This important new multimedia book concentrates on the significance of data compression for storing and transmitting large masses of information for all media types. Algorithms, examples, and discussions of official data compression standards for each medium allow practicing engineers and computer scientists to efficiently manipulate these growing masses of information.

Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems)

Computers & Technology

Sayood, Khalid

Networking & Cloud Computing

Morgan Kaufmann Pub

The second edition of Introduction to Data Compression builds on the features that made the first the logical choice-for practitioners who need a comprehensive guide to compression for all types of multimedia and instructors who want to equip their students with solid foundations in these increasingly important and diverse techniques. This book provides an extensive introduction to the theory underlying today's compression techniques, with detailed, instruction for their application. All of the coverage has been updated to reflect the state of the art in data compression, including both new algorithms and older methods for which new uses are being found. And the downloadable software gives you the opportunity to see firsthand how various algorithms work, to choose and implement appropriate techniques in your own applications, and to build your own algorithms. * Fully updated to cover the most recent lossy and lossless compression techniques, including wavelets, subband coding, predictive lossless techniques, and Huffman coding variants. * Explains established and emerging standards in depth: JPEG 2000, JPEG-LS, MPEG 2, Group 3 and 4 Faxes, JBIG 2, ADPCM, LPC, CELP, and MELP. * Includes an new chapter providing the mathematical background required for understanding wavelets and subband coding. * Via the companion Web site, provides source code that enables you to experiment with a wide range of compression techniques, along with sample data and updates on the latest developments in the compression field.

Introduction to Data Compression, Second Edition (The Morgan Kaufmann Series in Multimedia Information and Systems)

Computer Science

Morgan Kaufmann

This book/lecture is intended for a college freshman level class in problem solving, where the particular problems deal with electrical and electronic circuits. It can also be used in a junior/senior level class in high school to teach circuit analysis. The basic problem-solving paradigm used in this book is that of resolution of a problem into its component parts. The reader learns how to take circuits of varying levels of complexity using this paradigm. The problem-solving exercises also familiarize the reader with a number of different circuit components including resistors, capacitors, diodes, transistors, and operational amplifiers and their use in practical circuits. The reader should come away with both an understanding of how to approach complex problems and a “feel” for electrical and electronic circuits.

Understanding Circuits: Learning Problem Solving Using Circuit Analysis (Synthesis Lectures on Electrical Engineering)

Programming Languages

Morgan and Claypool Publishers

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr® constructs in the process. MATLABr® is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a "mental block" about computers. Although MATLABr® is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help users become comfortable with the language.

Learning Programming using MATLAB (Synthesis Lectures on Electrical Engineering, 3)

Based on the encoding process, arithmetic codes can be viewed as tree codes and current proposals for decoding arithmetic codes with forbidden symbols belong to sequential decoding algorithms and their variants. In this monograph, we propose a new way of looking at arithmetic codes with forbidden symbols. If a limit is imposed on the maximum value of a key parameter in the encoder, this modified arithmetic encoder can also be modeled as a finite state machine and the code generated can be treated as a variable-length trellis code. The number of states used can be reduced and techniques used for decoding convolutional codes, such as the list Viterbi decoding algorithm, can be applied directly on the trellis. The finite state machine interpretation can be easily migrated to Markov source case. We can encode Markov sources without considering the conditional probabilities, while using the list Viterbi decoding algorithm which utilizes the conditional probabilities. We can also use context-based arithmetic coding to exploit the conditional probabilities of the Markov source and apply a finite state machine interpretation to this problem.  The finite state machine interpretation also allows us to more systematically understand arithmetic codes with forbidden symbols. It allows us to find the partial distance spectrum of arithmetic codes with forbidden symbols. We also propose arithmetic codes with memories which use high memory but low implementation precision arithmetic codes. The low implementation precision results in a state machine with less complexity. The introduced input memories allow us to switch the probability functions used for arithmetic coding. Combining these two methods give us a huge parameter space of the arithmetic codes with forbidden symbols. Hence we can choose codes with better distance properties while maintaining the encoding efficiency and decoding complexity. A construction and search method is proposed and simulation results show that we can achieve a similar performance as turbo codes when we apply this approach to rate 2/3 arithmetic codes.  Table of Contents: Introduction / Arithmetic Codes / Arithmetic Codes with Forbidden Symbols / Distance Property and Code Construction / Conclusion

Joint Source Channel Coding Using Arithmetic Codes (Synthesis Lectures on Communications)

Bi, Dongsheng

Hoffman, Michael W.

Morgan Claypool

Signals and Systems: A One Semester Modular Course (Synthesis Lectures on Signal Processing)

Springer

This book focuses on bioinformatics, the study of the management and analysis of information used in biological systems.&nbsp; Particular emphasis explains to the reader how to study and extract useful information, such as relatedness of species, function of specific sequences, and genome organization from genomic sequences.&nbsp; This book focuses on the algorithmic aspects of bioinformatics and not on databases and software packages.&nbsp; There are two important discriminating characteristics that sets the book apart.&nbsp; It connects the algorithmic aspects and approaches to bioinformatics with the biological context while maintaining a user friendly and accessible description of the algorithms. The authors have curated the content for use a stand alone reference or the book will fit a one semester course on the subject.

Bioinformatics: A One Semester Course (Synthesis Lectures on Biomedical Engineering)

Science & Math

Otu, Hasan H.

Biological Sciences

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