hayashi, A.[Akira], Iwata, K.[Kazunori], Suematsu, N.[Nobuo],
Marginalized Viterbi algorithm for hierarchical hidden Markov models,
PR(46), No. 12, 2013, pp. 3452-3459.
Elsevier DOI 1308
Time series data BibRef

Montillet, J.P., McClusky, S., Yu, K.[Kegen],
Extracting Colored Noise Statistics in Time Series via Negentropy,
SPLetters(20), No. 9, 2013, pp. 857-860.
IEEE DOI 1308
convex programming BibRef

Diversi, R.[Roberto], Guidorzi, R.[Roberto],
Optimal filtering of multivariate noisy AR processes,
SIViP(7), No. 5, September 2013, pp. 873-878.
Springer DOI 1309
BibRef

Huang, R.[Renke], Zheng, H.[Hao], Kuruoglu, E.E.[Ercan E.],
Time-varying ARMA stable process estimation using sequential Monte Carlo,
SIViP(7), No. 5, September 2013, pp. 951-958.
Springer DOI 1309
BibRef

Baydogan, M.G.[Mustafa Gokce], Runger, G.[George], Tuv, E.[Eugene],
A Bag-of-Features Framework to Classify Time Series,
PAMI(35), No. 11, 2013, pp. 2796-2802.
IEEE DOI 1309
Supervised learning; codebook; feature extraction BibRef

Wang, J., Li, X., Liao, S.S., Hua, Z.,
A Hybrid Approach for Automatic Incident Detection,
ITS(14), No. 3, 2013, pp. 1176-1185.
IEEE DOI 1309
Automatic incident detection (AID) BibRef

Zhu, Z.W.[Zhi-Wen], Huang, X.P.[Xin-Ping], Caron, M., Leung, H.,
A Blind AM/PM Estimation Method for Power Amplifier Linearization,
SPLetters(20), No. 11, 2013, pp. 1042-1045.
IEEE DOI 1310
higher order statistics BibRef

Ren, X.T.[Xiao-Tian], Xu, H.[Hui], Huang, Z.T.[Zhi-Tao], Wang, F.H.[Feng-Hua], Wang, X.[Xiang],
Blind joint information and spreading sequence estimation for short-code DS-SS signal in asynchronous and synchronous systems,
SIViP(7), No. 6, November 2013, pp. 1183-1194.
Springer DOI 1310
BibRef

Senejohnny, D.M.[Danial Mohammadi], Delavari, H.[Hadi],
Linear estimator for fractional systems,
SIViP(8), No. 2, February 2014, pp. 389-396.
Springer DOI 1402
BibRef

Xu, G.L.[Guan-Lei], Wang, X.T.[Xiao-Tong], Wang, L.T.[Long-Tao], Liu, B.[Bo], Su, S.P.[Shi-Peng], Xu, X.G.[Xiao-Gang],
Generalized uncertainty principles associated with Hilbert transform,
SIViP(8), No. 2, February 2014, pp. 279-285.
Springer DOI 1402
BibRef

Çelik, V.[Vedat], Demir, Y.[Yakup],
Chaotic dynamics of the fractional order nonlinear system with time delay,
SIViP(8), No. 1, January 2014, pp. 65-70.
WWW Link. 1402
BibRef

Tan, V.Y.F., Atia, G.K.,
Strong Impossibility Results for Sparse Signal Processing,
SPLetters(21), No. 3, March 2014, pp. 260-264.
IEEE DOI 1403
error statistics BibRef

Kazemi, K.[Kamran], Amirian, M.[Mohammadreza], Dehghani, M.J.[Mohammad Javad],
The S-transform using a new window to improve frequency and time resolutions,
SIViP(8), No. 3, March 2014, pp. 533-541.
Springer DOI 1403
BibRef

Liu, Z.L.[Zi-Long], Parampalli, U., Guan, Y.L.[Yong Liang],
On Even-Period Binary Z-Complementary Pairs with Large ZCZs,
SPLetters(21), No. 3, March 2014, pp. 284-287.
IEEE DOI 1403
Golay codes BibRef

