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|a Classification, parameter estimation, and state estimation :
|b an engineering approach using MATLAB /
|c F. van der Heijden [and others].
|
260 |
|
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|a Chichester, West Sussex, Eng. ;
|a Hoboken, NJ :
|b Wiley,
|c ©2004.
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300 |
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|a 1 online resource (xvi, 423 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
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|a Includes bibliographical references and index.
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|a Detection and classification -- Parameter estimation -- State estimation -- Supervised learning -- Feature extraction and selection -- Unsupervised learning -- State estimation in practice -- Worked out examples -- Topics selected form functional analysis -- Topics selected from linear algebra and matrix theory -- Probabillity theory -- Discrete-time dynamic systems -- Introduction to PRTools -- MATLAB toolboxes used.
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506 |
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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533 |
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
|
538 |
|
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
|u http://purl.oclc.org/DLF/benchrepro0212
|5 MiAaHDL
|
583 |
1 |
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|a digitized
|c 2010
|h HathiTrust Digital Library
|l committed to preserve
|2 pda
|5 MiAaHDL
|
520 |
|
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|a Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MatLab. 'Prtools' is a powerful MatLab toolbox for pattern recognition and is written and owned by one of the co-authors, B.
|
542 |
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|f Copyright © John Wiley & Sons
|g 2004
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546 |
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|a English.
|
590 |
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
630 |
0 |
0 |
|a MATLAB.
|
630 |
0 |
7 |
|a MATLAB.
|2 blmlsh
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630 |
0 |
7 |
|a MATLAB
|2 fast
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650 |
|
0 |
|a Engineering mathematics
|x Data processing.
|
650 |
|
0 |
|a Measurement
|x Data processing.
|
650 |
|
0 |
|a Estimation theory
|x Data processing.
|
650 |
|
6 |
|a Mathématiques de l'ingénieur
|x Informatique.
|
650 |
|
6 |
|a Mesure
|x Informatique.
|
650 |
|
6 |
|a Théorie de l'estimation
|x Informatique.
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Sensors.
|2 bisacsh
|
650 |
|
7 |
|a Ingénierie.
|2 eclas
|
650 |
|
7 |
|a Mathématiques.
|2 eclas
|
650 |
|
7 |
|a Mesure.
|2 eclas
|
650 |
|
7 |
|a Traitement électronique des données.
|2 eclas
|
650 |
|
7 |
|a Engineering mathematics
|x Data processing
|2 fast
|
650 |
|
7 |
|a Estimation theory
|x Data processing
|2 fast
|
650 |
|
7 |
|a Measurement
|x Data processing
|2 fast
|
650 |
|
7 |
|a Funktionale Datenanalyse
|2 gnd
|
650 |
|
7 |
|a Maschinelles Lernen
|2 gnd
|
650 |
|
7 |
|a MATLAB
|2 gnd
|
653 |
|
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|a Communications Technology.
|
700 |
1 |
|
|a Heijden, Ferdinand van der.
|
776 |
0 |
8 |
|i Print version:
|t Classification, parameter estimation, and state estimation.
|d Chichester, West Sussex, Eng. ; Hoboken, NJ : Wiley, ©2004
|z 0470090138
|w (DLC) 2004011561
|w (OCoLC)55600743
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856 |
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|z Texto completo (Requiere registro previo con correo institucional)
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