Signal and Information Processing

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. 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