The fully comprehensive text covers most of the theoretical foundations and mathematical derivations that will be used in higher-level related subjects such as signal processing, communication, and control, minimizing the mathematical difficulty and computational burden.

Complying actively with the requirement by ABET (Accreditation Board for Engineering and Technology) on integrating computer tools, it illustrates the usage of MATLAB and Simulink for signal and system analysis and design.

The ideas are developed gradually with continual reference to the practical situations where they would be applicable. Many worked examples have been included in order to help develop the idea and to illustrate the material as it is presented. Throughout the book continuous-time and discrete-time signals/systems have been developed in parallel to save the time/space for explaining the two similar ones as far as there is no concern over confusion. This has the advantage of being able to contrast and compare the two ones so that ideas, insights, and intuition acquired in one can help understanding the other one and the differences between them are exploited to sharpen an understanding of the distinctive properties of each. That approach is also expected to make the readers become exposed to and interested in the relationship between continuous-time and discrete-time signals/systems above understanding each one of them individually.

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Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software.

Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software. The book concentrates on the simulation/Monte Carlo point of view, and contains algorithms for exploratory data analysis, modeling, Monte Carlo simulation, pattern recognition, bootstrap, classification, cross-validation methods, probability density estimation, random number generation, and other computational statistics methods. Emphasis on the practical aspects of statistics, details of the latest techniques, and real implementation experience make the Computational Statistics Handbook with MATLAB more than just the first book to use MATLAB to solve computational problems in statistics. It also forms an outstanding, introduction to statistics for anyone in the many disciplines that involve data analysis.

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The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. Algorithm Collections for Digital Signal Processing Applications using MATLAB attempts to satisfy the above requirement. Also the algorithms are made clear using MATLAB programs.

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Language: English
FileType: PDF
File size: 2467 KB

Get started using MATLAB right away with help from this hands-on guide. MATLAB Demystified offers an effective and enlightening method for learning how to get the most out this powerful computational mathematics tool.

Using an easy-to-follow format, this book explains the basics of MATLAB up front. You’ll find out how to plot functions, solve algebraic equations, and compute integrals. You’ll also learn how to solve differential equations, generate numerical solutions of ODEs, and work with special functions. Packed with hundreds of sample equations and explained solutions, and featuring end-of-chapter quizzes and a final exam, this book will teach you MATLAB essentials in no time at all.

This self-teaching guide offers:
The quickest way to get up and running on MATLAB
Hundreds of worked examples with solutions
Coverage of MATLAB 7
A quiz at the end of each chapter to reinforce learning and pinpoint weaknesses
A final exam at the end of the book
A time-saving approach to performing better on homework or on the job.

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