Improved LMS Algorithm for Adaptive Noise Cancellation - Kalamani, M.; Krishnamoorthi, M.
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This book presents the Hardware Co-simulation of LMS algorithms for Adaptive Noise Cancellation. Speech Signal mostly corrupted by the background noise during acquisition process. Recently, the efficient noise reduction algorithms is required to enhance this corrupted speech signal for further process. Speech signal has the is non-stationary characteristics and its is more additive with background noise. Optimum filters failed in this non-stationary noisy environments. LMS Adaptive filters more frequently used in this noisy environments to enhance the Speech signal quality.

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Produktbeschreibung
This book presents the Hardware Co-simulation of LMS algorithms for Adaptive Noise Cancellation. Speech Signal mostly corrupted by the background noise during acquisition process. Recently, the efficient noise reduction algorithms is required to enhance this corrupted speech signal for further process. Speech signal has the is non-stationary characteristics and its is more additive with background noise. Optimum filters failed in this non-stationary noisy environments. LMS Adaptive filters more frequently used in this noisy environments to enhance the Speech signal quality.
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Autorenporträt
Dr. M.Kalamani, Associate Professor, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam.Dr. M.Krishnamoorthi, Associate Professor, Department of CSE, Dr.N.G.P Institute of Technology, Coimbatore.