 | 2011 |
|---|
| 47 |       | Neil J. Bershad,
José Carlos M. Bermudez:
Mean-square stability of the Normalized Least-Mean Fourth algorithm for white Gaussian inputs.
Digital Signal Processing 21(6): 694-700 (2011) |
| 46 | | José Carlos M. Bermudez,
Neil J. Bershad,
Jean-Yves Tourneret:
Stochastic analysis of an error power ratio scheme applied to the affine combination of two LMS adaptive filters.
Signal Processing 91(11): 2615-2622 (2011) |
| 2009 |
|---|
| 45 | | Sérgio J. M. de Almeida,
José Carlos M. Bermudez,
Neil J. Bershad:
A Stochastic Model for a Pseudo Affine Projection Algorithm.
IEEE Transactions on Signal Processing 57(1): 107-118 (2009) |
| 44 | | Neil J. Bershad:
Comments on "A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis".
IEEE Transactions on Signal Processing 57(1): 388-389 (2009) |
| 43 | | Neil J. Bershad:
On error-saturation nonlinearities in NLMS adaptation.
IEEE Transactions on Signal Processing 57(10): 4105-4111 (2009) |
| 42 | | Jean-Yves Tourneret,
Neil J. Bershad,
José Carlos M. Bermudez:
Echo Cancellation - The Generalized Likelihood Ratio Test For Double-Talk Versus Channel Change.
IEEE Transactions on Signal Processing 57(3): 916-926 (2009) |
| 2008 |
|---|
| 41 | | Celso H. H. Ribas,
José Carlos M. Bermudez,
Neil J. Bershad:
Low-complexity robust sparse channel identification using partial block wavelet transforms-analysis and implementation.
ICASSP 2008: 3281-3284 |
| 40 | | Neil J. Bershad,
José Carlos M. Bermudez,
Jean-Yves Tourneret:
On performance bounds for an affine combination of two LMS adaptive filters.
ICASSP 2008: 3297-3300 |
| 39 | | Neil J. Bershad,
José Carlos M. Bermudez,
Jean-Yves Tourneret:
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs.
IEEE Transactions on Signal Processing 56(3): 1018-1027 (2008) |
| 38 | | Neil J. Bershad,
José Carlos M. Bermudez,
Jean-Yves Tourneret:
An Affine Combination of Two LMS Adaptive Filters - Transient Mean-Square Analysis.
IEEE Transactions on Signal Processing 56(5): 1853-1864 (2008) |
| 37 | | Neil J. Bershad:
On Error Saturation Nonlinearities for LMS Adaptation in Impulsive Noise.
IEEE Transactions on Signal Processing 56(9): 4526-4530 (2008) |
| 2005 |
|---|
| 36 | | Neil J. Bershad,
Anurag Bist:
Fast coupled adaptation for sparse impulse responses using a partial haar transform.
IEEE Transactions on Signal Processing 53(3): 966-976 (2005) |
| 2002 |
|---|
| 35 | | Márcio Holsbach Costa,
José Carlos M. Bermudez,
Neil J. Bershad:
Stochastic analysis of the filtered-X LMS algorithm in systems with nonlinear secondary paths.
IEEE Transactions on Signal Processing 50(6): 1327-1342 (2002) |
| 2001 |
|---|
| 34 | | Patrick Celka,
Neil J. Bershad,
Jean-Marc Vesin:
Stochastic gradient identification of polynomial Wiener systems: analysis and application.
IEEE Transactions on Signal Processing 49(2): 301-313 (2001) |
| 33 | | Neil J. Bershad,
Patrick Celka,
Steve McLaughlin:
Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with Hermite polynomial expansions.
IEEE Transactions on Signal Processing 49(5): 1060-1072 (2001) |
| 32 | | Márcio Holsbach Costa,
José Carlos M. Bermudez,
Neil J. Bershad:
Stochastic analysis of the LMS algorithm with a saturation nonlinearity following the adaptive filter output.
