"Intuitive understanding of Kalman filtering with MATLAB" / (Record no. 15371)

MARC details
000 -LEADER
fixed length control field 09799cam a2200673Ki 4500
001 - CONTROL NUMBER
control field 9780429200656
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220724194237.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200704s2021 flu ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429577567
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429577567
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429575457
Qualifying information (ePub ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429575459
Qualifying information (ePub ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429573347
Qualifying information (Mobipocket ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429573340
Qualifying information (Mobipocket ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429200656
Qualifying information (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 042920065X
Qualifying information (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367191351
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0367191350
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367191337
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0367191334
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9780429200656
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1162374369
Canceled/invalid control number (OCoLC)1163549317
-- (OCoLC)1164384005
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1162374369
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA402.3
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 000000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 012040
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UDB
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.8312
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Barreto, Armando,
Dates associated with a name 1963-
Relator term author.
245 10 - TITLE STATEMENT
Title "Intuitive understanding of Kalman filtering with MATLAB" /
Statement of responsibility, etc. Armando Barreto, Electrical & Computer Engineering Department, Florida International University, Malek Adjouadi, Electrical & Computer Engineering Department, Florida International University, Francisco R. Ortega, Department of Computer Science, Colorado State University, Nonnarit O-larnnithipong, Electrical & Computer Engineering Department, Florida International University.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton, FL :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource :
Other physical details illustrations
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Acknowledgments -- Authors -- Introduction -- Part I Background -- Chapter 1 System Models and Random Variables -- 1.1 DETERMINISTIC AND RANDOM MODELS AND VARIABLES -- 1.2 HISTOGRAMS AND PROBABILITY FUNCTIONS -- 1.3 THE GAUSSIAN (NORMAL) DISTRIBUTION -- 1.4 MODIFICATION OF A SIGNAL WITH GAUSSIAN DISTRIBUTION THROUGH A FUNCTION REPRESENTED BY A STRAIGHT LINE -- 1.5 EFFECTS OF MULTIPLYING TWO GAUSSIAN DISTRIBUTIONS -- Chapter 2 Multiple Random Sequences Considered Jointly -- 2.1 JOINT DISTRIBUTIONS-BIVARIATE CASE
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.2 BIVARIATE GAUSSIAN DISTRIBUTION-COVARIANCE AND CORRELATION -- 2.3 COVARIANCE MATRIX -- 2.4 PROCESSING A MULTIDIMENSIONAL GAUSSIAN DISTRIBUTION THROUGH A LINEAR TRANSFORMATION -- 2.5 MULTIPLYING TWO MULTIVARIATE GAUSSIAN DISTRIBUTIONS -- Chapter 3 Conditional Probability, Bayes' Rule and Bayesian Estimation -- 3.1 CONDITIONAL PROBABILITY AND THE BAYES' RULE -- 3.2 BAYES' RULE FOR DISTRIBUTIONS -- Part II Where Does Kalman Filtering Apply and What Does It Intend to Do? -- Chapter 4 A Simple Scenario Where Kalman Filtering May Be Applied
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.1 A SIMPLE MODELING SCENARIO: DC MOTOR CONNECTED TO A CAR BATTERY -- 4.2 POSSIBILITY TO ESTIMATE THE STATE VARIABLE BY PREDICTION FROM THE MODEL -- 4.2.1 Internal Model Uncertainty -- 4.2.2 External Uncertainty Impacting the System -- 4.3 POSSIBILITY TO ESTIMATE THE STATE VARIABLE BY MEASUREMENT OF EXPERIMENTAL VARIABLES -- 4.3.1 Uncertainty in the Values Read of the Measured Variable -- Chapter 5 General Scenario Addressed by Kalman Filtering and Specific Cases -- 5.1 ANALYTICAL REPRESENTATION OF A GENERIC KALMAN FILTERING SITUATION
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5.2 UNIVARIATE ELECTRICAL CIRCUIT EXAMPLE IN THE GENERIC FRAMEWORK -- 5.3 AN INTUITIVE, MULTIVARIATE SCENARIO WITH ACTUAL DYNAMICS: THE FALLING WAD OF PAPER -- Chapter 6 Arriving at the Kalman Filter Algorithm -- 6.1 GOALS AND ENVIRONMENT FOR EACH ITERATION OF THE KALMAN FILTERING ALGORITHM -- 6.2 THE PREDICTION PHASE -- 6.3 MEASUREMENTS PROVIDE A SECOND SOURCE OF KNOWLEDGE FOR STATE ESTIMATION -- 6.4 ENRICHING THE ESTIMATE THROUGH BAYESIAN ESTIMATION IN THE "CORRECTION PHASE" -- Chapter 7 Reflecting on the Meaning and Evolution of the Entities in the Kalman Filter Algorithm
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7.1 SO, WHAT IS THE KALMAN FILTER EXPECTED TO ACHIEVE? -- 7.2 EACH ITERATION OF THE KALMAN FILTER SPANS "TWO TIMES" AND "TWO SPACES" -- 7.3 YET, IN PRACTICE ALL THE COMPUTATIONS ARE PERFORMED IN A SINGLE, "CURRENT" ITERATION-CLARIFICATION -- 7.4 MODEL OR MEASUREMENT? KG DECIDES WHO WE SHOULD TRUST -- Part III Examples in MATLAB® -- Chapter 8 MATLAB® Function to Implement and Exemplify the Kalman Filter -- 8.1 DATA AND COMPUTATIONS NEEDED FOR THE IMPLEMENTATION OF ONE ITERATION OF THE KALMAN FILTER -- 8.2 A BLOCK DIAGRAM AND A MATLAB® FUNCTION FOR IMPLEMENTATION OF ONE KALMAN FILTER ITERATION
520 ## - SUMMARY, ETC.
