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Identification of Time-varying Processes
Maciej Niedzwiecki
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Description for Identification of Time-varying Processes
Hardback. Time varying process identification (TVPI) techniques facilitate adaptive noise reduction, echo cancellation and predictive coding of signals. This treatment addresses the identification of time-varying characteristics of dynamic processes. Num Pages: 340 pages, Illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 252 x 176 x 26. Weight in Grams: 746.
Identification of Time-Varying Processes offers a comprehensive treatment of the key issue in adaptive systems: tracking of time-varying system parameters. Time-varying identification techniques facilitate many challenging applications in different areas including telecommunications (channel equalization, predictive coding of signals, adaptive noise reduction and echo cancellation) and automatic control (adaptive control and failure detection). The processes also assist signal processing in areas such as adaptive noise reduction, prediction of time series, restoration of archive audio recordings and spectrum estimation. Includes:
* All three major approaches to time-varying identification: local estimation, the basis functions approach and the method based on Kalman filtering/smoothing.
... Read more
Identification of Time-Varying Processes offers a comprehensive treatment of the key issue in adaptive systems: tracking of time-varying system parameters. Time-varying identification techniques facilitate many challenging applications in different areas including telecommunications (channel equalization, predictive coding of signals, adaptive noise reduction and echo cancellation) and automatic control (adaptive control and failure detection). The processes also assist signal processing in areas such as adaptive noise reduction, prediction of time series, restoration of archive audio recordings and spectrum estimation. Includes:
* All three major approaches to time-varying identification: local estimation, the basis functions approach and the method based on Kalman filtering/smoothing.
... Read more
Product Details
Format
Hardback
Publication date
2000
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
340
Condition
New
Number of Pages
344
Place of Publication
New York, United States
ISBN
9780471986294
SKU
V9780471986294
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Maciej Niedzwiecki
Maciej Niedzwiecki was born in Poznan, Poland in 1953. He received the M.Sc. and Ph.D. degrees from the Gdansk University of Technology, Gdansk, Poland, and the Dr.Hab. - D.Sc. - degree from the Technical University of Warsaw, Warsaw, Poland, in 1977, 1981 and 1991, respectively.
Reviews for Identification of Time-varying Processes
"...a comprehensive treatment...well-written and successful in combining mathematics and practical understanding of real world applications..." (Automatica, No.38, 2002)