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

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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Iglesias Martínez, Miguel Enrique (Autor), García March, Miguel Ángel (Autor), Milián Enrique, Carles (Autor), Fernández de Córdoba, Pedro (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]
Colección:IOP (Series). Release 22.
IOP ebooks. 2022 collection.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Iglesias Martínez, Miguel Enrique,  |e author. 
245 1 0 |a Algorithms for noise reduction in signals :  |b theory and practical examples based on statistical and convolutional analysis /  |c Miguel Enrique Iglesias Martínez, Miguel Ángel García March, Carles Milián Enrique and Pedro Fernández de Córdoba. 
264 1 |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :  |b IOP Publishing,  |c [2022] 
300 |a 1 online resource (various pagings) :  |b illustrations. 
336 |a text  |2 rdacontent 
337 |a electronic  |2 isbdmedia 
338 |a online resource  |2 rdacarrier 
490 1 |a [IOP release $release] 
490 1 |a IOP ebooks. [2022 collection] 
500 |a "Version: 20221201"--Title page verso. 
504 |a Includes bibliographical references. 
505 0 |a 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 analysis 
505 8 |a 3. 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 chapter 
505 8 |a Appendix 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. 
520 3 |a 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.  
521 |a Engineers and scientists involved with nose reduction and signal processing. 
530 |a Also available in print. 
538 |a Mode of access: World Wide Web. 
538 |a System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. 
545 |a Miguel Enrique Iglesias Martínez: received a degree in Telecommunications and Electronics Engineering from the University of Pinar del Río (UPR) in 2008 and a Master's Degree in Digital Systems from the Technological University of Havana, Cuba, in 2011. 
588 0 |a Title from PDF title page (viewed on January 9, 2023). 
650 0 |a Signal processing  |x Digital techniques. 
650 0 |a Electronic noise. 
650 7 |a Signal processing.  |2 bicssc 
650 7 |a TECHNOLOGY & ENGINEERING / Signals & Signal Processing.  |2 bisacsh 
700 1 |a García March, Miguel Ángel,  |e author. 
700 1 |a Milián Enrique, Carles,  |e author. 
700 1 |a Fernández de Córdoba, Pedro,  |e author. 
710 2 |a Institute of Physics (Great Britain),  |e publisher. 
776 0 8 |i Print version:  |z 9780750335898  |z 9780750335928 
830 0 |a IOP (Series).  |p Release 22. 
830 0 |a IOP ebooks.  |p 2022 collection. 
856 4 0 |u https://iopscience.uam.elogim.com/book/mono/978-0-7503-3591-1  |z Texto completo