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Biomedical Signal Analysis: Contemporary Methods and Applications Publisher: The MIT Press 2010 PDF 420 pages ISBN: 7.3Mb Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation. Embedded Digital Signal Processing Systems Hindawi Publishing Corporation April 4, 2007 ISBN-10: 112 pages PDF 6.1MB During the brief history of GSM mobile phones, the line widths of silicon technologies used for their implementa- tion have decreased from 0.8µm in the mid 1990s to around 0.13µm in the early 21st century. In a typical phone, a basic voice call is fully executed in the baseband signal processing part, making it a very interesting reference point for compar- isons as the application has not changed over the years, not even in the voice call user interface. Nokia gives the “talk- time” and “stand-by time” for its phones in the product spec- i?cations, measured according to [1] or an earlier similar convention.
This enables us to track the impacts of techno- logical changes over time. Discrete Calculus: Applied Analysis on Graphs for Computational Science Publisher: Springer 2010 PDF 377 pages ISBN: 8.2Mb The field of discrete calculus, also known as “ discrete exterior calculus”, focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. In contrast to traditional goals of finding an accurate discretization of conventional multivariate calculus, discrete calculus establishes a separate, equivalent calculus that operates purely in the discrete space without any reference to an underlying continuous process. This unique text brings together into a single framework current research in the three areas of discrete calculus, complex networks, and algorithmic content extraction. Although there have been a few intersections in the literature between these disciplines, they have developed largely independently of one another, yet researchers working in any one of these three areas can strongly benefit from the tools and techniques being used in the others.
Data Compression: The Complete Reference (2nd edition) By David Salomon 2000 831 Pages ISBN: PDF 20 MB Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. Data Compression provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of 'how to' use them. The presentation is organized into the main branches of the field of data compression: run length encoding, statistical methods, dictionary-based methods, image compression, audio compression, and video compression. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists. Topics and features: coverage of video compression, including MPEG-1 and H.2 61; thorough coverage of wavelets methods, including CWT, DWT, EZW and the new Lifting Scheme technique; complete audio compression; QM coder used in JPEG and JBIG, including new JPEG 200 standard; image transformations and detailed coverage of discrete cosine transform and Haar transform; coverage of EIDAC method for compressing simple images; prefix image compression; ACB and FHM curve compression; geometric compression and edgebreaker technique.



