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Identification of Time-Varying Processes by Maciej Niedzwiecki (2000, Hardcover)
Better World Books (2779395)
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- Buy It NowIdentification of Time-Varying Processes Hardcover Maciej Niedzwi
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471986291
ISBN-139780471986294
eBay Product ID (ePID)1725026
Product Key Features
Number of Pages344 Pages
Publication NameIdentification of Time-Varying Processes
LanguageEnglish
Publication Year2000
SubjectWaves & Wave Mechanics, Signals & Signal Processing, Probability & Statistics / Time Series
TypeTextbook
Subject AreaMathematics, Technology & Engineering, Science
AuthorMaciej Niedzwiecki
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight26.1 Oz
Item Length9.5 in
Item Width6.9 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN00-033019
Reviews"...a comprehensive treatment...well-written and successful in combining mathematics and practical understanding of real world applications..." (Automatica, No.38, 2002)
Dewey Edition21
IllustratedYes
Dewey Decimal621.382/2
Table Of ContentModeling Essentials. Models of Nonstationary Processes. Process Segmentation. Weighted Least Squares. Least Mean Squares. Basis Functions. Kalman Filtering. Practical Issues. Epilogue. References. Index.
SynopsisTime-varying process identification (TVPI) is the latest chapter in the evolution of adaptive signal processing. In mobile communications systems, TVPI techniques facilitate adaptive noise reduction, echo cancellation, and predictive coding of signals. It also has applications in adaptive control., Essential reading for adaptive signal processing engineers, researchers, lecturers and senior electrical engineering and computer science students in telecommunications and signal processing., 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. ∗ Analysis and comparison of tracking capabilities of different time-varying identification schemes. ∗ Discussion of all aspects of time-varying identification such as assessment of the estimation memory, estimation bandwidth and numerical stability of different identification algorithms and optimization of adaptive filters. ∗ Presentation of selected practical applications of time-varying process identification. Essential reading for adaptive signal processing engineers, researchers, lecturers and senior electrical engineering and computer science students in telecommunications and signal processing., 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. * Analysis and comparison of tracking capabilities of different time-varying identification schemes. * Discussion of all aspects of time-varying identification such as assessment of the estimation memory, estimation bandwidth and numerical stability of different identification algorithms and optimization of adaptive filters. * Presentation of selected practical applications of time-varying process identification. Essential reading for adaptive signal processing engineers, researchers, lecturers and senior electrical engineering and computer science students in telecommunications and signal processing., Techniken zur Identifizierung zeitabh ngiger Prozesse (TVPI) ben tigt man beispielsweise zur adaptiven Rauschminderung, Echol schung und adaptiven Steuerung. Dieser Band besch ftigt sich erstmals mit der Identifizierung zeitabh ngiger Merkmale dynamischer Prozesse. Fallstudien zur Wiederherstellung alter Grammophonaufnahmen und zur Programmierung von Autopiloten f r Schiffe runden den Text ab. (05/00)
LC Classification NumberTK5102.9.N52 2000
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