IEEE Transactions on Signal Processing 49(7): 1370-1387 (2001) |
| 31 | | B. S. Nollett,
Neil J. Bershad:
Errata to "stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for gaussian inputs".
IEEE Transactions on Signal Processing 49(9): 2162 (2001) |
| 2000 |
|---|
| 30 | | Neil J. Bershad,
Steven Bouchired,
Francis Castanie:
Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs.
IEEE Transactions on Signal Processing 48(2): 557-560 (2000) |
| 29 | | Orlando José Tobias,
José Carlos M. Bermudez,
Neil J. Bershad:
Mean weight behavior of the filtered-X LMS algorithm.
IEEE Transactions on Signal Processing 48(4): 1061-1075 (2000) |
| 28 | | Neil J. Bershad,
Patrick Celka,
Jean-Marc Vesin:
Analysis of stochastic gradient tracking of time-varying polynomial Wiener systems.
IEEE Transactions on Signal Processing 48(6): 1676-1686 (2000) |
| 27 | | Patrick Celka,
Neil J. Bershad,
Jean-Marc Vesin:
Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems.
IEEE Transactions on Signal Processing 48(6): 1820-1825 (2000) |
| 1999 |
|---|
| 26 | | Márcio Holsbach Costa,
José Carlos M. Bermudez,
Neil J. Bershad:
Statistical analysis of the FXLMS algorithm with a nonlinearity in the secondary-path.
ISCAS (3) 1999: 166-169 |
| 1998 |
|---|
| 25 | | Mohamed Ibnkahla,
Neil J. Bershad,
Jacques Sombrin,
Francis Castanie:
Neural network modeling and identification of nonlinear channels with memory: algorithms, applications, and analytic models.
IEEE Transactions on Signal Processing 46(5): 1208-1220 (1998) |
| 24 | | Neil J. Bershad,
José Carlos M. Bermudez:
Sinusoidal interference rejection analysis of an LMS adaptive feedforward controller with a noisy periodic reference.
IEEE Transactions on Signal Processing 46(5): 1298-1313 (1998) |
| 23 | | Mounir Ghogho,
Mohamed Ibnkahla,
Neil J. Bershad:
Analytic behavior of the LMS adaptive line enhancer for sinusoids corrupted by multiplicative and additive noise.
IEEE Transactions on Signal Processing 46(9): 2386-2393 (1998) |
| 1997 |
|---|
| 22 | | M. Ibukahla,
Jacques Sombrin,
Francis Castanie,
Neil J. Bershad:
Neural networks for modeling nonlinear memoryless communication channels.
IEEE Transactions on Communications 45(7): 768-771 (1997) |
| 21 | | Isaac Engel,
Neil J. Bershad:
Statistical convergence analysis of Rosenblatt's perceptron algorithm as a DS-spread spectrum detector.
IEEE Transactions on Signal Processing 45(11): 2843-2846 (1997) |
| 20 | | Neil J. Bershad,
Mohamed Ibnkahla,
Francis Castanie:
Statistical analysis of a two-layer backpropagation algorithm used for modeling nonlinear memoryless channels: the single neuron case.
IEEE Transactions on Signal Processing 45(3): 747-756 (1997) |
| 1996 |
|---|
| 19 | | Neil J. Bershad,
José Carlos M. Bermudez:
New insights on the transient and steady-state behavior of the quantized LMS algorithm.
IEEE Transactions on Signal Processing 44(10): 2623-2625 (1996) |
| 18 | | Neil J. Bershad,
José Carlos M. Bermudez:
A nonlinear analytical model for the quantized LMS algorithm-the power-of-two step size case.
IEEE Transactions on Signal Processing 44(11): 2895-2900 (1996) |
| 17 | | José Carlos M. Bermudez,
Neil J. Bershad:
A nonlinear analytical model for the quantized LMS algorithm-the arbitrary step size case.
