Signals and Images

Signals and Images

by Rosângela Fernandes Coelho, Vitor Heloiz Nascimento, Ricardo Lopes de Queiroz, João Travassos Romano, Charles Casimiro Cavalcante
Released September 2018
Publisher(s): CRC Press
ISBN: 9781498722377

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Book description

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. These experts detail the results of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line communications, bio-inspired signal processing, seismic data processing, arithmetic transforms for spectrum computation, particle filtering in cooperative networks, three-dimensional television, and more.

This book not only shows how signal processing theory is applied in current and emerging technologies, but also demonstrates how to tackle key problems such as how to enhance speech in the time domain, improve audio quality, and meet the desired electrical consumption target for controlling carbon emissions.

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing serves as a guide to the next generation of signal processing solutions for speech and video coding, hearing aid devices, big data processing, smartphones, smart digital communications, acoustic sensors, and beyond.

Table of contents

  1. Cover
  2. Dedication
  3. Contents (1/3)
  4. Contents (2/3)
  5. Contents (3/3)
  6. Preface
  7. Authors (1/2)
  8. Authors (2/2)
  9. Theory and Methods
    1. 1: Blind Source Separation: Principles of Independent and Sparse Component Analysis (1/6)
    2. 1: Blind Source Separation: Principles of Independent and Sparse Component Analysis (2/6)
    3. 1: Blind Source Separation: Principles of Independent and Sparse Component Analysis (3/6)
    4. 1: Blind Source Separation: Principles of Independent and Sparse Component Analysis (4/6)
    5. 1: Blind Source Separation: Principles of Independent and Sparse Component Analysis (5/6)
    6. 1: Blind Source Separation: Principles of Independent and Sparse Component Analysis (6/6)
    7. 2: Kernel-Based Nonlinear Signal Processing (1/5)
    8. 2: Kernel-Based Nonlinear Signal Processing (2/5)
    9. 2: Kernel-Based Nonlinear Signal Processing (3/5)
    10. 2: Kernel-Based Nonlinear Signal Processing (4/5)
    11. 2: Kernel-Based Nonlinear Signal Processing (5/5)
    12. 3: Arithmetic Transforms: Theory, Advances, and Challenges (1/8)
    13. 3: Arithmetic Transforms: Theory, Advances, and Challenges (2/8)
    14. 3: Arithmetic Transforms: Theory, Advances, and Challenges (3/8)
    15. 3: Arithmetic Transforms: Theory, Advances, and Challenges (4/8)
    16. 3: Arithmetic Transforms: Theory, Advances, and Challenges (5/8)
    17. 3: Arithmetic Transforms: Theory, Advances, and Challenges (6/8)
    18. 3: Arithmetic Transforms: Theory, Advances, and Challenges (7/8)
    19. 3: Arithmetic Transforms: Theory, Advances, and Challenges (8/8)
    20. 4: Distributed Particle Filtering in Cooperative Networks (1/7)
    21. 4: Distributed Particle Filtering in Cooperative Networks (2/7)
    22. 4: Distributed Particle Filtering in Cooperative Networks (3/7)
    23. 4: Distributed Particle Filtering in Cooperative Networks (4/7)
    24. 4: Distributed Particle Filtering in Cooperative Networks (5/7)
    25. 4: Distributed Particle Filtering in Cooperative Networks (6/7)
    26. 4: Distributed Particle Filtering in Cooperative Networks (7/7)
  10. Acoustic Signal Processing
    1. 5: Empirical Mode Decomposition Theory Applied to Speech Enhancement (1/7)
    2. 5: Empirical Mode Decomposition Theory Applied to Speech Enhancement (2/7)
