Algorithms for Noise Reduction in Signals

Theory and practical examples based on statistical and convolutional analysis

By (author) Miguel Enrique Miguel Enrique Iglesias Martínez, Pedro Fernández de Córdoba, Miguel Ángel García March, Carles Milián Enrique

Publication date:

23 December 2022

Length of book:

110 pages

Publisher

Institute Of Physics Publishing

Dimensions:

254x178mm
7x10"

ISBN-13: 9780750335898

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