Nonlinear Digital Filtering with Python: An Introduction Contributor(s): Pearson, Ronald K. (Author), Gabbouj, Moncef (Author) |
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ISBN: 1498714110 ISBN-13: 9781498714112 Publisher: CRC Press OUR PRICE: $133.00 Product Type: Hardcover - Other Formats Published: September 2015 |
Additional Information |
BISAC Categories: - Medical | Biotechnology - Technology & Engineering | Electrical - Technology & Engineering | Mobile & Wireless Communications |
Dewey: 515.252 |
LCCN: 2015014942 |
Physical Information: 308 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book:
Nonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling. |