    3. 5: Empirical Mode Decomposition Theory Applied to Speech Enhancement (3/7)
    4. 5: Empirical Mode Decomposition Theory Applied to Speech Enhancement (4/7)
    5. 5: Empirical Mode Decomposition Theory Applied to Speech Enhancement (5/7)
    6. 5: Empirical Mode Decomposition Theory Applied to Speech Enhancement (6/7)
    7. 5: Empirical Mode Decomposition Theory Applied to Speech Enhancement (7/7)
    8. 6: Acoustic Imaging Using the Kronecker Array Transform (1/6)
    9. 6: Acoustic Imaging Using the Kronecker Array Transform (2/6)
    10. 6: Acoustic Imaging Using the Kronecker Array Transform (3/6)
    11. 6: Acoustic Imaging Using the Kronecker Array Transform (4/6)
    12. 6: Acoustic Imaging Using the Kronecker Array Transform (5/6)
    13. 6: Acoustic Imaging Using the Kronecker Array Transform (6/6)
    14. 7: Automatic Evaluation of Acoustically Degraded Full-Band Speech (1/6)
    15. 7: Automatic Evaluation of Acoustically Degraded Full-Band Speech (2/6)
    16. 7: Automatic Evaluation of Acoustically Degraded Full-Band Speech (3/6)
    17. 7: Automatic Evaluation of Acoustically Degraded Full-Band Speech (4/6)
    18. 7: Automatic Evaluation of Acoustically Degraded Full-Band Speech (5/6)
    19. 7: Automatic Evaluation of Acoustically Degraded Full-Band Speech (6/6)
    20. 8: Models for Speech Processing (1/7)
    21. 8: Models for Speech Processing (2/7)
    22. 8: Models for Speech Processing (3/7)
    23. 8: Models for Speech Processing (4/7)
    24. 8: Models for Speech Processing (5/7)
    25. 8: Models for Speech Processing (6/7)
    26. 8: Models for Speech Processing (7/7)
  11. Image Processing
    1. 9: Energy-Aware Video Compression (1/6)
    2. 9: Energy-Aware Video Compression (2/6)
    3. 9: Energy-Aware Video Compression (3/6)
    4. 9: Energy-Aware Video Compression (4/6)
    5. 9: Energy-Aware Video Compression (5/6)
    6. 9: Energy-Aware Video Compression (6/6)
    7. 10: Rotation and Scale Invariant Template Matchings (1/7)
    8. 10: Rotation and Scale Invariant Template Matchings (2/7)
    9. 10: Rotation and Scale Invariant Template Matchings (3/7)
    10. 10: Rotation and Scale Invariant Template Matchings (4/7)
    11. 10: Rotation and Scale Invariant Template Matchings (5/7)
    12. 10: Rotation and Scale Invariant Template Matchings (6/7)
    13. 10: Rotation and Scale Invariant Template Matchings (7/7)
    14. 11: Three-Dimensional Television (3DTV) (1/4)
    15. 11: Three-Dimensional Television (3DTV) (2/4)
    16. 11: Three-Dimensional Television (3DTV) (3/4)
    17. 11: Three-Dimensional Television (3DTV) (4/4)
  12. Signal Processing in Communications
    1. 12: Overview of Tensor Decompositions with Applications to Communications (1/7)
    2. 12: Overview of Tensor Decompositions with Applications to Communications (2/7)
    3. 12: Overview of Tensor Decompositions with Applications to Communications (3/7)
    4. 12: Overview of Tensor Decompositions with Applications to Communications (4/7)
    5. 12: Overview of Tensor Decompositions with Applications to Communications (5/7)
    6. 12: Overview of Tensor Decompositions with Applications to Communications (6/7)
    7. 12: Overview of Tensor Decompositions with Applications to Communications (7/7)
    8. 13: Signal Detection and Parameter Estimation in Massive MIMO Systems (1/6)
    9. 13: Signal Detection and Parameter Estimation in Massive MIMO Systems (2/6)
    10. 13: Signal Detection and Parameter Estimation in Massive MIMO Systems (3/6)
    11. 13: Signal Detection and Parameter Estimation in Massive MIMO Systems (4/6)
