High-Resolution Noisy Signal and Image Processing
Contributors: Sun, Mingzeng; Loneck, Barry
Publisher: Cambridge Scholars Publisher
Published: 2021
Place of publication: Newcastle-upon-Tyne
Language: eng
Number of pages: 376
ISBN-13: 9781527564169
Subjects: Signal processing; Traitement du signal
Description: The book introduces valuable new data analysis methods in time and space, and provides many examples and recommendations for new developments. It will teach the reader how to use powerful, but very flexible, tools, frequently referred to as Kolmogorov-Zurbenko Filters. The main construction of these tools is derived from spectral concepts where natural laws occur. Rather than forcing models on data, they allow us to discover the nature of phenomena hidden within the data. The methods outlined here are capable of obtaining accurate results within very noisy environments. Their extremely accurat.
Notes: Description based upon print version of record.