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Algorithms for Noise Reduction in Signals Theory and practical examples based on statistical and convolutional analysis - Miguel Enrique Iglesias Mart?nez, Miguel Angel Garc?a March, Carles Milian Enrique and Pedro Fernandez de Cordoba 2022 PDF IOP Publishing BOOKS TECHNICAL SCIENCES
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Algorithms for Noise Reduction in Signals Theory and practical examples based on statistical and convolutional analysis
Author: Miguel Enrique Iglesias Mart?nez, Miguel Angel Garc?a March, Carles Milian Enrique and Pedro Fernandez de Cordoba
Year: 2022
Number of pages: 110
Format: PDF
File size: 19,27 MB
Language: ENG

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.

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