López-Yáñez, I.[Itzamá], Sheremetov, L.[Leonid], Yáñez-Márquez, C.[Cornelio],
A novel associative model for time series data mining,
PRL(41), No. 1, 2014, pp. 23-33.
Elsevier DOI 1403
Time series data mining BibRef

Uhlich, S.,
Computing Jacobian and Hessian of Estimators and Their Application to Risk Approximation,
SPLetters(21), No. 4, April 2014, pp. 469-472.
IEEE DOI 1403
Jacobian matrices BibRef

Längkvist, M.[Martin], Karlsson, L.[Lars], Loutfi, A.[Amy],
A review of unsupervised feature learning and deep learning for time-series modeling,
PRL(42), No. 1, 2014, pp. 11-24.
Elsevier DOI 1404
Time-series BibRef

Seelamantula, C.S.[Chandra Sekhar], Shenoy, R.R.,
A Contraction Mapping Approach for Robust Estimation of Lagged Autocorrelation,
SPLetters(21), No. 9, September 2014, pp. 1054-1058.
IEEE DOI 1406
Correlation BibRef

Górecki, T.[Tomasz],
Using derivatives in a longest common subsequence dissimilarity measure for time series classification,
PRL(45), No. 1, 2014, pp. 99-105.
Elsevier DOI 1407
Longest common subsequence BibRef

Boecking, B.[Benedikt], Chalup, S.K.[Stephan K.], Seese, D.[Detlef], Wong, A.S.W.[Aaron S.W.],
Support vector clustering of time series data with alignment kernels,
PRL(45), No. 1, 2014, pp. 129-135.
Elsevier DOI 1407
Support vector clustering BibRef

Gupta, R.[Rinki], Kumar, A.[Arun], Bahl, R.[Rajendar],
Estimation of instantaneous frequencies using iterative empirical mode decomposition,
SIViP(8), No. 5, July 2014, pp. 799-812.
Springer DOI 1407
BibRef

Zhao, H.[Hui], Wang, R.[Ruyan], Song, D.P.[Dai-Ping], Wu, D.P.[Da-Peng],
Maximally concentrated sequences in both time and linear canonical transform domains,
SIViP(8), No. 5, July 2014, pp. 819-829.
Springer DOI 1407
BibRef

Frasca, M.[Marco], Farina, A.[Alfonso],
Tartaglia-Pascal triangle and Brownian motion in non-euclidean geometries: application to heat and Black-Scholes equations,
SIViP(8), No. 6, September 2014, pp. 1149-1157.
Springer DOI 1408
Financial models. BibRef

Moreno, Á.[Álvaro], García-Haro, F.J.[Francisco Javier], Martínez, B.[Beatriz], Gilabert, M.A.[María Amparo],
Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local Regression Filter,
RS(6), No. 9, 2014, pp. 8238-8260.
DOI Link 1410
BibRef

Liu, X.[Xiang], Kosakowski, M.,
Max-Log-MAP Soft Demapper with Logarithmic Complexity for M-PAM Signals,
SPLetters(22), No. 1, January 2015, pp. 50-53.
IEEE DOI 1410
computational complexity quadrature amplitude modulation. BibRef

Naraghi-Pour, M., Soltanmohammadi, E.,
Tenor: A Measure of Central Tendency for Distributed Networks,
SPLetters(22), No. 1, January 2015, pp. 58-61.
IEEE DOI 1410
Phase of the first non-zero frequency of the discrete Fourier transform of the pmf. BibRef

McKilliam, R.G., Clarkson, I.V.L., Quinn, B.G.,
Fast Sparse Period Estimation,
SPLetters(22), No. 1, January 2015, pp. 62-66.
IEEE DOI 1410
Monte Carlo methods BibRef

Hansson-Sandsten, M., Brynolfsson, J.,
The Scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions,
SPLetters(22), No. 1, January 2015, pp. 100-104.
IEEE DOI 1410
Gaussian processes BibRef

Garcia-Trevino, E.S., Barria, J.A.,
Structural Generative Descriptions for Time Series Classification,
Cyber(44), No. 10, October 2014, pp. 1978-1991.
IEEE DOI 1410
data mining BibRef

