N. Bershad

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A nonlinear analytical model for the quantized LMS algorithm-the arbitrary step size case

José Carlos M. Bermudez, Neil J. Bershad, J. Bermudez, 1996, IEEE Trans. Signal Process..

On error-saturation nonlinearities in LMS adaptation

Neil J. Bershad, N. Bershad, 1988, IEEE Trans. Acoust. Speech Signal Process..

Tracking characteristics of the LMS adaptive line enhancer-response to a linear chirp signal in noise

N. Bershad, P. Feintuch, F. Reed, 1980 .

The complex LMS adaptive algorithm--Transient weight mean and covariance with applications to the ALE

N. Bershad, B. Fisher, 1983 .

Comments on and additions to "An adaptive recursive LMS filter"

N. Bershad, C. Johnson, P. Feintuch, 1977 .

Quantization and other nonlinear effects in the LMS adaptive algorithm

N. J. Bershad, D. T. Sherwood, N. Bershad, 1986 .

Random differential equations in science and engineering

N. Bershad, R. Pawula, 1975, Proceedings of the IEEE.

Non-Wiener behavior of the filtered LMS algorithm

J. Bermudez, N. Bershad, 1999 .

Stability of non-Wiener solutions of the filtered LMS algorithm

J. Bermudez, N. Bershad, N.J. Bershad, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Analysis of a first order complex recursive LMS adaptive predictor

N. Bershad, 1991 .

A stochastic analysis of the affine projection algorithm for Gaussian autoregressive inputs

Steve McLaughlin, Darel A. Linebarger, Neil J. Bershad, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Sonar Array Detection ofGaussian Signals inGaussian Noise

N. Bershad, P. Feintuch, 1974 .

Sonar Array Detection of Gaussian Signals in Gaussian Noise of Unknown Power

N. Bershad, P. Feintuch, 1974, IEEE Transactions on Aerospace and Electronic Systems.

Time delay estimation using the LMS adaptive filter--Dynamic behavior

N. Bershad, P. Feintuch, F. Reed, 1981 .

LMS adaptation with correlated data--A scalar example

N. Bershad, N. Bershad, L. Qu, 1984 .

Correlation function for the weight sequence of the frequency domain adaptive filter

P. Feintuch, N. Bershad, N. Bershad, 1982 .

Quantization effects in the complex LMS adaptive algorithm: Linearization using dither-theory

N. Bershad, D. Sherwood, 1987 .

Optimum Binary FSK for Transmitted Reference Systems Over Rayleigh Fading Channels

N. J. Bershad, N. Bershad, 1966 .

The performance surface in nonlinear mean square estimation: application to active noise control problems with correlated signals

J. Bermudez, N. Bershad, M. Costa, 2002 .

An affine combination of two NLMS adaptive filters - Transient mean-square analysis

Jean-Yves Tourneret, N. J. Bershad, J. Bermudez, 2008 .

An affine combination of two LMS adaptive filters - statistical analysis of an error power ratio scheme

J. Bermudez, N. Bershad, J. Tourneret, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

A stochastic analysis of the NLMS algorithm implemented in finite precision

J. Bermudez, N. Bershad, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

A partial analysis of stochastic convergence in a generalized two-layer perceptron with backpropagation learning

J. Shynk, N. Bershad, J. L. Vaughn, 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

Time-optimal control switching times using entire function theory†

N. Bershad, P. Vena, 1971 .

C. Comparison of the Quantization Noise and Dither Contributions to the Transient Portion of Mean Square Error

N. Bershad, 1988 .

Dynamic paired-comparison scaling

William H. Batchelder, Neil J. Bershad, N. Bershad, 1992 .

The statistical analysis of a thurstonian model for rating chess players

William H. Batchelder, Neil J. Bershad, N. Bershad, 1979 .

Stochastic Analysis of a Stable Normalized Least Mean Fourth Algorithm for Adaptive Noise Canceling With a White Gaussian Reference

Eweda Eweda, Neil J. Bershad, E. Eweda, 2012, IEEE Transactions on Signal Processing.

Stochastic analysis of the LMS algorithm with a saturation nonlinearity following the adaptive filter output

José Carlos M. Bermudez, Neil J. Bershad, Márcio Holsbach Costa, 2001, IEEE Trans. Signal Process..

Analysis of stochastic gradient tracking of time-varying polynomial Wiener systems

Jean-Marc Vesin, Neil J. Bershad, Patrick Celka, 2000, IEEE Trans. Signal Process..

Sinusoidal interference rejection analysis of an LMS adaptive feedforward controller with a noisy periodic reference

José Carlos M. Bermudez, Neil J. Bershad, J. Bermudez, 1998, IEEE Trans. Signal Process..

