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Book Synopsis

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.


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Algorithms for Noise Reduction in Signals

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    A Hardback by Carles ) Milian Enrique, Pedro Fernández de Córdoba, Miguel Ángel García March

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      Publisher: Institute of Physics Publishing
      Publication Date: Publication Date: 12/23/2022 12:00:00 AM
      ISBN13: 9780750335898, 978-0750335898
      ISBN10: 0750335890

      Description

      Book Synopsis

      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:


      • Emphas

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