Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals
Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals

Author: Ali Moukadem

Publisher: John Wiley & Sons

Published: 2014-03-06

Total Pages: 149

ISBN-13: 1118908708

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This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers. Theory enhancement, original applications and concrete implementation on FPGA for real-time processing are also covered in this book.

Topographical Tools for Filtering and Segmentation 1
Topographical Tools for Filtering and Segmentation 1

Author: Fernand Meyer

Publisher: John Wiley & Sons

Published: 2019-01-23

Total Pages: 271

ISBN-13: 1119579546

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Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description of these tools. Volume 1 is devoted to watersheds. The topography of a graph appears by observing the evolution of a drop of water moving from node to node on a weighted graph, along flowing paths, until it reaches regional minima. The upstream nodes of a regional minimum constitute its catchment zone. The catchment zones may be constructed independently of each other and locally, in contrast with the traditional approach where the catchment basins have to be constructed all at the same time. Catchment zones may overlap, and thus, a new segmentation paradigm is proposed in which catchment zones cover each other according to a priority order. The resulting partition may then be corrected, by local and parallel treatments, in order to achieve the desired precision.

Architecture-Aware Optimization Strategies in Real-time Image Processing
Architecture-Aware Optimization Strategies in Real-time Image Processing

Author: Chao Li

Publisher: John Wiley & Sons

Published: 2017-10-30

Total Pages: 120

ISBN-13: 1119467144

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In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration. The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.

Signals and Control Systems
Signals and Control Systems

Author: Smain Femmam

Publisher: John Wiley & Sons

Published: 2017-01-03

Total Pages: 295

ISBN-13: 1119384583

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The aim of this book is the study of signals and deterministic systems, linear, time-invariant, finite dimensions and causal. A set of useful tools is selected for the automatic and signal processing and methods of representation of dynamic linear systems are exposed, and analysis of their behavior. Finally we discuss the estimation, identification and synthesis of control laws for the purpose of stabilization and regulation.

Fundamentals of Signals and Control Systems
Fundamentals of Signals and Control Systems

Author: Smain Femmam

Publisher: John Wiley & Sons

Published: 2017-01-03

Total Pages: 250

ISBN-13: 1119335701

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The aim of this book is the study of signals and deterministic systems, linear, time-invariant, finite dimensions and causal. A set of useful tools is selected for the automatic and signal processing and methods of representation of dynamic linear systems are exposed, and analysis of their behavior. Finally we discuss the estimation, identification and synthesis of control laws for the purpose of stabilization and regulation. The study of signal characteristics and properties systems and knowledge of mathematical tools and treatment methods and analysis, are lately more and more importance and continue to evolve. The reason is that the current state of technology, particularly electronics and computing, enables the production of very advanced processing systems, effective and less expensive despite the complexity.

Digital Signal Processing (DSP) with Python Programming
Digital Signal Processing (DSP) with Python Programming

Author: Maurice Charbit

Publisher: John Wiley & Sons

Published: 2017-01-03

Total Pages: 254

ISBN-13: 1119373050

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The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.

Digital Signal and Image Processing using MATLAB, Volume 3
Digital Signal and Image Processing using MATLAB, Volume 3

Author: Gérard Blanchet

Publisher: John Wiley & Sons

Published: 2015-10-02

Total Pages: 361

ISBN-13: 1119054109

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Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB, after first two volumes on the "Fundamentals" and "Advances and Applications: The Deterministic Case", focuses on the stochastic case. It will be of particular benefit to readers who already possess a good knowledge of MATLAB, a command of the fundamental elements of digital signal processing and who are familiar with both the fundamentals of continuous-spectrum spectral analysis and who have a certain mathematical knowledge concerning Hilbert spaces. This volume is focused on applications, but it also provides a good presentation of the principles. A number of elements closer in nature to statistics than to signal processing itself are widely discussed. This choice comes from a current tendency of signal processing to use techniques from this field. More than 200 programs and functions are provided in the MATLAB language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.

Fourier Analysis
Fourier Analysis

Author: Roger Ceschi

Publisher: John Wiley & Sons

Published: 2017-01-18

Total Pages: 202

ISBN-13: 1119372232

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This book aims to learn to use the basic concepts in signal processing. Each chapter is a reminder of the basic principles is presented followed by a series of corrected exercises. After resolution of these exercises, the reader can pretend to know those principles that are the basis of this theme. "We do not learn anything by word, but by example."

Digital Signal and Image Processing using MATLAB, Volume 2
Digital Signal and Image Processing using MATLAB, Volume 2

Author: Gérard Blanchet

Publisher: John Wiley & Sons

Published: 2015-02-16

Total Pages: 276

ISBN-13: 1848216416

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The most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals, the theory being supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. Following on from the first volume, this second installation takes a more practical stance, providing readers with the applications of ISP.

Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing
Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

Author: Jean-Francois Giovannelli

Publisher: John Wiley & Sons

Published: 2015-02-16

Total Pages: 322

ISBN-13: 1848216378

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The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.