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Signal processing : new research / Ganesh R. Naik, editor.

Contributor(s): Material type: TextTextSeries: Engineering tools, techniques and tables | Mechanical engineering theory and applicationsPublisher: New York : Nova Publishers, [2013]Copyright date: �2013Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781628081572
  • 1628081570
Subject(s): Genre/Form: Additional physical formats: Print version:: Signal processingDDC classification:
  • 621.382/23 23
LOC classification:
  • TK5102.9
Online resources:
Contents:
SIGNAL PROCESSING. NEW RESEARCH; SIGNAL PROCESSING. NEW RESEARCH; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; BACKGROUND AND MOTIVATION; INTENDED READERSHIP; Chapter 1: FOURIER BESSEL AND WAVELET BASED FEATURE EXTRACTION TECHNIQUE (FBWBF) FOR SPEAKER IDENTIFICATION; Abstract; 1. Introduction; 2. Speaker Identification System; 3. Feature Extraction; 4. Fourier Bessel and Wavelet Based Features for Speaker Identification; 5. Experimental Results; Conclusion; References; Chapter 2: DIGITAL MODULATION CLASSIFICATION USING ARTIFICIAL INTELLIGENCE TOOLS; Abstract.
IntroductionSignal Trajectory and Constellation; Modulation Classification Using Genetic Algorithm; Modulation Classification Using Fuzzy C-Means Algorithm; Results; Modulation Classification Using TTSAS Algorithm; Results; Conclusion; References; Chapter 3: ENERGY SPECTRUM ANALYSIS FOR BEARING FAULT DETECTION; Abstract; Introduction; Energy Spectrum Analysis; Bearing Fault Detection Based on Energy Spectrum Analysis; Performance Evaluation; Performance Evaluation; Conclusion; Acknowledgment; Appendix A; References.
Chapter 4: T-WAVE FREQUENCY CONTENT EVALUATION IN HEALTHY SUBJECTS AND PATIENTS AFFECTEDBY MYOCARDIAL INFARCTIONAbstract; Introduction; Methods; Clinical Data; Statistics; Results; Discussion; Conclusion; References; Chapter 5: FILTER IDENTIFICATION WITH FUZZY LOGIC TRANSITION; Abstract; Introduction; Fuzzy Filtering; Properties; Results; Conclusion; References; Chapter 6: A MULTIRESOLUTION CHANNEL DECOMPOSITION FOR H.264/AVC UNEQUAL ERROR PROTECTION; Abstract; Introduction; Data Partitioning Structure in H264./AVC; The Multiresolution OFDM System; Experimental Results and Discussion.
The Multiresolution Turbo Code SystemExperimental Results and Discussion; Conclusion; References; Chapter 7: CLOSED LOOP IDENTIFICATION OF UNCERTAIN SYSTEMS; Abstract; Nomenclature; 1. Introduction; 2. The Proposed Scheme; 3. System Model and Description; 4. Evaluation on a Physical System; 5. Conclusion; Acknowledgments; References; Chapter 8: BLIND UNMIXING OF HYPERSPECTRAL DATA WITH SOME PURE PIXELS: SPATIAL VARIANCE-BASED METHODS EXPLOITING SPARSITY AND NON-NEGATIVITY PROPERTIES; Abstract; 1. Introduction; 2. Standard Data Model of BSS and Application to Remote Sensing.
3. Proposed Unmixing Methodsand Performance Criteria4. Experimental Results; Conclusion; Acknowledgments; References; Chapter 9: SUB-MATRIX DISCRETE COSINE TRANSFORM; Abstract; Introduction; 3D SDCT; 3D Integer SDCT; Parallel Operation; 3D SDCT Application; Conclusion; References; Chapter 10: EXTENSION OF A CUMULANT-BASED ICA METHOD TO UNDERDETERMINED MIXTURES AND SEPARABILITY ANALYSIS; Abstract; 1. Problem Statement; 2. The Lacoume-Ruiz BSS Method for Determined Linear Instantaneous Mixtures; 3. Proposed Extended Method for Underdetermined Mixtures; 4. Separability Analysis.
Summary: The field of signal processing has seen exponential growth during the past decade, as remarkable innovations both in research and application have been made. The applications of signal processing are numerous and include audio signal processing, biomedical engineering, multimedia, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems, and many more. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of efficiently exchanging data and extrac.
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Includes bibliographical references and index.