Analysis of an LMS adaptive feedforward controller for periodic disturbance rejection: Non-wiener solutions for the LMS algorithm with a noisy reference-revisited

José Carlos M. Bermudez, Neil J. Bershad, J. Bermudez, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Mean-square stability of the Normalized Least-Mean Fourth algorithm for white Gaussian inputs

José Carlos M. Bermudez, Neil J. Bershad, J. Bermudez, 2011, Digit. Signal Process..

A stochastic model for a pseudo affine projection algorithm operating in a nonstationary environment

J. Bermudez, N. Bershad, S.J.M. de Almeida, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Adaptive recovery of a chirped sinusoid in noise. I. Performance of the RLS algorithm

Odile Macchi, Neil J. Bershad, O. Macchi, 1991, IEEE Trans. Signal Process..

An Affine Combination of Two LMS Adaptive Filters—Transient Mean-Square Analysis

Jean-Yves Tourneret, José Carlos M. Bermudez, Neil J. Bershad, 2008, IEEE Transactions on Signal Processing.

Mean weight behavior of the Filtered-X LMS algorithm

Rui Seara, José Carlos M. Bermudez, Neil J. Bershad, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Resolution, Optical-Channel Capacity and Information Theory*

Neil J. Bershad, N. Bershad, 1969 .

Stochastic analysis of the LMS algorithm for cyclostationary colored Gaussian inputs

Eweda Eweda, José Carlos M. Bermudez, Neil J. Bershad, 2019, Signal Process..

A New Decision-Theory-Based Framework for Echo Canceler Control

Tales Imbiriba, Jean-Yves Tourneret, José Carlos M. Bermudez, 2017, IEEE Transactions on Signal Processing.

Comments on "Time delay estimation using the LMS adaptive filter-static behavior"

Neil J. Bershad, Lian Zuo Qu, N. Bershad, 1985, IEEE Trans. Acoust. Speech Signal Process..

Strands: An Efficient and Extensible Thread Management Architecture

Neil J. Bershad, Emin Gun, Pardyak Brian, 1997 .

Analysis of the normalized LMS algorithm with Gaussian inputs

Neil J. Bershad, N. Bershad, 1986, IEEE Trans. Acoust. Speech Signal Process..

On the optimum design of multipath signals (Corresp.)

Neil J. Bershad, N. Bershad, 1964, IEEE Trans. Inf. Theory.

Neural network modeling and identification of nonlinear channels with memory: algorithms, applications, and analytic models

Jacques Sombrin, Mohamed Ibnkahla, Neil J. Bershad, 1998, IEEE Trans. Signal Process..

Fluctuation analysis of a two-layer backpropagation algorithm used for modelling nonlinear memoryless channels

Mohamed Ibnkahla, Neil J. Bershad, Jan Cools, 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

Neural networks for modeling nonlinear memoryless communication channels

Jacques Sombrin, Neil J. Bershad, Francis Castanie, 1997, IEEE Trans. Commun..

Statistical analysis of a two-layer backpropagation algorithm used for modeling nonlinear memoryless channels: the single neuron case

Mohamed Ibnkahla, Neil J. Bershad, Francis Castanie, 1997, IEEE Trans. Signal Process..

A transient learning comparison of Rosenblatt, backpropagation, and LMS algorithms for a single-layer perceptron for system identification

Neil J. Bershad, Isaac Engel, N. Bershad, 1994, IEEE Trans. Signal Process..

On the moment stability of gaussian random linear systems

N. Bershad, P. Derusso, 1964 .

On the stability of randomly time-varying linear systems

N. Bershad, N. Bershad, 1964 .

Non-Wiener solutions for the LMS algorithm-a time domain approach

Neil J. Bershad, Paul L. Feintuch, N. Bershad, 1995, IEEE Trans. Signal Process..

Stochastic Analysis of the Signed LMS Algorithms for Cyclostationary White Gaussian Inputs

Eweda Eweda, Neil J. Bershad, E. Eweda, 2017, IEEE Transactions on Signal Processing.

A Stochastic Model for a Pseudo Affine Projection Algorithm

Sérgio J. M. de Almeida, José Carlos M. Bermudez, Neil J. Bershad, 2009, IEEE Transactions on Signal Processing.

A statistical analysis of the affine projection algorithm for unity step size and autoregressive inputs

Sérgio J. M. de Almeida, José Carlos M. Bermudez, Neil J. Bershad, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Stochastic analysis of the LMS algorithm for cyclostationary colored Gaussian and non-Gaussian inputs

Eweda Eweda, José Carlos M. Bermudez, Neil J. Bershad, 2019, Digit. Signal Process..

