Borrow it
Coverart for item
The Resource Intelligent Methods in Signal Processing and Communications, edited by Domingo DoCampo, Anibal Figueiras-Vidal, Fernando Perez-González, (electronic resource)

Intelligent Methods in Signal Processing and Communications, edited by Domingo DoCampo, Anibal Figueiras-Vidal, Fernando Perez-González, (electronic resource)

Editor
Contributor
Summary
129 6.2 Representation of hints. 131 6.3 Monotonicity hints .. . 134 6.4 Theory ......... . 139 6.4.1 Capacity results 140 6.4.2 Decision boundaries 144 6.5 Conclusion 145 6.6 References....... ... 146 7 Analysis and Synthesis Tools for Robust SPRness 147 C. Mosquera, J.R. Hernandez, F. Perez-Gonzalez 7.1 Introduction.............. 147 7.2 SPR Analysis of Uncertain Systems. 153 7.2.1 The Poly topic Case . 155 7.2.2 The ZP-Ball Case ...... . 157 7.2.3 The Roots Space Case ... . 159 7.3 Synthesis of LTI Filters for Robust SPR Problems 161 7.3.1 Algebraic Design for Two Plants ..... . 161 7.3.2 Algebraic Design for Three or More Plants 164 7.3.3 Approximate Design Methods. 165 7.4 Experimental results 167 7.5 Conclusions 168 7.6 References ..... . 169 8 Boundary Methods for Distribution Analysis 173 J.L. Sancho et aZ. 8.1 Introduction ............. . 173 8.1.1 Building a Classifier System . 175 8.2 Motivation ............. . 176 8.3 Boundary Methods as Feature-Set Evaluation 177 8.3.1 Results ................ . 179 8.3.2 Feature Set Evaluation using Boundary Methods: S- mary. . . . . . . . . . . . . . . . . . . .. . . 182 . .
Language
  • eng
  • eng
Work
Publication
Edition
1st ed. 1997.
Extent
1 online resource (XVI, 318 p.)
Note
Bibliographic Level Mode of Issuance: Monograph
Contents
  • 1 Adaptive Antenna Arrays in Mobile Communications
  • 1.1 Introduction
  • 1.2 Adaptive Arrays in Base Station Antennas
  • 1.3 Adaptive Array Details
  • 1.4 LMS Adaptive Array Examples
  • 1.5 Desired Signal Availability
  • 1.6 Discussion and Observations
  • 1.7 References
  • 2 Demodulation in the Presence of Multiuser Interference: Progress and Misconceptions
  • 2.1 Introduction
  • 2.2 Single-user Matched Filter
  • 2.3 Optimum Multiuser Detection
  • 2.4 Linear Multiuser Detection
  • 2.5 Decision-based Multiuser Detection
  • 2.6 Noncoherent Multiuser Detection
  • 2.7 Multiuser Detection combined with Array Processing
  • 2.8 Multiuser Detection with Error Control Coded Data
  • 2.9 References
  • 3 Intelligent Signal Detection
  • 3.1 Introduction
  • 3.2 Three Basic Elements Of The Intelligent Detection System
  • 3.3 Neural Network-Based Two-Channel Receiver
  • 3.4 Rationale For The Modular Detection Strategy
  • 3.5 Case Study
  • 3.6 Summary And Discussion
  • 3.7 References
  • 4 Biometric Identification for Access Control
  • 4.1 Introduction
  • 4.2 Feature Extraction for Biometric Identification
  • 4.3 Pattern Classification for Biometric Identification
  • 4.4 Probabilistic Decision-Based Neural Network
  • 4.5 Biometric Identification by Human Faces
  • 4.6 Biometric Identification by Palm Prints
  • 4.7 Concluding Remarks
  • 4.8 References
  • 5 Multidimensional Nonlinear Myopic Maps, Volterra Series, and Uniform Neural-Network Approximations
  • 5.1 Introduction
  • 5.2 Approximation of Myopic Maps
  • 5.3 Appendices
  • 5.4 References
  • 6 Monotonicity: Theory and Implementation
  • 6.1 Introduction
  • 6.2 Representation of hints
  • 6.3 Monotonicity hints
  • 6.4 Theory
  • 6.5 Conclusion
  • 6.6 References
  • 7 Analysis and Synthesis Tools for Robust SPRness
  • 7.1 Introduction
  • 7.2 SPR Analysis of Uncertain Systems
  • 7.3 Synthesis of LTI Filters for Robust SPR Problems
  • 7.4 Experimental results
  • 7.5 Conclusions
  • 7.6 References
  • 8 Boundary Methods for Distribution Analysis
  • 8.1 Introduction
  • 8.2 Motivation
  • 8.3 Boundary Methods as Feature-Set Evaluation
  • 8.4 Boundary Methods as a Sample-Pruning (SP) Mechanism
  • 8.5 Boundary Methods as Fisher’s Linear Discriminant (FLD).
