2010, ISBN: 9783838379340

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], In this book, Mean Square Error (MSE) performance of the standard Least Mean Square (LMS), Normalized LMS (NLMS), Lea… Mehr…

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], In this book, Mean Square Error (MSE) performance of the standard Least Mean Square (LMS), Normalized LMS (NLMS), Leaky LMS, Modified Leaky LMS (MLLMS) and Frequency Response Shaped Least Mean Square (FRS-LMS) algorithms have been investigated in Additive White Gaussian Noise (AWGN) and correlated Gaussian noise environments. The FRS-LMS algorithm has been shown to have superior performance in terms of MSE or speed of convergence compared to the other algorithms. The performance of the FRS-LMS adaptive algorithm in estimating a sinusoidal signal in impulsive and correlated noise is further studied. The algorithm does not require a priori knowledge about the nominal Gaussian process and is able to adapt to changes in the environment. The performance of the FRS-LMS is compared to that of the Leaky-LMS algorithms in terms of MSE and convergence speed. The results indicate that the FRS-LMS provides superior performance in impulsive and correlated noise environments., DE, Neuware, gewerbliches Angebot, 84, Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung, Expédition internationale<

ISBN: 9783838379340

[ED: Taschenbuch], [PU: LAP Lambert Acad. Publ.], Neuware - In this book, Mean Square Error (MSE) performance of the standard Least Mean Square (LMS), Normalized LMS (NLMS), Leaky LMS, Mo… Mehr…

[ED: Taschenbuch], [PU: LAP Lambert Acad. Publ.], Neuware - In this book, Mean Square Error (MSE) performance of the standard Least Mean Square (LMS), Normalized LMS (NLMS), Leaky LMS, Modified Leaky LMS (MLLMS) and Frequency Response Shaped Least Mean Square (FRS-LMS) algorithms have been investigated in Additive White Gaussian Noise (AWGN) and correlated Gaussian noise environments. The FRS-LMS algorithm has been shown to have superior performance in terms of MSE or speed of convergence compared to the other algorithms. The performance of the FRS-LMS adaptive algorithm in estimating a sinusoidal signal in impulsive and correlated noise is further studied. The algorithm does not require a priori knowledge about the nominal Gaussian process and is able to adapt to changes in the environment. The performance of the FRS-LMS is compared to that of the Leaky-LMS algorithms in terms of MSE and convergence speed. The results indicate that the FRS-LMS provides superior performance in impulsive and correlated noise environments., DE, [SC: 23.00], Neuware, gewerbliches Angebot, 220x150x5 mm, 84, [GW: 142g], PayPal, Offene Rechnung, Banküberweisung, Sofortüberweisung, Expédition internationale<

2010, ISBN: 9783838379340

Erscheinungsdatum: 07/2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Adaptive Filters, Titelzusatz: Analyses and Applications, Autor: Salman, Mohammad // Kukrer, Osma… Mehr…

Erscheinungsdatum: 07/2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Adaptive Filters, Titelzusatz: Analyses and Applications, Autor: Salman, Mohammad // Kukrer, Osman // Hocanin, Aykut, Verlag: LAP Lambert Acad. Publ., Sprache: Englisch, Rubrik: Elektronik // Elektrotechnik, Nachrichtentechnik, Seiten: 84, Informationen: Paperback, Gewicht: 142 gr, Verkäufer: averdo Belletristik<

2010, ISBN: 3838379349

Kartoniert / Broschiert, met couverture 11, [PU:LAP LAMBERT Academic Publishing]