Neil J. Bershad

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Person:634877

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zbMath Open bershad.neil-jMaRDI QIDQ634877

List of research outcomes

PublicationDate of PublicationType
Stochastic Analysis of the Recursive Least Squares Algorithm for Cyclostationary Colored Inputs2022-09-23Paper
A New Decision-Theory-Based Framework for Echo Canceler Control2019-02-12Paper
Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian and Non-Gaussian Inputs2019-02-12Paper
Stochastic Analysis of the Signed LMS Algorithms for Cyclostationary White Gaussian Inputs2019-02-08Paper
Stochastic Analysis of an Adaptive Line Enhancer/Canceler With a Cyclostationary Input2019-02-07Paper
Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian Inputs2018-08-22Paper
Stochastic Analysis of a Stable Normalized Least Mean Fourth Algorithm for Adaptive Noise Canceling With a White Gaussian Reference2018-07-18Paper
On Error-Saturation Nonlinearities in NLMS Adaptation2018-07-09Paper
A Stochastic Model for a Pseudo Affine Projection Algorithm2018-07-09Paper
Comments on "A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis2018-07-09Paper
Echo Cancellation—The Generalized Likelihood Ratio Test For Double-Talk Versus Channel Change2018-07-09Paper
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs2018-06-27Paper
An Affine Combination of Two LMS Adaptive Filters—Transient Mean-Square Analysis2018-06-27Paper
On Error Saturation Nonlinearities for LMS Adaptation in Impulsive Noise2018-06-27Paper
A statistical analysis of the affine projection algorithm for unity step size and autoregressive inputs2017-11-20Paper
Echo Cancellation—A Likelihood Ratio Test for Double-Talk Versus Channel Change2017-10-30Paper
Fast coupled adaptation for sparse impulse responses using a partial haar transform2017-09-20Paper
Errata to "stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for gaussian inputs"2017-09-08Paper
The performance surface in filtered nonlinear mean-square estimation2017-08-25Paper
Stochastic analysis of an error power ratio scheme applied to the affine combination of two LMS adaptive filters2011-08-17Paper
Non-Wiener behavior of the filtered LMS algorithm2002-07-10Paper
Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements2002-02-07Paper
Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems2001-08-14Paper
Neural networks for modeling nonlinear memoryless communication channels1997-10-26Paper
Stochastic convergence analysis of a partially adaptive two-layer perceptron using a system identification model1997-02-28Paper
A frequency domain model for 'filtered' LMS algorithms-stability analysis, design, and elimination of the training mode1993-08-15Paper
Statistical analysis of the single-layer backpropagation algorithm. II. MSE and classification performance1993-05-16Paper
Statistical analysis of the single-layer backpropagation algorithm. II. MSE and classification performance1993-05-16Paper
Dynamic paired-comparison scaling.1992-09-27Paper
On error-saturation nonlinearities in LMS adaptation1988-01-01Paper
A weighted normalized frequency domain LMS adaptive algorithm1988-01-01Paper
The complex LMS adaptive algorithm--Transient weight mean and covariance with applications to the ALE1983-01-01Paper
The statistical analysis of a Thurstonian model for rating chess players1979-01-01Paper
Envelope Detector Performance for a Partially Coherent-Fading Sine Wave in Noise1976-01-01Paper
https://portal.mardi4nfdi.de/entity/Q40747891974-01-01Paper
Threshold Behavior of a Quasi-Optimum FM Demodulator1974-01-01Paper
On estimating signal-to-noise ratio using the sample correlation coefficient (Corresp.)1974-01-01Paper
Eliminating intersymbol interference -- A state-space approach1972-01-01Paper
Time-optimal control switching times using entire function theory†1971-01-01Paper
The dynamics of time-varying threshold learning1969-01-01Paper

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