Wang, Z.X.[Zhi-Xin], Chan, C.F.[Cheung-Fat],
Continuous Function Modeling of Head-Related Impulse Response,
SPLetters(22), No. 3, March 2015, pp. 283-287.
IEEE DOI 1410
Azimuth BibRef

So, J., Kim, D., Lee, Y., Sung, Y.,
Pilot Signal Design for Massive MIMO Systems: A Received Signal-To-Noise-Ratio-Based Approach,
SPLetters(22), No. 5, May 2015, pp. 549-553.
IEEE DOI 1411
Channel estimation BibRef

Maymon, S., Eldar, Y.C.,
The Viterbi Algorithm for Subset Selection,
SPLetters(22), No. 5, May 2015, pp. 524-528.
IEEE DOI 1411
Dictionaries BibRef

Gan, M.[Min], Chen, C.L.P., Li, H.X.[Han-Xiong], Chen, L.[Long],
Gradient Radial Basis Function Based Varying-Coefficient Autoregressive Model for Nonlinear and Nonstationary Time Series,
SPLetters(22), No. 7, July 2015, pp. 809-812.
IEEE DOI 1412
autoregressive processes BibRef

Gharehbaghi, A.[Arash], Ask, P.[Per], Babic, A.[Ankica],
A pattern recognition framework for detecting dynamic changes on cyclic time series,
PR(48), No. 3, 2015, pp. 696-708.
Elsevier DOI 1412
Hybrid model BibRef

Trigano, T., Barat, E., Dautremer, T., Montagu, T.,
Fast Digital Filtering of Spectrometric Data for Pile-up Correction,
SPLetters(22), No. 7, July 2015, pp. 973-977.
IEEE DOI 1412
Detectors BibRef

Trigano, T., Gildin, I., Sepulcre, Y.,
Pileup Correction Algorithm using an Iterated Sparse Reconstruction Method,
SPLetters(22), No. 9, September 2015, pp. 1392-1395.
IEEE DOI 1503
Computational modeling BibRef

Hensman, J., Rattray, M., Lawrence, N.D.,
Fast Nonparametric Clustering of Structured Time-Series,
PAMI(37), No. 2, February 2015, pp. 383-393.
IEEE DOI 1502
Biological system modeling BibRef

Xu, Z., MacEachern, S., Xu, X.,
Modeling Non-Gaussian Time Series with Nonparametric Bayesian Model,
PAMI(37), No. 2, February 2015, pp. 372-382.
IEEE DOI 1502
Analytical models BibRef

Kumar, M., Stoll, N., Stoll, R., Thurow, K.,
A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals: Part I,
Cyber(46), No. 5, May 2016, pp. 1118-1131.
IEEE DOI 1604
Algorithm design and analysis BibRef

Kumar, M., Stoll, N., Stoll, R., Thurow, K.,
A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals: Part II,
Cyber(45), No. 3, March 2015, pp. 486-496.
IEEE DOI 1502
Algorithm design and analysis BibRef

Naha, A., Samanta, A.K., Routray, A., Deb, A.K.,
Determining Autocorrelation Matrix Size and Sampling Frequency for MUSIC Algorithm,
SPLetters(22), No. 8, August 2015, pp. 1016-1020.
IEEE DOI 1502
correlation methods BibRef

Pei, S.C.[Soo-Chang], Chang, K.W.[Kuo-Wei],
Perfect Gaussian Integer Sequences of Arbitrary Length,
SPLetters(22), No. 8, August 2015, pp. 1040-1044.
IEEE DOI 1502
Gaussian processes BibRef

Markovsky, I.,
Comparison of Adaptive and Model-Free Methods for Dynamic Measurement,
SPLetters(22), No. 8, August 2015, pp. 1094-1097.
IEEE DOI 1502
adaptive signal processing BibRef

Pei, S.C.[Soo-Chang], Lu, K.S.[Keng-Shih],
Intrinsic Integer-Periodic Functions for Discrete Periodicity Detection,
SPLetters(22), No. 8, August 2015, pp. 1108-1112.
IEEE DOI 1502
signal sampling BibRef

Shahmansoori, A.[Arash],
Consecutive adaptive blind estimation of timing offsets for arbitrary channel time-interleaved ADCs,
SIViP(9), No. 1, January 2015, pp. 45-55.
Springer DOI 1503
analog-to-digital convertors. BibRef

