Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Algorithms for Noise Reduction in Signals: Theory and practical examples based on statistical and convolutional analysis

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

Iglesias Martínez, Miguel Enrique
Fernández de Córdoba, Pedro
García March, Miguel Ángel

Hardcover

Series: Iop eBooks

Technology & Engineering

ISBN10: 0750335890
ISBN13: 9780750335898
Publisher: Institute of Physics Publishing
Published: Dec 23 2022
Pages: 165
Weight: 0.91
Height: 0.31 Width: 7.00 Depth: 10.00
Language: English

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.

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