Optimal and Adaptive Signal Processing: Electronic Engineering Systems
Autor Peter M. Clarksonen Limba Engleză Paperback – 2 dec 2019
Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.
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Specificații
ISBN-13: 9780367450076
ISBN-10: 0367450070
Pagini: 560
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Routledge
Seria Electronic Engineering Systems
ISBN-10: 0367450070
Pagini: 560
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Routledge
Seria Electronic Engineering Systems
Public țintă
Academic and Professional Practice & DevelopmentCuprins
Introduction. Random Signal Analysis. Optimal Signal Processing. Introduction to Adaptive Signal Processing. Applications of Adaptive Filtering. Adaptive Signal Processing: Algorithms and Structures. Methods of Spectral Estimation. Index.
Descriere
Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics and focuses on one-dimensional and array processing results, as well as a wide range of adaptive filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing.
Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.
Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.