DSP

Multitemporal Remote Sensing: Methods and Applications (Remote Sensing and Digital Image Processing) by Yifang Ban

Signals & Systems by Mahmood Nahvi

Statistical DSP by Monson H. Hayes

Digital Color Imaging Handbook by Gaurav Sharma, Raja Bala

Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development

Multitemporal Remote Sensing: Methods and Applications (Remote Sensing and Digital Image Processing) by Yifang Ban

2016 | ISBN: 3319470353 | English | 445 pages | PDF | 18 MB

Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data.

This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments.

This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.

Signals & Systems by Mahmood Nahvi

2013 | ISBN: 0073380709 | English | 1168 pages | PDF | 10 MB

Signals and Systems by Nahvi is intended for use in a signals and systems course at the undergraduate junior level. The book covers the analysis of signals and linear systems in the time and frequency domains and is organized into 18 chapters. The chapters are modular with sections and there are no sub-sections. The modular structure of the chapters provides a quick and direct approach to each topic within the chapters and makes the book a convenient tool for instructional needs in a wide range of teaching scenarios and at various levels of complexity. Continuous-time and discrete-time domains are treated separately in two parts. This allows the book to be used for instructions on either domain separately. It may also be used for courses teaching the two domains simultaneously, as the chapters in part one and two provide parallel presentations of each subject.

Statistical DSP by Monson H. Hayes

English | 28 Mar. 1996 | ISBN: 0471594318 | 628 Pages | PDF | 21 MB

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering.

Digital Color Imaging Handbook by Gaurav Sharma, Raja Bala

English | 2002 | ISBN: 084930900X | 575 Pages | PDF | 34.4 MB

Digital technology now enables unparalleled functionality and flexibility in the capture, processing, exchange, and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics-topics drawn from a broad range of disciplines. One can acquire the requisite background with an armload of physics, chemistry, engineering, computer science, and mathematics books and journals- or one can find it here, in the Digital Color Imaging Handbook.

Unprecedented in scope, this handbook presents, in a single concise and authoritative publication, the elements of these diverse areas relevant to digital color imaging. The first three chapters cover the basics of color vision, perception, and physics that underpin digital color imaging. The remainder of the text presents the technology of color imaging with chapters on color management, device color characterization, digital halftoning, image compression, color quantization, gamut mapping, computationally efficient transform algorithms, and color image processing for digital cameras.

Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development

English | 2013 | ISBN: 013280803X | 496 pages | EPUB | 41.25 MB

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, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems.

Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have “stood the test of time,” offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB code and verifying solutions.

Topics covered include

– Step by step approach to the design of algorithms

– Comparing and choosing signal and noise models

– Performance evaluation, metrics, tradeoffs, testing, and documentation

– Optimal approaches using the “big theorems”

– Algorithms for estimation, detection, and spectral estimation

– Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring

Exercises are presented throughout, with full solutions, and executable MATLAB code that implements all the algorithms, is provided on the accompanying CD.

This new volume is invaluable to engineers, scientists, and advanced students in every discipline that relies on signal processing; researchers will especially appreciate its timely overview of the state of the practical art. Volume III complements Dr. Kay’s Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (Prentice Hall, 1993; ISBN-13: 978-0-13-345711-7), and Volume II: Detection Theory (Prentice Hall, 1998; ISBN-13: 978-0-13-504135-2).