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| Adaptive Reconstructive Tau-Openings: Convergence and the | steady | -State Distribution |
| Assessing Perceived Image Quality Using | steady | -State Visual Evoked Potentials and Spatio-Spectral Decomposition |
| Balanced | steady | state free precession fMRI |
| Blood pool contrast-enhanced MRA: improved arterial visualization in the | steady | state |
| Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in | steady | -state phenotype classification |
| Closed-Form Approximation for the | steady | -State Performance of Second-Order Kalman Filters |
| Correction of ZY-3 image distortion caused by satellite jitter via virtual | steady | reimaging using attitude data |
| Finite-Time Control of High-Speed Train With Guaranteed | steady | -State and Transient Performance |
| High-Resolution Oscillating | steady | -State fMRI Using Patch-Tensor Low-Rank Reconstruction |
| Improvements on obstacle detection in the pantograph gauge due to the recognition of | steady | arms |
| minimised complexity dynamic structure adaptive filter design for improved | steady | state performance analysis, A |
| Model-based estimation of T2 maps with dual-echo | steady | -state MR imaging |
| Multiclass | steady | -State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli |
| neurophysiology-inspired | steady | -state color appearance model, A |
| New | steady | -State Analysis Results of Variable Step-Size LMS Algorithm With Different Noise Distributions |
| NLMS Is | steady | -State Schur-Convex, The |
| On the | steady | State Performance of the Kalman Filter Applied to Acoustical Systems |
| On the | steady | -State Analysis of PNLMS-Type Algorithms for Correlated Gaussian Input Data |
| Optimizing MR Scan Design for Model-Based T_1 , T_2 Estimation From | steady | -State Sequences |
| Performance of a | steady | -State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury |
| Rapid and | steady | Mass Loss of the Patagonian Icefields throughout the GRACE Era: 2002-2017, The |
| Response-Type Road Anomaly Detection and Evaluation Method for | steady | Driving of Automated Vehicles, A |
| Slow and | steady | Feature Analysis: Higher Order Temporal Coherence in Video |
| steady | -state analysis of computational load in correlation-based image tracking |
| steady | -state analysis of quantized distributed incremental LMS algorithm without Gaussian restriction |
| steady | -State and Transient Evaluation of FPAA Implemented Analog Filters Using a MLS System Analyzer |
| steady | -State Behavior of General Complex-Valued Diffusion LMS Strategies |
| steady | -state behavior of the improved normalized subband adaptive filter algorithm and its improvement in under-modeling |
| steady | -State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion |
| steady | -State Non-Line-Of-Sight Imaging |
| steady | -State Performance Analysis of the Distributed FxLMS Algorithm for Narrowband ANC System With Frequency Mismatch |
| steady | -State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants |
| steady | -State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons |
| steady | -state target real-time optimization for adaptive constrained generalized predictive control |
| Study of a | steady | -State Landscape Using Remote Sensing and Topographic Analysis |
| study of brain networks driven by | steady | -state visual evoked potentials, The |
| Synchronous Control of Vehicle Following Behavior and Distance Under the Safe and Efficient | steady | -Following State: Two Case Studies of High-Speed Train Following Control |
| System Biology Approach for the | steady | -State Analysis of Gene Signaling Networks, A |
| Temporal characteristics of L- and M-cone isolating | steady | -state electroretinograms |
| Third-Order Kalman Filter: Tuning and | steady | -State Performance |
| time-frequency convolutional neural network for the offline classification of | steady | -state visual evoked potential responses, A |
| To combine | steady | -state genetic algorithm and ensemble learning for data clustering |
| Using a Head-up Display-Based | steady | -State Visually Evoked Potential Brain: Computer Interface to Control a Simulated Vehicle |
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