25.1.5.1 Time Series Analysis, Recovery, Restoration, Estimation

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
BibRef

Vijayakumar, P., Gunavatohi, K.,
Efficient Energy Recovery for Positive Feedback Adiabatic Logic,
GVIP(05), No. V7, 2005, pp. xx-yy
HTML Version. BibRef 0500

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

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

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

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

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

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

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

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

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

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

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
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

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
BibRef

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

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

Göken, Ç., Gezici, S.,
Optimal Parameter Encoding Based on Worst Case Fisher Information Under a Secrecy Constraint,
SPLetters(24), No. 11, November 2017, pp. 1611-1615.
IEEE DOI 1710
encoding, mean square error methods, linear minimum MSE estimator, low-complexity algorithm, 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

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, polynomial phase signal, pure PPS case, sinusoidal FM signals, Doppler radar, Frequency modulation, Indexes, Mixture models, Parameter estimation. 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

Bendory, T., Eldar, Y.C.,
Recovery of Sparse Positive Signals on the Sphere from Low Resolution Measurements,
SPLetters(22), No. 12, December 2015, pp. 2383-2386.
IEEE DOI 1512
convex programming BibRef

Wan, Z.[Zhong], Guo, J.[Jie], Liu, J.J.[Jing-Jing], Liu, W.Y.[Wei-Yi],
A modified spectral conjugate gradient projection method for signal recovery,
SIViP(12), No. 8, November 2018, pp. 1455-1462.
Springer DOI 1809
Signal recovery. BibRef

Perotti, L.C., Vrinceanu, D., Bessis, D.,
Recovery of the Starting Times of Delayed Signals,
SPLetters(25), No. 10, October 2018, pp. 1455-1459.
IEEE DOI 1810
iterative methods, signal processing, smoothing methods, starting times, delayed signals, starting point, arbitrary number, Padé approximant BibRef

Bey, N.Y.[Nourédine Yahya],
Highly accurate frequency estimation of brief duration signals in noise,
SIViP(12), No. 7, October 2018, pp. 1279-1283.
WWW Link. 1809
BibRef

Horstmann, S., Ramírez, D., Schreier, P.J.,
Joint Detection of Almost-Cyclostationary Signals and Estimation of Their Cycle Period,
SPLetters(25), No. 11, November 2018, pp. 1695-1699.
IEEE DOI 1811
channel bank filters, interpolation, signal detection, signal sampling, cycle period, wide-sense stationary noise, sample rate conversion BibRef

Wang, X., Li, G., Varshney, P.K.,
Distributed Detection of Weak Signals From One-Bit Measurements Under Observation Model Uncertainties,
SPLetters(26), No. 3, March 2019, pp. 415-419.
IEEE DOI 1903
maximum likelihood estimation, quantisation (signal), signal detection, wireless sensor networks, one-bit data, locally most powerful test BibRef

Khan, N.A.[Nabeel Ali], Mohammadi, M.[Mokhtar], Ali, S.[Sadiq],
Instantaneous frequency estimation of intersecting and close multi-component signals with varying amplitudes,
SIViP(13), No. 3, April 2019, pp. 517-524.
Springer DOI 1904
BibRef

Khan, S.A., Saleem, S., Hassan, S.A., Ilyas, M.U.,
An Improved Data-Aided Linear Estimator of Modulation Index for Binary CPM Signals,
SPLetters(26), No. 5, May 2019, pp. 780-784.
IEEE DOI 1905
continuous phase modulation, error statistics, estimation algorithm, partial response BibRef

Nichols, J.M., Hutchinson, M.N., Menkart, N., Cranch, G.A., Rohde, G.K.,
Time Delay Estimation Via Wasserstein Distance Minimization,
SPLetters(26), No. 6, June 2019, pp. 908-912.
IEEE DOI 1906
computational complexity, delay estimation, minimisation, signal processing, linear time, time delay estimation, Wasserstein distance BibRef

Gan, M., Chen, X., Ding, F., Chen, G., Chen, C.L.P.,
Adaptive RBF-AR Models Based on Multi-Innovation Least Squares Method,
SPLetters(26), No. 8, August 2019, pp. 1182-1186.
IEEE DOI 1908
autoregressive processes, learning (artificial intelligence), least mean squares methods, parameter estimation, time series prediction BibRef

