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Digital Signal Processing, ISSN 1051-2004, 04/2014, Volume 27, Issue 1, pp. 44 - 56
In this paper, we propose prominent subspace least-mean-square (PS-LMS) algorithms for fast identification of time-varying system... 
Least-mean-square (LMS) | Adaptive filter | System identification | Singular value decomposition | ALGORITHM | STATIONARY | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms | Errors | Least squares method | Statistical distributions | Subspaces | Recursive | Convergence
Journal Article
AEUE - International Journal of Electronics and Communications, ISSN 1434-8411, 01/2015, Volume 69, Issue 1, pp. 153 - 162
...) algorithm, considering two realistic conditions; errors that occur due to the noisy links during the transmission of local estimations between nodes, and errors that occur due to the application of deficient length adaptive filter... 
Adaptive networks | Noisy links | Distributed estimation | DILMS algorithm | Deficient length | PERFORMANCE | RECURSIVE LEAST-SQUARES | MEAN SQUARES | TELECOMMUNICATIONS | FORMULATION | STRATEGIES | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE transactions on signal processing, ISSN 1053-587X, 2020, Volume 68, pp. 2370 - 2385
In many practical systems concerning linear system identification with adaptive filters, the performance of the system is intrinsically limited by the problem of missing data, which might arise either... 
Linear systems | Adaptation models | least mean squares | Parameter estimation | Signal processing algorithms | Stochastic processes | Adaptive filters | missing input data | Approximation algorithms | Data models | missing stochastic gradient descent (mSGD) | RECURSIVE-IDENTIFICATION | FILTER | PARAMETER-ESTIMATION | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
International journal of electrical power & energy systems, ISSN 0142-0615, 2016, Volume 75, pp. 91 - 98
Power system harmonics should be estimated properly for the maintenance of power quality. So, there is a need for development of more accurate and... 
Least Mean Square (LMS) | Kalman Filter (KF) | Fast Fourier Transform (FFT) | Variable Leaky Least Mean Square (VLLMS) | Recursive Least Square (RLS) | LMS ALGORITHM | FFT | FREQUENCY ESTIMATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Electric power systems | Electrical engineering | Algorithms
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 12/1995, Volume 43, Issue 12, pp. 2863 - 2871
Journal Article
Circuits, systems, and signal processing, ISSN 1531-5878, 2018, Volume 37, Issue 11, pp. 4955 - 4972
Journal Article
Conference Proceeding
Neurocomputing (Amsterdam), ISSN 0925-2312, 2019, Volume 329, pp. 153 - 164
.... The CFLANN-DRLS algorithm exploits the time delayed error signal with the gain vector delayed by D cycles to form the weight increment term, which provides potential implementation in the filter... 
Time delay | Functional link artificial neural network (FLANN) | Recursive algorithm | Chebyshev polynomials | Nonlinear system identification | FILTER | IMPLEMENTATION | NONLINEAR-SYSTEM IDENTIFICATION | GRADIENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | LMS ALGORITHM | KERNEL | MULTILAYER PERCEPTRON | VOLTERRA
Journal Article
Signal Processing, ISSN 0165-1684, 2001, Volume 81, Issue 5, pp. 1101 - 1107
This paper addresses the problem of designing recursive L-filters optimized by the least mean square (LMS) algorithm... 
L-filters | LMS optimization | Recursive filtering | ORDER STATISTIC FILTERS | recursive filtering | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE transactions on signal processing, ISSN 1941-0476, 2018, Volume 66, Issue 7, pp. 1775 - 1790
This paper presents novel adaptive schemes and the pertinent analysis for estimation of the number of targets, their associated radar cross section (RCS)... 
Radar cross-sections | least mean squares (LMS) | Wiener filter | MIMO radar | Estimation | Imaging | Radar imaging | Bayesian information criterion (BIC) | Doppler effect | Covariance matrices | 2D-imaging | recursive least squares (RLS) | LOCALIZATION | NUMBER | RESOLUTION | TIME | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | DIMENSION | SELECTION
Journal Article
IEEE transaction on neural networks and learning systems, ISSN 2162-2388, 2019, Volume 30, Issue 12, pp. 3839 - 3846
Journal Article
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