Shahmansoori, A.[Arash],
Adaptive blind calibration of timing offsets in a two-channel time-interleaved analog-to-digital converter through Lagrange interpolation,
SIViP(9), No. 5, July 2015, pp. 1047-1054.
WWW Link. 1506
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Jung, A., Hannak, G., Goertz, N.,
Graphical LASSO based Model Selection for Time Series,
SPLetters(22), No. 10, October 2015, pp. 1781-1785.
IEEE DOI 1506
Algorithm design and analysis BibRef

Walker, J.S.[James S.], Jones, M.W.[Mark W.], Laramee, R.S.[Robert S.], Bidder, O.R.[Owen R.], Williams, H.J.[Hannah J.], Scott, R.[Rebecca], Shepard, E.L.C.[Emily L. C.], Wilson, R.P.[Rory P.],
TimeClassifier: a visual analytic system for the classification of multi-dimensional time series data,
VC(31), No. 6-8, June 2015, pp. 1067-1078.
Springer DOI 1506
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Farokhi, F., Shames, I., Cantoni, M.,
Promoting Truthful Behavior in Participatory-Sensing Mechanisms,
SPLetters(22), No. 10, October 2015, pp. 1538-1542.
IEEE DOI 1506
game theory BibRef

Konar, A., Sidiropoulos, N.D.,
Hidden Convexity in QCQP with Toeplitz-Hermitian Quadratics,
SPLetters(22), No. 10, October 2015, pp. 1623-1627.
IEEE DOI 1506
Hermitian matrices. Quadratically Constrained Quadratic Programming. BibRef

Wei, X.Y.[Xiao-Yao], Dragotti, P.L.[Pier Luigi],
Guaranteed Performance in the FRI Setting,
SPLetters(22), No. 10, October 2015, pp. 1661-1665.
IEEE DOI 1506
noise Finite Rate of Innovation. BibRef

Tenneti, S.V., Vaidyanathan, P.P.,
Arbitrarily Shaped Periods in Multidimensional Discrete Time Periodicity,
SPLetters(22), No. 10, October 2015, pp. 1748-1751.
IEEE DOI 1506
mathematical analysis BibRef

Elvira, V., Martino, L., Luengo, D., Bugallo, M.F.,
Efficient Multiple Importance Sampling Estimators,
SPLetters(22), No. 10, October 2015, pp. 1757-1761.
IEEE DOI 1506
computational complexity BibRef

Elvira, V., Martino, L., Luengo, D., Bugallo, M.F.,
Heretical Multiple Importance Sampling,
SPLetters(23), No. 10, October 2016, pp. 1474-1478.
IEEE DOI 1610
importance sampling BibRef

Yang, P.[Peng], Liu, Z.[Zheng], Jiang, W.L.[Wen-Li],
Parameter estimation of multi-component chirp signals based on discrete chirp Fourier transform and population Monte Carlo,
SIViP(9), No. 5, July 2015, pp. 1137-1149.
WWW Link. 1506
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Yang, Y.L.[Yan-Li], Deng, J.[Jiahao], Kang, D.[Dali],
An improved empirical mode decomposition by using dyadic masking signals,
SIViP(9), No. 6, September 2015, pp. 1259-1263.
Springer DOI 1509
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Khan, M.[Majid], Shah, T.[Tariq],
An efficient construction of substitution box with fractional chaotic system,
SIViP(9), No. 6, September 2015, pp. 1335-1338.
Springer DOI 1509
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Luo, W.[Wen], Yu, Z.Y.[Zhao-Yuan], Xiao, S.J.[Sheng-Jun], Zhu, A.X.[A-Xing], Yuan, L.W.[Lin-Wang],
Exploratory Method for Spatio-Temporal Feature Extraction and Clustering: An Integrated Multi-Scale Framework,
IJGI(4), No. 4, 2015, pp. 1870.
DOI Link 1511
E.g. weather data and El Nino. BibRef