Stochastic analysis of the Least Mean Kurtosis algorithm for Gaussian inputs

José Carlos M. Bermudez, Neil J. Bershad, J. Bermudez, 2016, Digit. Signal Process..

Stochastic analysis of the diffusion LMS algorithm for cyclostationary white Gaussian inputs

Eweda Eweda, José Carlos M. Bermudez, Neil J. Bershad, 2021, Signal Process..

Stochastic analysis of the diffusion least mean square and normalized least mean square algorithms for cyclostationary white Gaussian and non‐Gaussian inputs pdf

Eweda Eweda, Neil J. Bershad, Jose C. M. Bermudez, 2021, International Journal of Adaptive Control and Signal Processing.

Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian and Non-Gaussian Inputs

Eweda Eweda, José Carlos M. Bermudez, Neil J. Bershad, 2018, IEEE Transactions on Signal Processing.

Echo Cancellation—A Likelihood Ratio Test for Double-Talk Versus Channel Change

Jean-Yves Tourneret, Neil J. Bershad, N. Bershad, 2006, IEEE Transactions on Signal Processing.

Stochastic analysis of the filtered-X LMS algorithm in systems with nonlinear secondary paths

José Carlos M. Bermudez, Neil J. Bershad, Márcio Holsbach Costa, 2002, IEEE Trans. Signal Process..

Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian Inputs

Eweda Eweda, José Carlos M. Bermudez, Neil J. Bershad, 2014, IEEE Transactions on Signal Processing.

Stochastic analysis of the least mean fourth algorithm for non-stationary white Gaussian inputs

Eweda Eweda, Neil J. Bershad, Jose C. M. Bermudez, 2014, Signal Image Video Process..

Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with Hermite polynomial expansions

Steve McLaughlin, Neil J. Bershad, Patrick Celka, 2001, IEEE Trans. Signal Process..

Error probabilities for DS spread-spectrum systems using an ALE for narrow-band interference rejection

Neil J. Bershad, N. Bershad, 1988, IEEE Trans. Commun..

The Dynamics of Time-Varying Threshold Learning

Jack Sklansky, Neil J. Bershad, J. Sklansky, 1969, Inf. Control..

On estimating signal-to-noise ratio using the sample correlation coefficient (Corresp.)

Neil J. Bershad, A. Joseph Rockmore, N. Bershad, 1974, IEEE Trans. Inf. Theory.

ALE behavior for two sinusoidal signal models

Neil J. Bershad, Benjamin Fisher, N. Bershad, 1985, IEEE Trans. Acoust. Speech Signal Process..

The application of the frequency domain LMS adaptive filter to split array bearing estimation with a sinusoidal signal

Neil J. Bershad, Frances A. Reed, Paul L. Feintuch, 1985, IEEE Trans. Acoust. Speech Signal Process..

Matched-Filter Envelope Detector Deflection Performance for a Correlated Phase Channel

N. J. Bershad, P. Feintuch, N. Bershad, 1987 .

Performance of the 2-2 constant modulus (CM) adaptive algorithm for Rayleigh fading sinusoids in Gaussian noise

Neil J. Bershad, S. Roy, Subhasish Subhasish, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Transient and tracking performance analysis of the quantized LMS algorithm for time-varying system identification

José Carlos M. Bermudez, Neil J. Bershad, J. Bermudez, 1996, IEEE Trans. Signal Process..

Threshold learning and Brownian motion (Corresp.)

Jack Sklansky, Neil J. Bershad, J. Sklansky, 1971, IEEE Trans. Inf. Theory.

An improved model for the second moment of the Filtered-X LMS algorithm

Rui Seara, Orlando J. Tobias, Jose C. M. Bermudez, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

Second moment analysis of the filtered-X LMS algorithm

Rui Seara, José Carlos M. Bermudez, Neil J. Bershad, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Nonseparable data models for a single-layer perceptron

John J. Shynk, Neil J. Bershad, J. Shynk, 1992, Defense, Security, and Sensing.

A nonlinear analytical model for the quantized LMS algorithm-the power-of-two step size case

José Carlos M. Bermudez, Neil J. Bershad, J. Bermudez, 1996, IEEE Trans. Signal Process..

Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs

Jean-Yves Tourneret, José Carlos M. Bermudez, Neil J. Bershad, 2008, IEEE Transactions on Signal Processing.

Analysis of the frequency domain adaptive filter

N.J. Bershad, P.L. Feintuch, N. Bershad, 1979, Proceedings of the IEEE.

Analysis of LMS Algorithm Behavior with Subspace Inputs

Jean-Yves Tourneret, José Carlos M. Bermudez, Neil J. Bershad, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.