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Название: Algorithms for Noise Reduction in Signals: Theory and practical examples based on statistical and convolutional analysis
Автор: Miguel Enrique Iglesias Martınez, Miguel Angel Garcıa March, Carles Milian Enrique and Pedro Fernandez de Cordoba
Издательство: IOP Publishing
Год: 2022
Формат: PDF
Страниц: 110
Размер: 19,27 MB
Язык: 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.