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Algorithms for Noise Reduction in Signals : Theory and practical examples based on statistical and convolutional analysis (IOP ebooks)

By: Carles ) Milian Enrique (Author) , Miguel Angel ) Garcia March (Author) , Miguel Enrique ) Iglesias Martinez (Author) , Pedro ) Fernandez de Cordoba (Author)

Extended Catalogue

Ksh 30,400.00

Format: Hardback or Cased Book

ISBN-10: 0750335890

ISBN-13: 9780750335898

Collection / Series: IOP ebooks

Collection Type: Publisher collection

Publisher: Institute of Physics Publishing

Imprint: Institute of Physics Publishing

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 23rd, 2022

Publication Status: Active

Product extent: 110 Pages

Dimensions (height x width x thickness): 25.40 x 17.80 x 1.10 cms

Product Classification / Subject(s): Signal processing

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  • Description

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This book is the result of an exhaustive review of the general algorithms used for noise reduction using two general application criteria: one-input, one-output systems, and two-input, one-output systems. The text describes theoretically and experimentally the processes related to high-order statistical analysis algorithms, as well as its practical combination with the convolutional analysis. On the other hand, the results of applications in real telecommunications signals, sensing of variables and biosignals such as human tremor are also shown. The reader will benefit from both the theoretical foundations described in the book, and the practical examples including generic codes of all the functions described and modifiable for use in different applications.


This book is an ideal text for engineers, graduate students and scientists involved with noise reduction and signal processing.


Key Features:


  • Emphasis on noise reduction techniques


  • Accompanying codes


  • Interactive elements


  • Practical approach



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