UID:
almahu_9949434975302882
Format:
1 online resource (various pagings) :
,
illustrations.
ISBN:
9780750335911
,
9780750335904
Series Statement:
IOP ebooks. [2023 collection]
Content:
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.
Note:
"Version: 20221201"--Title page verso.
,
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
,
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
,
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.
,
Also available in print.
,
Mode of access: World Wide Web.
,
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Additional Edition:
Print version: ISBN 9780750335898
Additional Edition:
ISBN 9780750335928
Language:
English
DOI:
10.1088/978-0-7503-3591-1
URL:
https://iopscience.iop.org/book/mono/978-0-7503-3591-1
