Signal Processing: New Research

$45.00 – $179.00

Ganesh R. Naik (Editor)
Melbourne, Victoria, Australia

Series: Media and Communications – Technologies, Policies and Challenges
BISAC: TEC008020

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 extracting useful knowledge from them. The theory and applications of signal processing is concerned with the identification, modeling and utilization of patterns and structures in a signal process.

This book is aimed to provide a self-contained introduction to the subject as well as offering a set of invited contributions, which we see as lying at the cutting edge of both empirical and computational aspects of Signal Processing research. This book was born from discussions with researchers in the Signal Processing community and aims to provide a snapshot of some current trends and future challenges in Signal Processing research. This book presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of signal, image and video data. It will provide readers numerous signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. Furthermore, the research results previously scattered in many scientific journals and conference papers worldwide, are methodically collected and presented in the book in a unified form. The book is likely to be of interest to post graduate students, researchers, engineers, and professors – in the field of Signal Processing. This book is organized into 12 chapters, covering diverse applications of signal processing research. Although these chapters can be read almost independently, they share the same notations and the same subject index. Moreover, numerous cross-references link the chapters to each other. (Imprint: Nova)

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Table of Contents

Table of Contents

Preface i-viii

Chapter 1: Fourier Bessel and Wavelet Based Feature Extraction Technique (FBWBF) For Speaker Identification
(Vibha Tiwari and Jyoti Singhai, Department of Electronics and Communication, Gyan Ganga Institute of Technology and Management, Bhopal, India, and others) pp.1-36

Chapter 2: Digital Modulation Classification Using Artificial Intelligence Tools
(Negar Ahmadi, Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran)pp.37-62

Chapter 3: Energy Spectrum Analysis for Bearing Fault Detection
(Wilson Wang and Andrew Kadik, Mechanical Engineering, Lakehead University, Thunder Bay, Canada, and others)pp.63-78

Chapter 4: T-Wave Frequency Content Evaluation in Healthy Subjects and Patients Affected By Myocardial Infarction
(L. Burattini and C. Giuliani, Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy)pp.79-94
<a href=”https://novapublishers.com/wp-content/uploads/2019/07/978-1-62808-141-1_ch4.pdf” target=”_blank” rel=”noopener noreferrer”>Free Download Available</a>

Chapter 5: Filter Identification with Fuzzy Logic Transition
(Juan C. Garcia Infante, Jose J. Medel Juárez and Juan C. Sanchez García, Mechanical and Electrical Professional Engineering School,
Mexico, and others)pp.95-104

Chapter 6: A Multiresolution Channel Decomposition for H.264/AVC Unequal Error Protection
(Rachid Abbadi and Jamal El Abbadi, Département Génie Electrique, Ecole Mohammadia des Ingenieurs, Rabat, Morocco)pp.105-134

Chapter 7: Closed Loop Identification of Uncertain Systems
(Magdi S. Mahmoud and Haris M. Khalid, Department of Systems Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia)pp.135-160

Chapter 8: Blind Unmixing of Hyperspectral Data with Some Pure Pixels: Spatial Variance-Based Methods Exploiting Sparsity and Non-Negativity Properties
(Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini and Abdelaziz Ouamri, Division Observation de la Terre, Centre des Techniques Spatiales, Arzew, Algeria, and others)pp.161-182

Chapter 9: Sub-Matrix Discrete Cosine Transform
(Sun Wenbang, Sun Wenbin and Tang Haiyan, Aviation University of Air Force, China, and others)pp.183-210

Chapter 10: Extension of a Cumulant-Based ICA Method to Underdetermined Mixtures and Separability Analysis
(Yannick Deville, Universite de Toulouse, UPS-CNRS-OMP, Institut de Recherche en Astrophysique et Plan´etologie (IRAP), Toulouse, France)
pp.211-230

Chapter 11: Multidimensional Sinusoidal Frequency Estimation: Overview and Recent Results
(Yuntao Wu, Longting Huang and Yanduo Zhang, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China, and others)pp.231-256

Chapter 12: Singular Vector Based Approaches for Speech Enhancement
(Amin Zehtabian, Hamid Hassanpour and Shahrokh Zehtabian, University of Tarbiat Modares, Tehran, Iran, and others)pp.257-280

Index pp.281-282

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