H.264 and MPEG-4 Video Compression: Video Coding for Next-generation Multimedia
Following on from the successful MPEG-2 standard, MPEG-4 Visual is enabling a new wave of multimedia applications from Internet video streaming to mobile video conferencing. The new H.264 ‘Advanced Video Coding’ standard promises impressive compression performance and is gaining support from developers and manufacturers. The first book to cover H.264 in technical detail, this unique resource takes an application-based approach to the two standards and the coding concepts that underpin...
Principles of Modern Radar: Basic Principles (Principles of Modern Radar: Basic Principles)
Brand New
Stimson's Introduction to Airborne Radar (Radar, Sonar and Navigation)
Has any technical book, radar or otherwise, presented the fundamentals and applications of a topic with such clarity and interest as George Stimson’s masterpiece has? Over 50,000 happy Stimson owners would say, “Not likely!” Now a skilled and respected team of radar and EW engineers, working closely with a community of radar advisors and the publisher’s editors, have fully modernized coverage and maintained the unique Stimson look and feel. Even the “timeless principles” and core...
Adaptive Signal Processing (Prentice-hall Signal Processing Series)
A treatment of adaptive signal processing featuring frequent use of examples.
Fundamentals of Statistical Signal Processing: Practical Algorithm Development (Prentice-Hall Signal Processing Series)
The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms
In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay’s three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here,...
Error Control Coding
A reorganized and comprehensive major revision of a classic book, this edition provides a bridge between introductory digital communications and more advanced treatment of information theory. Completely updated to cover the latest developments, it presents state-of-the-art error control techniques. Coverage of the fundamentals of coding and the applications of codes to the design of real error control systems. Contains the most recent developments of coded modulation, trellises for codes,...
Fast Fourier Transform and Its Applications (Prentice-hall Signal Processing Series)
The Fast Fourier Transform (FFT) is a mathematical method widely used in signal processing. This book focuses on the application of the FFT in a variety of areas: Biomedical engineering, mechanical analysis, analysis of stock market data, geophysical analysis, and the conventional radar communications field.
Digital Filters for Everyone: Third Edition
Performing such functions as noise mitigation and signal conditioning, digital filters are everywhere: in your car, in your TV, in your music player, in your phone, everywhere. But an engineering degree or expensive software is not required to design and analyze them. In fact, whoever you are and whatever your background, this book will help you understand, design, analyze and use digital filters. This book was written to make digital filters more accessible to everyone. Practicing...
Synthetic Aperture Radar Signal Processing with MATLAB Algorithms
An up-to-date analysis of the SAR wavefront reconstruction signal theory and its digital implementation With the advent of fast computing and digital information processing techniques, synthetic aperture radar (SAR) technology has become both more powerful and more accurate. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms addresses these recent developments, providing a complete, up-to-date analysis of SAR and its associated digital signal processing algorithms. This book...
Digital Filters for Everyone: Third Edition
Performing such functions as noise mitigation and signal conditioning, digital filters are everywhere: in your car, in your TV, in your music player, in your phone, everywhere. But an engineering degree or expensive software is not required to design and analyze them. In fact, whoever you are and whatever your background, this book will help you understand, design, analyze and use digital filters. This book was written to make digital filters more accessible to everyone. Practicing...
Proakis Salehi 5e Digital Communication
Digital communications is a classic book in the area that is designed to be used as a senior or graduate level text. The text is flexible and can easily be used in a one semester course or there is enough depth to cover two semesters. Its comprehensive nature makes it a great book for students to keep for reference in their professional careers.key features:convenient, sequential organization begins with a look at the history and classification of channel models and builds from there...
Stimson's Introduction to Airborne Radar (Radar, Sonar and Navigation)
Has any technical book, radar or otherwise, presented the fundamentals and applications of a topic with such clarity and interest as George Stimson’s masterpiece has? Over 50,000 happy Stimson owners would say, “Not likely!” Now a skilled and respected team of radar and EW engineers, working closely with a community of radar advisors and the publisher’s editors, have fully modernized coverage and maintained the unique Stimson look and feel. Even the “timeless principles” and core...
Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.
Sparse Modeling: Theory, Algorithms, and Applications provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding...
Compressive Sensing for Urban Radar
With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates.
Compressive Sensing for Urban Radar is the first book to focus on a...
Principles of Modern Radar: Basic Principles (Principles of Modern Radar: Basic Principles)
Brand New
Compressed Sensing & Sparse Filtering (Signals and Communication Technology)
This book is aimed at presenting concepts, methods and algorithms ableto cope with undersampled and limited data. One such trend that recently gained popularity and to some extent revolutionised signal processing is compressed sensing. Compressed sensing builds upon the observation that many signals in nature are nearly sparse (or compressible, as they are normally referred to) in some domain, and consequently they can be reconstructed to within high accuracy from far fewer observations than...
Radar Systems Analysis and Design Using MATLAB (Advances in Applied Mathematics)
Developed from the author’s graduate-level courses, the first edition of this book filled the need for a comprehensive, self-contained, and hands-on treatment of radar systems analysis and design. It quickly became a bestseller and was widely adopted by many professors. The second edition built on this successful format by rearranging and updating topics and code.
Reorganized, expanded, and updated, Radar Systems Analysis and Design Using MATLAB®, Third Edition continues to help graduate...
Fundamentals of Statistical Signal Processing: Practical Algorithm Development (Prentice-Hall Signal Processing Series)
The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms
In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay’s three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here,...
Compressive Sensing for Wireless Networks
Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view...