  • 8.6 Conclusions
  • 8.7 Apendix: Proof of the Theorem Relating FLD and Boundary Methods
  • 8.8 References
  • 9 Constructive Function Approximation: Theory and Practice
  • 9.1 Introduction
  • 9.2 Overview of Constructive Approximation
  • 9.3 Constructive Solutions
  • 9.4 Limits and Bounds of the Approximation
  • 9.5 The Sigmoidal Class of Approximators
  • 9.6 Practical Considerations
  • 9.7 Conclusions
  • 9.8 Acknowledgments
  • 9.9 References
  • 10 Decision Trees Based on Neural Networks
  • 10.1 Introduction
  • 10.2 Adaptive modular classifiers
  • 10.3 A survey on tree classification
  • 10.4 Neural Decision Trees
  • 10.5 Hierarchical mixtures of experts
  • 10.6 Lighting the hidden variables
  • 10.7 Conclusions
  • 10.8 References
  • 11 Applications of Chaos in Communications
  • 11.1 Introduction
  • 11.2 Deterministic dynamical systems and chaos
  • 11.3 Chua’s oscillator: a paradigm for chaos
  • 11.4 Periodicity, quasiperiodicity, and chaos
  • 11.5 Applications of chaos in communications
  • 11.6 Digital communication
  • 11.7 Spreading
  • 11.8 Chaotic synchronization: state of the art
  • 11.9 Chaotic modulation: state of the art
  • 11.10Chaotic demodulation: state of the art
  • 11.11Additional considerations
  • 11.12Engineering challenges
  • 11.13References
  • 12 Design of Near PR Non-Uniform Filter Banks
  • 12.1 Introduction
  • 12.2 The MPEG audio coder
  • 12.3 Non-uniform filter banks with rational sampling factors
  • 12.4 Examples of non-uniform filter banks design
  • 12.5 Conclusions
  • 12.6 References
  • 13 Source Coding of Stereo Pairs
  • 13.1 Introduction
  • 13.2 Stereo Image Coding
  • 13.3 The Subspace Projection Technique
  • 13.4 Experimental Results
  • 13.5 Conclusion
  • 13.6 References
  • 14 Design Methodology for VLSI Implementation of Image and Video Coding Algorithms — A Case Study
  • 14.1 Introduction
  • 14.2 JPEG Baseline Algorithm
  • 14.3 High Level Modeling
  • 14.4 VLSI Architectures
  • 14.5 Bit-true Level Modeling
  • 14.6 Layout Design
  • 14.7 Results
  • 14.8 Conclusions
  • 14.9 Acknowledgements
  • 14. l0 References
Isbn
9781461220183
Instance
Label
Intelligent Methods in Signal Processing and Communications
Title
Intelligent Methods in Signal Processing and Communications
Statement of responsibility
edited by Domingo DoCampo, Anibal Figueiras-Vidal, Fernando Perez-González
Contributor
Editor
Editor
Subject
Language
  • eng
  • eng
Summary
129 6.2 Representation of hints. 131 6.3 Monotonicity hints .. . 134 6.4 Theory ......... . 139 6.4.1 Capacity results 140 6.4.2 Decision boundaries 144 6.5 Conclusion 145 6.6 References....... ... 146 7 Analysis and Synthesis Tools for Robust SPRness 147 C. Mosquera, J.R. Hernandez, F. Perez-Gonzalez 7.1 Introduction.............. 147 7.2 SPR Analysis of Uncertain Systems. 153 7.2.1 The Poly topic Case . 155 7.2.2 The ZP-Ball Case ...... . 157 7.2.3 The Roots Space Case ... . 159 7.3 Synthesis of LTI Filters for Robust SPR Problems 161 7.3.1 Algebraic Design for Two Plants ..... . 161 7.3.2 Algebraic Design for Three or More Plants 164 7.3.3 Approximate Design Methods. 165 7.4 Experimental results 167 7.5 Conclusions 168 7.6 References ..... . 169 8 Boundary Methods for Distribution Analysis 173 J.L. Sancho et aZ. 8.1 Introduction ............. . 173 8.1.1 Building a Classifier System . 175 8.2 Motivation ............. . 176 8.3 Boundary Methods as Feature-Set Evaluation 177 8.3.1 Results ................ . 179 8.3.2 Feature Set Evaluation using Boundary Methods: S- mary. . . . . . . . . . . . . . . . . . . .. . . 182 . .
