Algorithms for noise reduction in signals : theory and practical examples based on statistical and convolutional analysis /: theory and practical examples based on statistical and convolutional analysis. ([2022])

• Record Type: Book
• Further Information: Note: Miguel Enrique Iglesias Martínez, Miguel Ángel García March, Carles Milián Enrique and Pedro Fernández de Córdoba.
• Authors: Iglesias Martínez, Miguel Enrique; García March, Miguel Ángel; Milián Enrique, Carles; Fernández de Córdoba, Pedro
• Other Names: Institute of Physics (Great Britain), publisher.
• Contents: 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.
• Publisher Details: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing
• Publication Date: 2022
• Extent: 1 online resource (1 PDF (various pagings) :), illustrations
• Subjects: 621.382/2; Signal processing -- Digital techniques; Electronic noise; Signal processing; TECHNOLOGY & ENGINEERING / Signals & Signal Processing
• Languages: English
• ISBNs: 9780750335911; 0750335912; 9780750335904; 0750335904
• Related ISBNs: 9780750335898; 9780750335928
• Notes: Note: Includes bibliographical references.; Note: Title from PDF title page (viewed on January 9, 2023).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.