Deprem, Z.[Zeynel], Çetin, A.E.[A. Enis], Arikan, O.[Orhan],
AM/FM signal estimation with micro-segmentation and polynomial fit,
SIViP(8), No. 3, March 2014, pp. 399-413.
Springer DOI 1403
BibRef

Muniraju, G., Tepedelenlioglu, C., Spanias, A.,
Consensus Based Distributed Spectral Radius Estimation,
SPLetters(27), 2020, pp. 1045-1049.
IEEE DOI 2007
Convergence, Eigenvalues and eigenfunctions, Packet loss, Estimation, Distributed algorithms, Signal processing algorithms, spectral radius BibRef

Mohammadi, E., Gohari, A., Marvasti, F.,
A Square Root Sampling Law for Signal Recovery,
SPLetters(26), No. 4, April 2019, pp. 562-566.
IEEE DOI 1903
Noise measurement, Distortion, Distortion measurement, Stochastic processes, Atmospheric measurements, square root law BibRef

Dlask, M.[Martin], Kukal, J.[Jaromir],
Hurst exponent estimation from short time series,
SIViP(13), No. 2, March 2019, pp. 263-269.
Springer DOI 1904
Time series. BibRef

Duan, J.B.[Jun-Bo], Idier, J.[Jérôme], Wang, Y.P.[Yu-Ping], Wan, M.X.[Ming-Xi],
A Joint Least Squares and Least Absolute Deviation Model,
SPLetters(26), No. 4, April 2019, pp. 543-547.
IEEE DOI 1903
LASSO: Least absolute shrinkage and selection operator. least squares approximations, signal restoration, JOLESALAD, generalized LASSO, constrained LASSO, LASSO models, ramp signal restoration BibRef

Fosson, S.M., Abuabiah, M.,
Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization,
SPLetters(26), No. 7, July 2019, pp. 1070-1074.
IEEE DOI 1906
Optimization, Noise measurement, Sparse matrices, Compressed sensing, Image coding, Sensors, Programming, sparse signal recovery BibRef

Guo, J., Chen, H., Chen, S.,
Improved Kernel Recursive Least Squares Algorithm Based Online Prediction for Nonstationary Time Series,
SPLetters(27), 2020, pp. 1365-1369.
IEEE DOI 2008
Signal processing algorithms, Kernel, Prediction algorithms, Heuristic algorithms, Time series analysis, Dictionaries, quantized kernel recursive least squares BibRef

Nie, D., Xie, K., Zhou, F., Qiao, G.,
A Correlation Detection Method of Low SNR Based on Multi-Channelization,
SPLetters(27), 2020, pp. 1375-1379.
IEEE DOI 2008
Correlation, Signal to noise ratio, Signal processing algorithms, Signal detection, Detection algorithms, Analytical models, time-varying signal BibRef

Garg, K., Baranwal, M.,
CAPPA: Continuous-Time Accelerated Proximal Point Algorithm for Sparse Recovery,
SPLetters(27), 2020, pp. 1760-1764.
IEEE DOI 2010
Convergence, Heuristic algorithms, Signal processing algorithms, Machine learning algorithms, Convex functions, Acceleration, signal reconstruction BibRef

Harel, N.[Nadav], Routtenberg, T.[Tirza],
Bayesian Post-Model-Selection Estimation,
SPLetters(28), 2021, pp. 175-179.
IEEE DOI 2102
Estimation, Bayes methods, Probability density function, Parameter estimation, Computational modeling, sparse recovery BibRef

Berman, I.E.[Itai E.], Routtenberg, T.[Tirza],
Partially Linear Bayesian Estimation Using Mixed-Resolution Data,
SPLetters(28), 2021, pp. 2202-2206.
IEEE DOI 2112
Q measurement, Estimation, Quantization (signal), Closed-form solutions, Channel estimation, mixed-resolution data BibRef

Cheng, Y.Y.[Yi-Yao], Liu, L.[Lei], Ping, L.[Li],
An Integral-Based Approach to Orthogonal AMP,
SPLetters(28), 2021, pp. 194-198.
IEEE DOI 2102
Monte Carlo methods, Training, Signal processing algorithms, Binary phase shift keying, Software algorithms, Sensors, state evolution BibRef