Olsen, P.M.[Patrick M.], Kolden, C.A.[Crystal A.], Gadamus, L.[Lily],
Developing Theoretical Marine Habitat Suitability Models from Remotely-Sensed Data and Traditional Ecological Knowledge,
RS(7), No. 9, 2015, pp. 11863.
DOI Link 1511
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Biswas, N., Ray, P., Varshney, P.K.,
Distributed Detection Over Channels with Memory,
SPLetters(22), No. 12, December 2015, pp. 2494-2498.
IEEE DOI 1512
Markov processes BibRef

Khanduri, P., Kailkhura, B., Thiagarajan, J.J., Varshney, P.K.,
Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach,
SPLetters(23), No. 10, October 2016, pp. 1484-1488.
IEEE DOI 1610
compressed sensing BibRef

Ren, H.R.[Huo-Rong], Ren, A.[An], Li, Z.[Zhiwu],
A new strategy for the suppression of cross-terms in pseudo Wigner-Ville distribution,
SIViP(10), No. 1, January 2016, pp. 139-144.
Springer DOI 1601
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Guerrier, S., Molinari, R., Stebler, Y.,
Theoretical Limitations of Allan Variance-based Regression for Time Series Model Estimation,
SPLetters(23), No. 5, May 2016, pp. 597-601.
IEEE DOI 1604
calibration BibRef

Rostaghi, M., Azami, H.,
Dispersion Entropy: A Measure for Time-Series Analysis,
SPLetters(23), No. 5, May 2016, pp. 610-614.
IEEE DOI 1604
Bandwidth BibRef

Mohammadi, H., Steele, C., Chau, T.,
Post-Segmentation Swallowing Accelerometry Signal Trimming and False Positive Reduction,
SPLetters(23), No. 9, September 2016, pp. 1221-1225.
IEEE DOI 1609
accelerometers BibRef

Yuan, W.J.[Wei-Jie], Wu, N.[Nan], Wang, H.[Hua], Kuang, J.M.[Jing-Ming],
Variational Inference-Based Frequency-Domain Equalization for Faster-Than-Nyquist Signaling in Doubly Selective Channels,
SPLetters(23), No. 9, September 2016, pp. 1270-1274.
IEEE DOI 1609
computational complexity BibRef

Pirondini, E., Vybornova, A., Coscia, M., van de Ville, D.,
A Spectral Method for Generating Surrogate Graph Signals,
SPLetters(23), No. 9, September 2016, pp. 1275-1278.
IEEE DOI 1609
Fourier transforms BibRef

Shah, S.F.A.[S. Faisal A.], Wang, L.[Lei], Li, C.D.[Chuan-Dong], Zhang, Z.H.[Zhu-Hong],
Low-Complexity Design of Noninteger Fractionally Spaced Adaptive Equalizers for Coherent Optical Receivers,
SPLetters(23), No. 9, September 2016, pp. 1289-1293.
IEEE DOI 1609
adaptive equalisers BibRef

Wang, G.[Guinan], Zhang, H.J.[Hong-Juan], Yu, S.W.[Shi-Wei], Ding, S.X.[Shu-Xue],
A family of the subgradient algorithm with several cosparsity inducing functions to the cosparse recovery problem,
PRL(80), No. 1, 2016, pp. 64-69.
Elsevier DOI 1609
Cosparse analysis model BibRef

Sarkar, S.[Soumalya], Chattopdhyay, P.[Pritthi], Ray, A.[Asok],
Symbolization of dynamic data-driven systems for signal representation,
SIViP(10), No. 8, November 2016, pp. 1535-1542.
Springer DOI 1610
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Ferrand, P.,
Mixing Oscillators for Phase Noise Reduction,
SPLetters(23), No. 11, November 2016, pp. 1597-1601.
IEEE DOI 1609
circuit noise BibRef

de Fréin, R., Rickard, S.T.,
Power-Weighted Divergences for Relative Attenuation and Delay Estimation,
SPLetters(23), No. 11, November 2016, pp. 1612-1616.
IEEE DOI 1609
approximation theory BibRef

Bayram, S., Dulek, B., Gezici, S.,
Joint Detection and Decoding in the Presence of Prior Information With Uncertainty,
SPLetters(23), No. 11, November 2016, pp. 1602-1606.
IEEE DOI 1609
decoding BibRef

