10% OFF

Algorithms For Noise Reduction In Signals eBook

Theory And Practical Examples Based On Statistical And Convolutional Analysis

by Miguel Angel Garcia March, Pedro Fernández De Córdoba e Miguel Enrique Iglesias Martínez
language: english
Publisher: INSTITUTE OF PHYSICS PUBLISHING, December of 2022 ‧
152,70€
10% OFF CARD
IMMEDIATE AVAILABILITY
Ebook for WOOK READER

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

Algorithms For Noise Reduction In Signals

Theory And Practical Examples Based On Statistical And Convolutional Analysis

by Miguel Angel Garcia March, Pedro Fernández De Córdoba e Miguel Enrique Iglesias Martínez

Property Description
ISBN: 9780750335911
Publisher: INSTITUTE OF PHYSICS PUBLISHING
Release Date: December of 2022
Language: English
Pages: 165
Format: eBook
File Format and Compatibility:
Collection: Iop Ebooks
Categories: eBooks in English > Engineering > General Engineering
EAN: 9780750335911
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

BOOKS FROM THE SAME COLLECTION