Algorithms for noise reduction in signals :theory and practical examples based on statistical and convolutional analysis /

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Algorithms for noise reduction in signals :theory and practical examples based on statistical and convolutional analysis /

Iglesias Mart?inez, Miguel Enrique, - Personal Name; Institute of Physics (Great Britain), - Personal Name; Garc?ia March, Miguel ?Angel, - Personal Name; Mili?an Enrique, Carles, - Personal Name; Fern?andez de C?ordoba, Pedro, - Personal Name;

"Version: 20221201"--Title page verso.Includes bibliographical references.1. Introduction -- 2. Current trends in signal processing techniques applied to noise reduction -- 2.1. Signals and noise -- 2.2. Current trends in signal processing techniques applied to noise reduction -- 2.3. Introduction to higher-order statistical analysis3. Noise reduction in periodic signals based on statistical analysis -- 3.1. Basic approach to noise reduction using higher-order noise reduction statistics -- 3.2. Amplitude correction in the spectral domain -- 3.3. Experimental results applying the phase recovery algorithm -- 3.4. Computational cost analysis of the proposed method compared with others -- 3.5. SNR levels processed by the proposed algorithm compared with others developed for noise reduction and phase retrieval -- 3.6. Comparative analysis according to other noise reduction methods not based on HOSA -- 3.7. Application to noise reduction in real signals -- 3.8. Conclusions of the chapterAppendix A. Properties of cumulants -- Appendix B. Moments, cumulants, and higher-order spectra -- Appendix C. Calculation of the one-dimensional component of the fourth-order cumulative of a harmonic signal -- Appendix D. Calculation of the autocorrelation function of a harmonic signal -- Appendix E. Examples of codes.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.Engineers and scientists involved with nose reduction and signal processing.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Miguel Enrique Iglesias Mart?inez: received a degree in Telecommunications and Electronics Engineering from the University of Pinar del R?io (UPR) in 2008 and a Master's Degree in Digital Systems from the Technological University of Havana, Cuba, in 2011.Title from PDF title page (viewed on January 9, 2023).

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Series Title: -
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Publisher: : .,
Collation: 1 online resource (various pagings) :illustrations.
Language: English
ISBN/ISSN: 9780750335911
Classification: 621.382/2
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Subject(s): Signal processing.
Signal processing
Electronic noise.
TECHNOLOGY & ENGINEERING / Signals & Signal Proces
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Statement of Responsibility: Miguel Enrique Iglesias Mart?inez, Miguel ?Angel Garc?ia March, Carles Mili?an Enrique and Pedro Fern?andez de C?ordoba.

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