Martínez-Rego, D.[David], Fontenla-Romero, O.[Oscar], Alonso-Betanzos, A.[Amparo], Principe, J.C.[José C.],
Fault detection via recurrence time statistics and one-class classification,
PRL(84), No. 1, 2016, pp. 8-14.
Elsevier DOI 1612
Vibration analysis BibRef

Asadi, N., Mirzaei, A., Haghshenas, E.,
Creating Discriminative Models for Time Series Classification and Clustering by HMM Ensembles,
Cyber(46), No. 12, December 2016, pp. 2899-2910.
IEEE DOI 1612
Biological system modeling BibRef

Johard, L.[Leonard], Ruffaldi, E.[Emanuele],
Self-organizing trajectories,
PRL(84), No. 1, 2016, pp. 177-184.
Elsevier DOI 1612
Shape averaging BibRef

Adhikary, A.R.[Avik Ranjan], Liu, Z.L.[Zi-Long], Guan, Y.L.[Yong Liang], Majhi, S.[Sudhan], Budishin, S.Z.[Srdjan Z.],
Optimal Binary Periodic Almost-Complementary Pairs,
SPLetters(23), No. 12, December 2016, pp. 1816-1820.
IEEE DOI 1612
binary sequences BibRef

Wang, P., Orlik, P.V., Sadamoto, K., Tsujita, W., Gini, F.,
Parameter Estimation of Hybrid Sinusoidal FM-Polynomial Phase Signal,
SPLetters(24), No. 1, January 2017, pp. 66-70.
IEEE DOI 1702
frequency modulation BibRef

Valsesia, D.[Diego], Magli, E.[Enrico],
Binary Adaptive Embeddings From Order Statistics of Random Projections,
SPLetters(24), No. 1, January 2017, pp. 111-115.
IEEE DOI 1702
signal processing BibRef

Tobar, F., Rios, G., Valdivia, T., Guerrero, P.,
Recovering Latent Signals From a Mixture of Measurements Using a Gaussian Process Prior,
SPLetters(24), No. 2, February 2017, pp. 231-235.
IEEE DOI 1702
Bayes methods BibRef

Wang, W.D.[Wen-Dong], Wang, J.J.[Jian-Jun], Zhang, Z.L.[Zi-Li],
Robust Signal Recovery With Highly Coherent Measurement Matrices,
SPLetters(24), No. 3, March 2017, pp. 304-308.
IEEE DOI 1702
Approximation algorithms BibRef

Chen, S.J.[Shao-Jie], Liu, K.[Kai], Yang, Y.G.[Yu-Guang], Xu, Y.T.[Yu-Ting], Lee, S.[Seonjoo], Lindquist, M.[Martin], Caffo, B.S.[Brian S.], Vogelstein, J.T.[Joshua T.],
An M-estimator for reduced-rank system identification,
PRL(86), No. 1, 2017, pp. 76-81.
Elsevier DOI 1702
High dimensional time-series data. BibRef

Oloo, F.[Francis], Wallentin, G.[Gudrun],
An Adaptive Agent-Based Model of Homing Pigeons: A Genetic Algorithm Approach,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
Simulate flight routes of homing pigeons. BibRef

Arriaga-Trejo, I.A., Orozco-Lugo, A.G., Villanueva-Maldonado, J., Flores-Troncoso, J.,
Joint I/Q imbalances estimation using data-dependent superimposed training,
SIViP(11), No. 4, May 2017, pp. 729-736.
Springer DOI 1704
Joint estimation of the channel impulse response and frequency-dependent in-phase and quadrature-phase (I/Q) imbalances. BibRef

Wang, P., Orlik, P.V., Sadamoto, K., Tsujita, W., Sawa, Y.,
Cramer-Rao Bounds for a Coupled Mixture of Polynomial Phase and Sinusoidal FM Signals,
SPLetters(24), No. 6, June 2017, pp. 746-750.
IEEE DOI 1609
polynomials, signal processing, CRB, Crame´r-Rao bounds, PPS related parameters, coupled mixture, coupling mixture, independent mixture model, linear encoders, parameter estimation, polynomial phase signal, pure PPS case, sinusoidal FM signals, sinusoidal frequency modulated, Acceleration, Couplings, Doppler radar, Frequency modulation, Indexes, Mixture models, Parameter estimation, Cramér-Rao bounds (CRB), frequency modulation, parameter estimation, polynomial phase signal (PPS) BibRef

