Algorithms for Noise Reduction in Signals

Theory and practical examples based on statistical and convolutional analysis

By: Miguel Enrique Iglesias MartÃnez, Pedro FernÃ¡ndez de CÃ³rdoba, Miguel Ã�ngel GarcÃa March

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Hardcover | 23 December 2022

At a Glance

Hardcover
110 Pages

Dimensions(cm)
25.4 x 17.78 x 0.79

Hardcover

$253.60

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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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