This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms ...with the second order counterparts in many applications.
This book treats the technology of radar imaging for remote sensing applications in a manner suited to the mathematical background of most earth scientists. It assumes no prior knowledge of radar on ...the part of the reader, instead it commences with a development of the essential concepts of radar before progressing through to a detailed coverage of contemporary ideas such as polarimetry and interferometry. Because the technology of radar imaging is potentially complex the first chapter provides a framework against which the rest of the book is set. Together, the first four chapters present the technical foundations for remote sensing with imaging radar. Scattering concepts are then covered so that the reader develops the knowledge necessary for interpreting radar data, itself the topic of a later chapter which draws together the current thinking in the analysis of radar imagery. The treatment is based on the assumption that the radars of interest are, in general, multi-polarised. Polarisation synthesis and polarised interferometric SAR are among the topics covered, as are tomography and the various forms of interferometry. A full chapter is given to bistatic radar, which is now emerging as an imaging technology with enormous potential and flexibility in remote sensing. The book concludes with a summary of passive microwave imaging. A set of appendices is included that provide supplementary material, among which is an overview of the rather complicated process of image formation with synthetic aperture radar, and summaries of some of the mathematical procedures important for a full appreciation of radar as a remote sensing technology.
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of ...this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.Features:* Balances presentation of the mathematics with applications to signal processing* Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox* Companion website for instructors and selected solutions and code available for studentsNew in this edition* Sparse signal representations in dictionaries* Compressive sensing, super-resolution and source separation* Geometric image processing with curvelets and bandlets* Wavelets for computer graphics with lifting on surfaces* Time-frequency audio processing and denoising* Image compression with JPEG-2000* New and updated exercisesA Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company.Companion website: A Numerical Tour of Signal Processing
Includes all the latest developments since the book was published in 1999, including itsapplication to JPEG 2000 and MPEG-4Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolboxBalances presentation of the mathematics with applications to signal processing
The basic operating principles of the most common types of protection relays have not changed for more than half a century. However, the calculations used to measure power system fault signals ...continue to cause problems with relay performance. As a result, there is a need for developing a next generation of protection relays which are more accurate, more reliable and faster than the conventional relays. Protective Relaying of Power Systems Using Mathematical Morphology discusses the development of novel protective relaying algorithms using Mathematical Morphology (MM). MM is a nonlinear signal processing technique derived from set theory and geometry. It analyses signals in terms of shape by retrieving the features of the signals using a pre-defined structuring element. The book introduces the fundamental principles, and brings together the applications of MM to develop new protective relaying algorithms for the protection of a variety of power system components (including transmission lines, bus, and power transformers), as well as for the distorted waveform detection and compensation which are required for the operation of many conventional relays. Protective Relaying of Power Systems Using Mathematical Morphology is an ideal source of information for researchers or postgraduates in the fields of power and engineering, as well as for power engineers.
A standard approach to describe an image for classification and retrieval purposes is to extract a set of local patch descriptors, encode them into a high dimensional vector and pool them into an ...image-level signature. The most common patch encoding strategy consists in quantizing the local descriptors into a finite set of prototypical elements. This leads to the popular Bag-of-Visual words representation. In this work, we propose to use the Fisher Kernel framework as an alternative patch encoding strategy: we describe patches by their deviation from an “universal” generative Gaussian mixture model. This representation, which we call Fisher vector has many advantages: it is efficient to compute, it leads to excellent results even with efficient linear classifiers, and it can be compressed with a minimal loss of accuracy using product quantization. We report experimental results on five standard datasets—PASCAL VOC 2007, Caltech 256, SUN 397, ILSVRC 2010 and ImageNet10K—with up to 9M images and 10K classes, showing that the FV framework is a state-of-the-art patch encoding technique.
Designing Human Interface in Speech Technology bridges a gap between the needs of the technical engineer and cognitive researchers working in the multidisciplinary area of speech technology ...applications. The approach is systematic and the focus is on the utility of developing and designing speech related products. Included is coverage of topics such as neuroscience on the multimodal cortex, cognitive theories on multi-task performance, stress and workload, as well as human information process theory and ecological interface design theory for evaluating speech-related human-system interfaces. Of special emphasis are topics such as spoken dialogue system design, in-vehicle communication system design and speech technology in military applications. Also included are tools on how to analyze the design, different design theories and process, methods about how to understand users. The material systematically describes the user-center design process and usability evaluation methods. Designing Human Interface in Speech Technology is appropriate for designers, engineers, and decision makers working in the area of speech technology research. It is also a good text book for senior university students and postgraduate students in the respective interaction design areas.
E-commerce offers immense challenges to traditional dispute resolution methods, as it entails parties often located in different parts of the world making contracts with each other at the click of a ...mouse. The use of traditional litigation for disputes arising in this forum is often inconvenient, impractical, time-consuming and expensive due to the low value of the transactions and the physical distance between the parties. Thus modern legal systems face a crucial choice: either to adopt traditional dispute resolution methods that have served the legal systems well for hundreds of years or to find new methods which are better suited to a world not anchored in territorial borders. Online Dispute Resolution (ODR), originally an off-shoot of Alternative Dispute Resolution (ADR), takes advantage of the speed and convenience of the Internet, becoming the best, and often the only option for enhancing consumer redress and strengthening their trust in e-commerce. This book provides an in-depth account of the potential of ODR for European consumers, offering a comprehensive and up to date analysis of the development of ODR. It considers the current expansion of ODR and evaluates the challenges posed in its growth. The book proposes the creation of legal standards to close the gap between the potential of ODR services and their actual use, arguing that ODR, if it is to realise its full potential in the resolution of e-commerce disputes and in the enforcement of consumer rights, must be grounded firmly on a European regulatory model. Introduction 1. Consumer Protection and Access to Justice in the E-Commerce Era: A European Perspective 2. Online Dispute Resolution as a Consumer Redress Strategy 3. Consumer Adjudicative Processes Supported by ICT: Court Processes and Arbitration 4. Online Mediation for Consumers: The Way Forward 5. The Need for a Legal Framework to Develop Consumer ODR in the EU
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