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Autor:
Eweda Eweda, N.J. Bershad
Publikováno v:
IEEE Transactions on Signal Processing. 60:6235-6244
The least mean fourth (LMF) algorithm has several stability problems. Its stability depends on the variance and distribution type of the adaptive filter input, the noise variance, and the initialization of the filter weights. A global solution to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc8d7c85f4c9cea5b13482c5e3741cf9
https://doi.org/10.1109/tsp.2012.2215607
https://doi.org/10.1109/tsp.2012.2215607
Autor:
N.J. Bershad
Publikováno v:
IEEE Transactions on Signal Processing. 57:4105-4111
The effect of a saturation-type error nonlinearity in the weight update equation in normalized least mean-square (NLMS) adaptation is investigated for system identification for a white Gaussian data model. Nonlinear recursions are derived for the wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b339c47dd0b40ae7118f274754aa2a
https://doi.org/10.1109/tsp.2009.2021917
https://doi.org/10.1109/tsp.2009.2021917
Publikováno v:
IEEE Transactions on Signal Processing. 57:107-118
This paper presents a statistical analysis of a Pseudo Affine Projection (PAP) algorithm, obtained from the Affine Projection algorithm (AP) for a step size alpha < 1 and a scalar error signal in the weight update. Deterministic recursive equations a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6868a3df919b9cab1c676c28dc1f28c
https://doi.org/10.1109/tsp.2008.2007109
https://doi.org/10.1109/tsp.2008.2007109
Autor:
N.J. Bershad
Publikováno v:
IEEE Transactions on Signal Processing. 56:4526-4530
This correspondence extends the analytic results in [N. J. Bershad, ldquoOn error nonlinearities in LMS adaptation,rdquo IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-36, no. 4, pp. 440-452, April 1988] to least mean-square
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::145521881580653e06abc52f54e13160
https://doi.org/10.1109/tsp.2008.926103
https://doi.org/10.1109/tsp.2008.926103
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 52:1394-1405
This paper presents a new statistical analysis of the affine projection (AP) algorithm. An analytical model is derived for autoregressive (AR) inputs for unity step size (fastest convergence). Deterministic recursive equations are derived for the mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c04fd1a532a870b3783f1cecf6f9e07
https://doi.org/10.1109/tcsi.2005.851720
https://doi.org/10.1109/tcsi.2005.851720
Autor:
N.J. Bershad, A. Bist
Publikováno v:
IEEE Transactions on Signal Processing. 53:966-976
This work presents a novel scheme for identifying the impulse response of a sparse channel. The scheme consists of two adaptive filters operating sequentially. The first adaptive filter adapts using a partial Haar transform of the input and yields an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1f2841287c1f0657c2c99ad6f28658
https://doi.org/10.1109/tsp.2004.842168
https://doi.org/10.1109/tsp.2004.842168
Publikováno v:
IEEE Transactions on Signal Processing. 50:1327-1342
This paper presents a statistical analysis of the filtered-X LMS algorithm behavior when the secondary path (output of the adaptive filter) includes a nonlinear element. This system is of special interest for active acoustic noise and vibration contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bdfa9d3fb8675ef2db18fd8eb74870c
https://doi.org/10.1109/tsp.2002.1003058
https://doi.org/10.1109/tsp.2002.1003058