    12. 13: Signal Detection and Parameter Estimation in Massive MIMO Systems (5/6)
    13. 13: Signal Detection and Parameter Estimation in Massive MIMO Systems (6/6)
    14. 14: Advances on Adaptive Sparse-Interpolated Filtering (1/7)
    15. 14: Advances on Adaptive Sparse-Interpolated Filtering (2/7)
    16. 14: Advances on Adaptive Sparse-Interpolated Filtering (3/7)
    17. 14: Advances on Adaptive Sparse-Interpolated Filtering (4/7)
    18. 14: Advances on Adaptive Sparse-Interpolated Filtering (5/7)
    19. 14: Advances on Adaptive Sparse-Interpolated Filtering (6/7)
    20. 14: Advances on Adaptive Sparse-Interpolated Filtering (7/7)
    21. 15: Cognitive Power Line Communication (1/7)
    22. 15: Cognitive Power Line Communication (2/7)
    23. 15: Cognitive Power Line Communication (3/7)
    24. 15: Cognitive Power Line Communication (4/7)
    25. 15: Cognitive Power Line Communication (5/7)
    26. 15: Cognitive Power Line Communication (6/7)
    27. 15: Cognitive Power Line Communication (7/7)
  13. Selected Topics in Signal Processing
    1. 16: Information Geometry: An Introduction to New Models for Signal Processing (1/8)
    2. 16: Information Geometry: An Introduction to New Models for Signal Processing (2/8)
    3. 16: Information Geometry: An Introduction to New Models for Signal Processing (3/8)
    4. 16: Information Geometry: An Introduction to New Models for Signal Processing (4/8)
    5. 16: Information Geometry: An Introduction to New Models for Signal Processing (5/8)
    6. 16: Information Geometry: An Introduction to New Models for Signal Processing (6/8)
    7. 16: Information Geometry: An Introduction to New Models for Signal Processing (7/8)
    8. 16: Information Geometry: An Introduction to New Models for Signal Processing (8/8)
    9. 17: Bio-Inspired and Information-Theoretic Signal Processing (1/8)
    10. 17: Bio-Inspired and Information-Theoretic Signal Processing (2/8)
    11. 17: Bio-Inspired and Information-Theoretic Signal Processing (3/8)
    12. 17: Bio-Inspired and Information-Theoretic Signal Processing (4/8)
    13. 17: Bio-Inspired and Information-Theoretic Signal Processing (5/8)
    14. 17: Bio-Inspired and Information-Theoretic Signal Processing (6/8)
    15. 17: Bio-Inspired and Information-Theoretic Signal Processing (7/8)
    16. 17: Bio-Inspired and Information-Theoretic Signal Processing (8/8)
    17. 18: High-Resolution Techniques for Seismic Signal Prospecting (1/7)
    18. 18: High-Resolution Techniques for Seismic Signal Prospecting (2/7)
    19. 18: High-Resolution Techniques for Seismic Signal Prospecting (3/7)
    20. 18: High-Resolution Techniques for Seismic Signal Prospecting (4/7)
    21. 18: High-Resolution Techniques for Seismic Signal Prospecting (5/7)
    22. 18: High-Resolution Techniques for Seismic Signal Prospecting (6/7)
    23. 18: High-Resolution Techniques for Seismic Signal Prospecting (7/7)
    24. 19: Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing (1/6)
    25. 19: Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing (2/6)
    26. 19: Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing (3/6)
    27. 19: Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing (4/6)
    28. 19: Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing (5/6)
    29. 19: Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing (6/6)

Product information

  • Title: Signals and Images
  • Author(s): Rosângela Fernandes Coelho, Vitor Heloiz Nascimento, Ricardo Lopes de Queiroz, João Travassos Romano, Charles Casimiro Cavalcante
  • Release date: September 2018
  • Publisher(s): CRC Press
  • ISBN: 9781498722377