System identification quantized observations von wang yin (19 Ergebnisse)

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Zustand: New. pp. 336.

Paperback. Zustand: Brand New. 95 pages. 9.25x6.25x0.25 inches. In Stock.

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Zustand: New. pp. 336 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

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Zustand: New. Written for a broad audience of graduate students, researchers, and practitioners alike, this volume offers dedicated coverage of quantized information in system identification. Applications to signal processing, computer networks, mobile agents, telemedicine, and data fusion are included. Series: Systems & Control: Foundations and Applications. Num Pages: 335 pages, 42 black & white illustrations, 3 black & white tables, biography. BIC Classification: GPFC; TBM; TJFM; TJK. Category: (P) Professional & Vocational. Dimension: 242 x 166 x 26. Weight in Grams: 624. . 2010. Hardback. . . . .…

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | ¿This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.  By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.…

Hardback. Zustand: New. This book concerns the identi?cation of systems in which only quantized output observations are available, due to sensor limitations, signal quan- zation, or coding for communications. Although there are many excellent treaties in system identi?cation and its related subject areas, a syst- atic study of identi?cation with quantized data is still in its early stage. This book presents new methodologies that utilize quantized information in system identi?cation and explores their potential in extending control capabilities for systems with limited sensor information or networked s- tems. The book is an outgrowth of our recent research on quantized iden- ?cation; it o?ers several salient features. From the viewpoint of targeted plants, it treats both linear and nonlinear systems, and both time-invariant and time-varying systems. In terms of noise types, it includes independent and dependent noises, stochastic disturbances and deterministic bounded noises, and noises with unknown distribution functions. The key meth- ologies of the book combine empirical measures and information-theoretic approaches to cover convergence, convergence rate, estimator e?ciency, - put design, threshold selection, and complexity analysis. We hope that it can shed new insights and perspectives for system identi?cation.…

Zustand: As New. Unread book in perfect condition.

Zustand: New. Written for a broad audience of graduate students, researchers, and practitioners alike, this volume offers dedicated coverage of quantized information in system identification. Applications to signal processing, computer networks, mobile agents, telemedicine, and data fusion are included. Series: Systems & Control: Foundations and Applications. Num Pages: 335 pages, 42 black & white illustrations, 3 black & white tables, biography. BIC Classification: GPFC; TBM; TJFM; TJK. Category: (P) Professional & Vocational. Dimension: 242 x 166 x 26. Weight in Grams: 624. . 2010. Hardback. . . . . Books ship from the US and Ireland.…

Hardback. Zustand: New. This book concerns the identi?cation of systems in which only quantized output observations are available, due to sensor limitations, signal quan- zation, or coding for communications. Although there are many excellent treaties in system identi?cation and its related subject areas, a syst- atic study of identi?cation with quantized data is still in its early stage. This book presents new methodologies that utilize quantized information in system identi?cation and explores their potential in extending control capabilities for systems with limited sensor information or networked s- tems. The book is an outgrowth of our recent research on quantized iden- ?cation; it o?ers several salient features. From the viewpoint of targeted plants, it treats both linear and nonlinear systems, and both time-invariant and time-varying systems. In terms of noise types, it includes independent and dependent noises, stochastic disturbances and deterministic bounded noises, and noises with unknown distribution functions. The key meth- ologies of the book combine empirical measures and information-theoretic approaches to cover convergence, convergence rate, estimator e?ciency, - put design, threshold selection, and complexity analysis. We hope that it can shed new insights and perspectives for system identi?cation.…

Zustand: New. Print on Demand pp. 108 17 Illus. (16 Col.).

Zustand: New. PRINT ON DEMAND pp. 108.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regularFirst book devoted to large deviations to system identificationApplication orientedPresents.…

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First monograph dedicated to quantized identification in systemsApplications to communication and computer networks, signal processing, sensor networks, mobile agents, data fusion, remote sensing, telemedicineSelected material from the book.…

Zustand: New. PRINT ON DEMAND pp. 336.