Description based on print version record.

SIGNAL PROCESSING. NEW RESEARCH; SIGNAL PROCESSING. NEW RESEARCH; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; BACKGROUND AND MOTIVATION; INTENDED READERSHIP; Chapter 1: FOURIER BESSEL AND WAVELET BASED FEATURE EXTRACTION TECHNIQUE (FBWBF) FOR SPEAKER IDENTIFICATION; Abstract; 1. Introduction; 2. Speaker Identification System; 3. Feature Extraction; 4. Fourier Bessel and Wavelet Based Features for Speaker Identification; 5. Experimental Results; Conclusion; References; Chapter 2: DIGITAL MODULATION CLASSIFICATION USING ARTIFICIAL INTELLIGENCE TOOLS; Abstract.

IntroductionSignal Trajectory and Constellation; Modulation Classification Using Genetic Algorithm; Modulation Classification Using Fuzzy C-Means Algorithm; Results; Modulation Classification Using TTSAS Algorithm; Results; Conclusion; References; Chapter 3: ENERGY SPECTRUM ANALYSIS FOR BEARING FAULT DETECTION; Abstract; Introduction; Energy Spectrum Analysis; Bearing Fault Detection Based on Energy Spectrum Analysis; Performance Evaluation; Performance Evaluation; Conclusion; Acknowledgment; Appendix A; References.

Chapter 4: T-WAVE FREQUENCY CONTENT EVALUATION IN HEALTHY SUBJECTS AND PATIENTS AFFECTEDBY MYOCARDIAL INFARCTIONAbstract; Introduction; Methods; Clinical Data; Statistics; Results; Discussion; Conclusion; References; Chapter 5: FILTER IDENTIFICATION WITH FUZZY LOGIC TRANSITION; Abstract; Introduction; Fuzzy Filtering; Properties; Results; Conclusion; References; Chapter 6: A MULTIRESOLUTION CHANNEL DECOMPOSITION FOR H.264/AVC UNEQUAL ERROR PROTECTION; Abstract; Introduction; Data Partitioning Structure in H264./AVC; The Multiresolution OFDM System; Experimental Results and Discussion.

The Multiresolution Turbo Code SystemExperimental Results and Discussion; Conclusion; References; Chapter 7: CLOSED LOOP IDENTIFICATION OF UNCERTAIN SYSTEMS; Abstract; Nomenclature; 1. Introduction; 2. The Proposed Scheme; 3. System Model and Description; 4. Evaluation on a Physical System; 5. Conclusion; Acknowledgments; References; Chapter 8: BLIND UNMIXING OF HYPERSPECTRAL DATA WITH SOME PURE PIXELS: SPATIAL VARIANCE-BASED METHODS EXPLOITING SPARSITY AND NON-NEGATIVITY PROPERTIES; Abstract; 1. Introduction; 2. Standard Data Model of BSS and Application to Remote Sensing.

3. Proposed Unmixing Methodsand Performance Criteria4. Experimental Results; Conclusion; Acknowledgments; References; Chapter 9: SUB-MATRIX DISCRETE COSINE TRANSFORM; Abstract; Introduction; 3D SDCT; 3D Integer SDCT; Parallel Operation; 3D SDCT Application; Conclusion; References; Chapter 10: EXTENSION OF A CUMULANT-BASED ICA METHOD TO UNDERDETERMINED MIXTURES AND SEPARABILITY ANALYSIS; Abstract; 1. Problem Statement; 2. The Lacoume-Ruiz BSS Method for Determined Linear Instantaneous Mixtures; 3. Proposed Extended Method for Underdetermined Mixtures; 4. Separability Analysis.

The field of signal processing has seen exponential growth during the past decade, as remarkable innovations both in research and application have been made. The applications of signal processing are numerous and include audio signal processing, biomedical engineering, multimedia, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems, and many more. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of efficiently exchanging data and extrac.

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