Dewey number
621.382
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • yMuoC3grUck
  • mkwrdKPlcgc
  • VALaocgR96c
Image bit depth
0
Language note
English
LC call number
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • DoCampo, Domingo.
  • Figueiras-Vidal, Anibal.
  • Perez-González, Fernando.
http://library.link/vocab/subjectName
  • Telecommunication
  • Signal, Image and Speech Processing
  • Communications Engineering, Networks
Label
Intelligent Methods in Signal Processing and Communications, edited by Domingo DoCampo, Anibal Figueiras-Vidal, Fernando Perez-González, (electronic resource)
Instantiates
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Adaptive Antenna Arrays in Mobile Communications -- 1.1 Introduction -- 1.2 Adaptive Arrays in Base Station Antennas -- 1.3 Adaptive Array Details -- 1.4 LMS Adaptive Array Examples -- 1.5 Desired Signal Availability -- 1.6 Discussion and Observations -- 1.7 References -- 2 Demodulation in the Presence of Multiuser Interference: Progress and Misconceptions -- 2.1 Introduction -- 2.2 Single-user Matched Filter -- 2.3 Optimum Multiuser Detection -- 2.4 Linear Multiuser Detection -- 2.5 Decision-based Multiuser Detection -- 2.6 Noncoherent Multiuser Detection -- 2.7 Multiuser Detection combined with Array Processing -- 2.8 Multiuser Detection with Error Control Coded Data -- 2.9 References -- 3 Intelligent Signal Detection -- 3.1 Introduction -- 3.2 Three Basic Elements Of The Intelligent Detection System -- 3.3 Neural Network-Based Two-Channel Receiver -- 3.4 Rationale For The Modular Detection Strategy -- 3.5 Case Study -- 3.6 Summary And Discussion -- 3.7 References -- 4 Biometric Identification for Access Control -- 4.1 Introduction -- 4.2 Feature Extraction for Biometric Identification -- 4.3 Pattern Classification for Biometric Identification -- 4.4 Probabilistic Decision-Based Neural Network -- 4.5 Biometric Identification by Human Faces -- 4.6 Biometric Identification by Palm Prints -- 4.7 Concluding Remarks -- 4.8 References -- 5 Multidimensional Nonlinear Myopic Maps, Volterra Series, and Uniform Neural-Network Approximations -- 5.1 Introduction -- 5.2 Approximation of Myopic Maps -- 5.3 Appendices -- 5.4 References -- 6 Monotonicity: Theory and Implementation -- 6.1 Introduction -- 6.2 Representation of hints -- 6.3 Monotonicity hints -- 6.4 Theory -- 6.5 Conclusion -- 6.6 References -- 7 Analysis and Synthesis Tools for Robust SPRness -- 7.1 Introduction -- 7.2 SPR Analysis of Uncertain Systems -- 7.3 Synthesis of LTI Filters for Robust SPR Problems -- 7.4 Experimental results -- 7.5 Conclusions -- 7.6 References -- 8 Boundary Methods for Distribution Analysis -- 8.1 Introduction -- 8.2 Motivation -- 8.3 Boundary Methods as Feature-Set Evaluation -- 8.4 Boundary Methods as a Sample-Pruning (SP) Mechanism -- 8.5 Boundary Methods as Fisher’s Linear Discriminant (FLD). -- 8.6 Conclusions -- 8.7 Apendix: Proof of the Theorem Relating FLD and Boundary Methods -- 8.8 References -- 9 Constructive Function Approximation: Theory and Practice -- 9.1 Introduction -- 9.2 Overview of Constructive Approximation -- 9.3 Constructive Solutions -- 9.4 Limits and Bounds of the Approximation -- 9.5 The Sigmoidal Class of Approximators -- 9.6 Practical Considerations -- 9.7 Conclusions -- 9.8 Acknowledgments -- 9.9 References -- 10 Decision Trees Based on Neural Networks -- 10.1 Introduction -- 10.2 Adaptive modular classifiers -- 10.3 A survey on tree classification -- 10.4 Neural Decision Trees -- 10.5 Hierarchical mixtures of experts -- 10.6 Lighting the hidden variables -- 10.7 Conclusions -- 10.8 References -- 11 Applications of Chaos in Communications -- 11.1 Introduction -- 11.2 Deterministic dynamical systems and chaos -- 11.3 Chua’s oscillator: a paradigm for chaos -- 11.4 Periodicity, quasiperiodicity, and chaos -- 11.5 Applications of chaos in communications -- 11.6 Digital communication -- 11.7 Spreading -- 11.8 Chaotic synchronization: state of the art -- 11.9 Chaotic modulation: state of the art -- 11.10Chaotic demodulation: state of the art -- 11.11Additional considerations -- 11.12Engineering challenges -- 11.13References -- 12 Design of Near PR Non-Uniform Filter Banks -- 12.1 Introduction -- 12.2 The MPEG audio coder -- 12.3 Non-uniform filter banks with rational sampling factors -- 12.4 Examples of non-uniform filter banks design -- 12.5 Conclusions -- 12.6 References -- 13 Source Coding of Stereo Pairs -- 13.1 Introduction -- 13.2 Stereo Image Coding -- 13.3 The Subspace Projection Technique -- 13.4 Experimental Results -- 13.5 Conclusion -- 13.6 References -- 14 Design Methodology for VLSI Implementation of Image and Video Coding Algorithms — A Case Study -- 14.1 Introduction -- 14.2 JPEG Baseline Algorithm -- 14.3 High Level Modeling -- 14.4 VLSI Architectures -- 14.5 Bit-true Level Modeling -- 14.6 Layout Design -- 14.7 Results -- 14.8 Conclusions -- 14.9 Acknowledgements -- 14. l0 References
Dimensions
unknown
Edition
1st ed. 1997.