Rupniewski, M.W.,
Reconstruction of Periodic Signals From Asynchronous Trains of Samples,
SPLetters(28), 2021, pp. 289-293.
IEEE DOI 2102
Random variables, Signal reconstruction, Signal processing algorithms, Sensors, Probabilistic logic, Shape, signal sampling BibRef

Øyvind Mikalsen, K.[Karl], Soguero-Ruiz, C.[Cristina], Maria Bianchi, F.[Filippo], Revhaug, A.[Arthur], Jenssen, R.[Robert],
Time series cluster kernels to exploit informative missingness and incomplete label information,
PR(115), 2021, pp. 107896.
Elsevier DOI 2104
Multivariate time series, Kernel methods, Missing data, Informative missingness, Semi-supervised learning BibRef

Xie, C.L.[Chun-Lei], Sun, Y.[Yu], Ming, Y.[Yang],
Constructions of Optimal Binary Z-Complementary Sequence Sets With Large Zero Correlation Zone,
SPLetters(28), 2021, pp. 1694-1698.
IEEE DOI 2109
Boolean functions, Zero correlation zone, Correlation, Sun, Companies, Systematics, Research and development, zero correlation zone BibRef

Lai, H.D.[Hua-Dong], Xu, W.C.[Wei-Chao], Dai, J.S.[Ji-Sheng], Zhou, Y.Z.[Yan-Zhou],
Threshold Setting of Generalized Likelihood Ratio Test for Impropriety of Complex Signals,
SPLetters(28), 2021, pp. 1699-1703.
IEEE DOI 2109
Covariance matrices, Transforms, Simulation, Signal processing algorithms, Random variables, impropriety test BibRef

Haley, C.,
Missing-Data Nonparametric Coherency Estimation,
SPLetters(28), 2021, pp. 1704-1708.
IEEE DOI 2109
Coherence, Time series analysis, Frequency estimation, Smoothing methods, Recruitment, Oscillators, Indexes, Coherence, power spectrum 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

Gkoktsi, K., Tau Siesakul, B., Giaralis, A.,
Multi-channel sub-Nyquist cross-spectral estimation for modal analysis of vibrating structures,
WSSIP15(287-290)
IEEE DOI 1603
acceleration measurement BibRef

Narayanan, S., Sahoo, S.K., Makur, A.,
Recovery of correlated sparse signals using adaptive backtracking matching pursuit,
VCIP15(1-4)
IEEE DOI 1605
Correlated sparse signals BibRef

Ravelomanantsoa, A., Rabah, H., Rouane, A.,
Fast and efficient signals recovery for deterministic compressive sensing: Applications to biosignals,
DASIP15(1-6)
IEEE DOI 1605
compressed sensing BibRef

Liu, S.[Song], Yamada, M.[Makoto], Collier, N.[Nigel], Sugiyama, M.[Masashi],
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation,
SSSPR12(363-372).
Springer DOI 1211
BibRef

Jibia, A.U., Salami, M.J.E., Khalifa, O.O., Elfaki, F.,
Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals,
WSSIP09(1-5).
IEEE DOI 0906
BibRef

Wen, F.[Fei], Wan, Q.[Qun],
Time Delay Estimation Based on Mutual Information Estimation,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, X.M.[Xue Mei], Tao, R.[Ran], Wang, Y.[Yue],
Time Delay Estimation Based on the Fractional Fourier Transform in the Passive System,
CISP09(1-4).
IEEE DOI 0910
BibRef

Wang, T.[Tao], Wan, Q.[Qun],
Sparse Signal Recovery via Multi-Residual Based Greedy Method,
CISP09(1-4).
IEEE DOI 0910
BibRef

Li, Z.L.[Zhi-Lin], Chen, H.[Houjin], Yao, C.[Chang], Li, J.[Jupeng], Yang, N.[Na],
Sparse Signal Recovery via Optimized Orthogonal Matching Pursuit,
CISP09(1-4).
IEEE DOI 0910
BibRef

Nelson, D., Loughlin, P.J., Cristobal, G., Cohen, L.[Leon],
Time-frequency methods for biological signal estimation,
ICPR00(Vol III: 110-114).
IEEE DOI 0403
BibRef

Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Network Analysis, Wireless, Network Intrusion .