Nonlinear Digital Filtering with Python (Record no. 6139)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02177 a2200325 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1498714137 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317111625.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042018xx 39 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781498714136 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 52.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TJKW |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MQW |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | THR |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TJKW |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MQW |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | THR |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MED009000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC007000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC061000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 515.252 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ronald K. Pearson |
| 245 10 - TITLE STATEMENT | |
| Title | Nonlinear Digital Filtering with Python |
| Remainder of title | An Introduction |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 20180903 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 300 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | 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: Begins with an expedient introduction to programming in the free, open-source computing environment of Python Uses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes Analyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategies Proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these components Illustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontier 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. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Moncef Gabbouj |
| Relationship | A01 |
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