Extent
1 online resource (XVI, 318 p.)
File format
multiple file formats
Form of item
online
Isbn
9781461220183
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4612-2018-3
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000089802
  • (DE-He213)978-1-4612-2018-3
  • (SSID)ssj0001008320
  • (PQKBManifestationID)11652978
  • (PQKBTitleCode)TC0001008320
  • (PQKBWorkID)10953531
  • (PQKB)11726969
  • (MiAaPQ)EBC3075991
  • (EXLCZ)993400000000089802
Label
Intelligent Methods in Signal Processing and Communications, edited by Domingo DoCampo, Anibal Figueiras-Vidal, Fernando Perez-González, (electronic resource)
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Adaptive Antenna Arrays in Mobile Communications -- 1.1 Introduction -- 1.2 Adaptive Arrays in Base Station Antennas -- 1.3 Adaptive Array Details -- 1.4 LMS Adaptive Array Examples -- 1.5 Desired Signal Availability -- 1.6 Discussion and Observations -- 1.7 References -- 2 Demodulation in the Presence of Multiuser Interference: Progress and Misconceptions -- 2.1 Introduction -- 2.2 Single-user Matched Filter -- 2.3 Optimum Multiuser Detection -- 2.4 Linear Multiuser Detection -- 2.5 Decision-based Multiuser Detection -- 2.6 Noncoherent Multiuser Detection -- 2.7 Multiuser Detection combined with Array Processing -- 2.8 Multiuser Detection with Error Control Coded Data -- 2.9 References -- 3 Intelligent Signal Detection -- 3.1 Introduction -- 3.2 Three Basic Elements Of The Intelligent Detection System -- 3.3 Neural Network-Based Two-Channel Receiver -- 3.4 Rationale For The Modular Detection Strategy -- 3.5 Case Study -- 3.6 Summary And Discussion -- 3.7 References -- 4 Biometric Identification for Access Control -- 4.1 Introduction -- 4.2 Feature Extraction for Biometric Identification -- 4.3 Pattern Classification for Biometric Identification -- 4.4 Probabilistic Decision-Based Neural Network -- 4.5 Biometric Identification by Human Faces -- 4.6 Biometric Identification by Palm Prints -- 4.7 Concluding Remarks -- 4.8 References -- 5 Multidimensional Nonlinear Myopic Maps, Volterra Series, and Uniform Neural-Network Approximations -- 5.1 Introduction -- 5.2 Approximation of Myopic Maps -- 5.3 Appendices -- 5.4 References -- 6 Monotonicity: Theory and Implementation -- 6.1 Introduction -- 6.2 Representation of hints -- 6.3 Monotonicity hints -- 6.4 Theory -- 6.5 Conclusion -- 6.6 References -- 7 Analysis and Synthesis Tools for Robust SPRness -- 7.1 Introduction -- 7.2 SPR Analysis of Uncertain Systems -- 7.3 Synthesis of LTI Filters for Robust SPR Problems -- 7.4 Experimental results -- 7.5 Conclusions -- 7.6 References -- 8 Boundary Methods for Distribution Analysis -- 8.1 Introduction -- 8.2 Motivation -- 8.3 Boundary Methods as Feature-Set Evaluation -- 8.4 Boundary Methods as a Sample-Pruning (SP) Mechanism -- 8.5 Boundary Methods as Fisher’s Linear Discriminant (FLD). -- 8.6 Conclusions -- 8.7 Apendix: Proof of the Theorem Relating FLD and Boundary Methods -- 8.8 References -- 9 Constructive Function Approximation: Theory and Practice -- 9.1 Introduction -- 9.2 Overview of Constructive Approximation -- 9.3 Constructive Solutions -- 9.4 Limits and Bounds of the Approximation -- 9.5 The Sigmoidal Class of Approximators -- 9.6 Practical Considerations -- 9.7 Conclusions -- 9.8 Acknowledgments -- 9.9 References -- 10 Decision Trees Based on Neural Networks -- 10.1 Introduction -- 10.2 Adaptive modular classifiers -- 10.3 A survey on tree classification -- 10.4 Neural Decision Trees -- 10.5 Hierarchical mixtures of experts -- 10.6 Lighting the hidden variables -- 10.7 