Su, B.[Bing], Ding, X.Q.[Xiao-Qing], Liu, C.S.[Chang-Song], Wang, H.[Hao], Wu, Y.[Ying],
Discriminative Transformation for Multi-Dimensional Temporal Sequences,
IP(26), No. 7, July 2017, pp. 3579-3593.
IEEE DOI 1706
Adaptation models, Character recognition, Data models, Hidden Markov models, Training, Transforms, Max-min inter-sequence distance analysis, dimensionality reduction, feature space transformation, sequence, classification BibRef

Das, M.[Monidipa], Ghosh, S.K.[Soumya K.],
semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data,
PRL(93), No. 1, 2017, pp. 192-201.
Elsevier DOI 1706
Bayesian, network BibRef

Ahmed, A.,
Compressive Acquisition and Least-Squares Reconstruction of Correlated Signals,
SPLetters(24), No. 7, July 2017, pp. 933-937.
IEEE DOI 1706
Coherence, Computer architecture, Fourier series, Frequency modulation, Signal reconstruction, Standards, Array processing, compressive sampling, correlated signals, micro-sensor arrays, randomized SVD, sub-Nyquist, sampling BibRef

Kasasbeh, H., Viswanathan, R., Cao, L.,
Noise Correlation Effect on Detection: Signals in Equicorrelated or Autoregressive(1) Gaussian,
SPLetters(24), No. 7, July 2017, pp. 1078-1082.
IEEE DOI 1706
Correlation, Covariance matrices, Eigenvalues and eigenfunctions, Gaussian noise, Sensors, Signal design, Signal to noise ratio, Autoregressive, Gaussian noise, correlation, multiple sensors, signal, detection BibRef

Audibert, L.[Lorenzo], Haddar, H.[Houssem],
The Generalized Linear Sampling Method for Limited Aperture Measurements,
SIIMS(10), No. 2, 2017, pp. 845-870.
DOI Link 1708
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Al Sarray, B.[Basad], Chrétien, S.[Stéphane], Clarkson, P.[Paul], Cottez, G.[Guillaume],
Enhancing Prony's method by nuclear norm penalization and extension to missing data,
SIViP(11), No. 6, September 2017, pp. 1089-1096.
Springer DOI 1708
modelling signals using a finite sum of exponential terms. Weather models, etc. BibRef

Dumitrescu, B.[Bogdan],
Designing Incoherent Frames With Only Matrix Vector Multiplications,
SPLetters(24), No. 9, September 2017, pp. 1265-1269.
IEEE DOI 1708
least squares approximations, minimax techniques, atom-by-atom optimization strategy, incoherent frames, min-max problem, mutual coherence, shifted power method, signal processing, Eigenvalues and eigenfunctions, Optimization, power method, weighted least squares. BibRef

de Mattos Neto, P.S.G.[Paulo S.G.], Cavalcanti, G.D.C.[George D.C.], Madeiro, F.[Francisco],
Nonlinear combination method of forecasters applied to PM time series,
PRL(95), No. 1, 2017, pp. 65-72.
Elsevier DOI 1708
Forecasting BibRef

Chirikjian, G.S.[Gregory S.],
Signal Classification in Quotient Spaces via Globally Optimal Variational Calculus,
Diff-CVML17(735-743)
IEEE DOI 1709
Computer vision, Pattern recognition, Zinc BibRef

Jiang, L.[Li], Zhou, J.[Junni], Yang, R.L.[Run-Ling], Liu, L.[Li], Li, L.[Lin],
Parameter estimation of LFMCW signal using S-Method with adaptive window,
ICIVC17(875-878)
IEEE DOI 1708
Estimation, Frequency estimation, Frequency modulation, Signal to noise ratio, Time-frequency analysis, Transforms, S-Method, adaptive window, linear frequency modulated continuous wave, short-time fourier transform, time frequency analysis. BibRef