IEEE Transactions on Signal Processing 44(5): 1175-1183 (1996) |
| 16 | | Neil J. Bershad,
Nicolas Cubaud,
John J. Shynk:
Stochastic convergence analysis of the single-layer backpropagation algorithm for noisy input data.
IEEE Transactions on Signal Processing 44(5): 1315-1319 (1996) |
| 15 | | José Carlos M. Bermudez,
Neil J. Bershad:
Transient and tracking performance analysis of the quantized LMS algorithm for time-varying system identification.
IEEE Transactions on Signal Processing 44(8): 1990-1997 (1996) |
| 1995 |
|---|
| 14 |  | Hiroshi Ochi,
Neil J. Bershad:
A New Frequency-Domain LMS Adaptive Filter with Reduced-Sized FFT's.
ISCAS 1995: 1608-1611 |
| 13 | | Neil J. Bershad,
Paul L. Feintuch:
Non-Wiener solutions for the LMS algorithm-a time domain approach.
IEEE Transactions on Signal Processing 43(5): 1273-1275 (1995) |
| 12 | | Suhas N. Diggavi,
John J. Shynk,
Neil J. Bershad:
Convergence models for Rosenblatt's perceptron learning algorithm.
IEEE Transactions on Signal Processing 43(7): 1696-1702 (1995) |
| 1994 |
|---|
| 11 | | Neil J. Bershad,
John J. Shynk:
Performance analysis of a converged single-layer perceptron for nonseparable data models with bias terms.
IEEE Transactions on Signal Processing 42(1): 175-188 (1994) |
| 10 | | Mamadou Mboup,
Madeleine Bonnet,
Neil J. Bershad:
LMS coupled adaptive prediction and system identification: a statistical model and transient mean analysis.
IEEE Transactions on Signal Processing 42(10): 2607-2615 (1994) |
| 9 | | Isaac Engel,
Neil J. Bershad:
A transient learning comparison of Rosenblatt, backpropagation, and LMS algorithms for a single-layer perceptron for system identification.
IEEE Transactions on Signal Processing 42(5): 1247-1251 (1994) |
| 1993 |
|---|
| 8 | | Neil J. Bershad,
John J. Shynk,
Paul L. Feintuch:
Statistical analysis of the single-layer backpropagation algorithm. I. mean weight behavior.
IEEE Transactions on Signal Processing 41(2): 573-582 (1993) |
| 7 | | Neil J. Bershad,
John J. Shynk,
Paul L. Feintuch:
Statistical analysis of the single-layer backpropagation algorithm. II. MSE and classification performance.
IEEE Transactions on Signal Processing 41(2): 581-591 (1993) |
| 6 | | Paul L. Feintuch,
Neil J. Bershad,
Allen K. Lo:
A frequency domain model for `filtered' LMS algorithms-stability analysis, design, and elimination of the training mode.
IEEE Transactions on Signal Processing 41(4): 1518-1531 (1993) |
| 5 | | John J. Shynk,
Neil J. Bershad:
Stationary points of a single-layer perceptron for nonseparable data models.
Neural Networks 6(2): 189-202 (1993) |
| 1991 |
|---|
| 4 | | Odile M. Machhi,
Neil J. Bershad:
Adaptive recovery of a chirped sinusoid in noise. I. Performance of the RLS algorithm.
IEEE Transactions on Signal Processing 39(3): 583-594 (1991) |
| 3 | | Neil J. Bershad,
Odile M. Macchi:
Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm.
IEEE Transactions on Signal Processing 39(3): 595-602 (1991) |
| 2 | | Yuh-Huu Chang,
Ching-Kae Tzou,
Neil J. Bershad:
Postsmoothing for the LMS algorithm and a fixed point roundoff error analysis.
IEEE Transactions on Signal Processing 39(4): 959-962 (1991) |
| 1969 |
|---|
| 1 | | Jack Sklansky,
Neil J. Bershad:
The Dynamics of Time-Varying Threshold Learning
Information and Control 15(6): 455-486 (1969) |
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