Conclusions -- 10.8 References -- 11 Applications of Chaos in Communications -- 11.1 Introduction -- 11.2 Deterministic dynamical systems and chaos -- 11.3 Chua’s oscillator: a paradigm for chaos -- 11.4 Periodicity, quasiperiodicity, and chaos -- 11.5 Applications of chaos in communications -- 11.6 Digital communication -- 11.7 Spreading -- 11.8 Chaotic synchronization: state of the art -- 11.9 Chaotic modulation: state of the art -- 11.10Chaotic demodulation: state of the art -- 11.11Additional considerations -- 11.12Engineering challenges -- 11.13References -- 12 Design of Near PR Non-Uniform Filter Banks -- 12.1 Introduction -- 12.2 The MPEG audio coder -- 12.3 Non-uniform filter banks with rational sampling factors -- 12.4 Examples of non-uniform filter banks design -- 12.5 Conclusions -- 12.6 References -- 13 Source Coding of Stereo Pairs -- 13.1 Introduction -- 13.2 Stereo Image Coding -- 13.3 The Subspace Projection Technique -- 13.4 Experimental Results -- 13.5 Conclusion -- 13.6 References -- 14 Design Methodology for VLSI Implementation of Image and Video Coding Algorithms — A Case Study -- 14.1 Introduction -- 14.2 JPEG Baseline Algorithm -- 14.3 High Level Modeling -- 14.4 VLSI Architectures -- 14.5 Bit-true Level Modeling -- 14.6 Layout Design -- 14.7 Results -- 14.8 Conclusions -- 14.9 Acknowledgements -- 14. l0 References
Dimensions
unknown
Edition
1st ed. 1997.
Extent
1 online resource (XVI, 318 p.)
File format
multiple file formats
Form of item
online
Isbn
9781461220183
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4612-2018-3
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000089802
  • (DE-He213)978-1-4612-2018-3
  • (SSID)ssj0001008320
  • (PQKBManifestationID)11652978
  • (PQKBTitleCode)TC0001008320
  • (PQKBWorkID)10953531
  • (PQKB)11726969
  • (MiAaPQ)EBC3075991
  • (EXLCZ)993400000000089802

Subject

Library Locations

  • Architecture LibraryBorrow it
    Gould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US
    35.205706 -97.445050
  • Bizzell Memorial LibraryBorrow it
    401 W. Brooks St., Norman, OK, 73019, US
    35.207487 -97.447906
  • Boorstin CollectionBorrow it
    401 W. Brooks St., Norman, OK, 73019, US
    35.207487 -97.447906
  • Chinese Literature Translation ArchiveBorrow it
    401 W. Brooks St., RM 414, Norman, OK, 73019, US
    35.207487 -97.447906
  • Engineering LibraryBorrow it
    Felgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US
    35.205706 -97.445050
  • Fine Arts LibraryBorrow it
    Catlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US
    35.210371 -97.448244
  • Harry W. Bass Business History CollectionBorrow it
    401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • History of Science CollectionsBorrow it
    401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • John and Mary Nichols Rare Books and Special CollectionsBorrow it
    401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • Library Service CenterBorrow it
    2601 Technology Place, Norman, OK, 73019, US
    35.185561 -97.398361
  • Price College Digital LibraryBorrow it
    Adams Hall 102 307 West Brooks St., Norman, OK, 73019, US
    35.210371 -97.448244
  • Western History CollectionsBorrow it
    Monnet Hall 630 Parrington Oval, Rm. 300, Norman, OK, 73019, US
    35.209584 -97.445414

Library Links

Zepheira Logo
Structured data from the Bibframe namespace is licensed under the Creative Commons Attribution 4.0 International License by University of Oklahoma Libraries. Additional terms may apply to data associated with third party namespaces.
Processing Feedback ...