Summary, etc. The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, are applied in embedded systems and Internet-of-Things devices. This has brought techniques such as Kalman Filtering, which are capable of combining information from multiple sensors or sources, to the interest of students and hobbyists. This book will explore the necessary background concepts, helping a much wider audience of readers develop an understanding and intuition that will enable them to follow the explanation for the Kalman Filtering algorithm. Key Features: Provides intuitive understanding of Kalman Filtering approach Succinct overview of concepts to enhance accessibility and appeal to a wide audience Interactive learning techniques with code examples Malek Adjouadi, PhD, is Ware Professor with the Department of Electrical and Computer Engineering at Florida International University, Miami. He received his PhD from the Electrical Engineering Department at the University of Florida, Gainesville. He is the Founding Director of the Center for Advanced Technology and Education funded by the National Science Foundation. His earlier work on computer vision to help persons with blindness led to his testimony to the U.S. Senate on the committee of Veterans Affairs on the subject of technology to help persons with disabilities. His research interests are in imaging, signal processing and machine learning, with applications in brain research and assistive technology. Armando Barreto, PhD, is Professor of the Electrical and Computer Engineering Department at Florida International University, Miami, as well as the Director of FIU's Digital Signal Processing Laboratory, with more than 25 years of experience teaching DSP to undergraduate and graduate students. He earned his PhD in electrical engineering from the University of Florida, Gainesville. His work has focused on applying DSP techniques to the facilitation of human-computer interactions, particularly for the benefit of individuals with disabilities. He has developed human-computer interfaces based on the processing of signals and has developed a system that adds spatialized sounds to the icons in a computer interface to facilitate access by individuals with "low vision." With his research team, he has explored the use of Magnetic, Angular-Rate and Gravity (MARG) sensor modules and Inertial Measurement Units (IMUs) for human-computer interaction applications. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). Francisco R. Ortega, PhD, is an Assistant Professor at Colorado State University and Director of the Natural User Interaction Lab (NUILAB). Dr. Ortega earned his PhD in Computer Science (CS) in the field of Human-Computer Interaction (HCI) and 3D User Interfaces (3DUI) from Florida International University (FIU). He also held a position of Post-Doc and Visiting Assistant Professor at FIU. His main research area focuses on improving user interaction in 3DUI by (a) eliciting (hand and full-body) gesture and multimodal interactions, (b) developing techniques for multimodal interaction, and (c) developing interactive multimodal recognition systems. His secondary research aims to discover how to increase interest for CS in non-CS entry-level college students via virtual and augmented reality games. His research has resulted in multiple peer-reviewed publications in venues such as ACM ISS, ACM SUI, and IEEE 3DUI, among others. He is the first-author of the CRC Press book Interaction Design for 3D User Interfaces: The World of Modern Input Devices for Research, Applications and Game Development. Nonnarit O-larnnithipong, PhD, is an Instructor at Florida International University. Dr. O-larnnithipong earned his PhD in Electrical Engineering, majoring in Digital Signal Processing from Florida International University (FIU). He also held a position of Post-Doctoral Associate at FIU in 2019. His research has focused on (1) implementing the sensor fusion algorithm to improve orientation measurement using MEMS inertial and magnetic sensors and (2) developing a 3D hand motion tracking system using Inertial Measurement Units (IMUs) and infrared cameras. His research has resulted in multiple peer-reviewed publications in venues such as HCI-International and IEEE Sensors.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Kalman filtering.
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title MATLAB.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Numerical analysis
General subdivision Computer programs.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / General
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Computer Graphics / Game Programming & Design
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Adjouadi, Malek,
Dates associated with a name 1955-
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ortega, Francisco R.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name O-larnnithipong, Nonnarit,
Relator term author.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Read Online
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9780429200656">https://www.taylorfrancis.com/books/9780429200656</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type eBook

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