Signal and Information Processing

✍ Scribed by Jovan Pehcevski

• Publisher: Arcler press
• Year: 2024
• Tongue: English
• Leaves: 411
• Category: Library

✦ Synopsis

With signal processing, we want to identify/characterize various physical processes, such as standard engineering variables (e.g. faults on bearings, dynamic properties of structures), as well as biology phenomena (e.g. genome sequencing), astronomy (e.g. measuring a black hole), social sciences (e.g. the spread of the corona virus) and the like. This book edition covers different topics from signal and information processing, including methods for signal processing, signal processing in medicine, image and video signal processing, and signal processing in engineering.

✦ Table of Contents

Cover
HalfTitle Page
Title Page
Copyright
Declaration
About the Editor
Table of Contents
List of Contributors
List of Abbreviations
Preface
Section 1: Methods For Signal Processing
Chapter 1: Comparative Study and Analysis of Performances among RNS, DBNS, TBNS and MNS for DSP Applications
Abstract
Introduction
Review of Residue Number System
Review of Dbns Theory And Analysis
Review of Tbns Theory And Analysis
Concept of Mixed Number System (mns)
Application of Different Number Systems on Dsp
Experimental Results
Analysis of Results
Conclusion
References
Chapter 2: The Fourier Notation of the Geomagnetic Signals Informative Parameters
Abstract
Introduction
The Metrological Manipulation of the Energy Definition
The Digital Computation of the Ei and EP Energy Bands
The Digital Informative Parameters
Robustness of the Signal: An Observation About the Frequency Filters Performances
The Signal “visibility” in Standard and Singularity Metrologies: An Interesting Example
Conclusion
Acknowledgements
References
Chapter 3: A Time Dependent Model for Image Denoising
Abstract
Introduction
Image Denoising Models
Time Dependent Model For 1d
Numerical Experiments For 1d
Numerical Experiments For 2d
Concluding Remarks
References
Section 2: Methods For Signal Processing
Chapter 4: An Efficient Signal Processing Algorithm for Detecting Abnormalities in EEG Signal Using CNN
Abstract
Introduction
Related Work
Materials and Method
Proposed Methodology
Convolutional Neural Network (cnn)
Results and Discussion
Conclusion
Acknowledgments
References
Chapter 5: Contribution to S-EMG Signal Compression in 1D by the Combination of the Modified Discrete Wavelet Packet Transform (M
Abstract
Background
Methods
Results and Discussion
Conclusions
Acknowledgements
Abbreviations
References
Chapter 6: Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging
Abstract
Introduction
Preliminaries
Proposed Methodology
Results and Analysis
Conclusions
References
Chapter 7: A Biologically Inspired Algorithm for Low Energy Clustering Problem in Body Area Network
Abstract
Introduction
Related Work
System Model
Bihabca for Minimizing Energy Cost in Bans
Simulation Results and Analysis
Conclusion
Acknowledgments
References
Section 3: Image And Video Signal Processing
Chapter 8: Segmentation of Visual Images by Sequential Extracting Homogeneous Texture Areas
Abstract
Introduction
An Overview of the Texture Segmentation Process
Texture Features, Their Representation, and Formation of the Etalon Feature Pattern
Computation of the Degree of Similarity Between the Representing Patch And Texture Windows
Algorithm for Combining the Segments of the Same Texture
A Neural Network with Competitive Layers
Experiments
Discussion and Conclusions
References
Chapter 9: Deep Learning in Visual Computing and Signal Processing
Abstract
Introduction
Deep Learning Algorithms
Training Strategy
Applications
Challenges
Conclusion
References
Chapter 10: Pre-Processing Images of Public Signage for OCR Conversion
Abstract
Introduction
Previous Work
Methodology
Conclusions
Future Work
Acknowledgements
References
Chapter 11: A Local Binary Pattern-Based Method for Color and Multicomponent Texture Analysis
Abstract
Introduction
Material and Methods
Results and Discussion
Conclusion
Acknowledgements
References
Section 4: Engineering Applications Of Signal Processing
Chapter 12: An Adaptive EMD Technique for Induction Motor Fault Detection
Abstract
Introduction
Analysis of Proposed Adaptive EMD Technique
Verification of the Proposed Adaptive EMD Technique
Conclusion
Acknowledgements
References
Chapter 13: Nondestructive Testing for Corrosion Evaluation of Metal Under Coating
Abstract
Introduction
Challenges Posed by Corrosion Under Coating
State-of-the-art NDT Techniques
Discussion
Trends
Conclusion
Abbreviations
Acknowledgments
References
Chapter 14: Environment Perception Technologies for Power Transmission Line Inspection Robots
Abstract
Introduction
3d Reconstruction of PTL Inspection
Object Detection of PTL Inspection
Visual Servo of PTL Inspection
Problems and Prospects
Conclusion
Acknowledgments
References
Chapter 15: Feature Extraction Techniques of Non-Stationary Signals for Fault Diagnosis in Machinery Systems
Abstract
Introduction
Short-time Fourier Transform
Feature Extraction Method For Nonstationary Signals
Back-propagation Neural Network
Case Study
Conclusions
References
Index
Back Cover