In a field as rapidly expanding as digital signal processing, even the topics relevant to the basics change over time both in their nature and their relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals, but that also follows a logical development that leaves no gaps readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB® is just such a text. The presentation does not focus on DSP in isolation, but relates it to continuous signal processing and treats digital signals as samples of physical phenomena. The author also takes care to introduce important topics not usually addressed in signal processing texts, including the discrete cosine and wavelet transforms, multirate signal processing, signal coding and compression, least squares systems design, and adaptive signal processing. He also uses the industry-standard software MATLAB to provide examples of signal processing, system design, spectral analysis, filtering, coding and compression, and exercise solutions. All of the examples and functions used in the text are available online at www.crcpress.com. Designed for a one-semester upper-level course but also ideal for self-study and reference, Digital Signal Processing with Examples in MATLAB is complete, self-contained, and rigorous. For basic DSP, it is quite simply the only book you need.
Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us.
This Second Edition also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory.
Decomposition, Recovery, Data-Based Actions Jose Maria Giron-Sierra ... Statistical Parametric Mapping: The Analysis of Functional Brain Images (Elsevier, 2006) F. Pereira, T. Mitchell, M. Botvinick, Machine learning classifiers and ...
10.3 IIR Filter Design Using MATLAB We will use two methods to design IIR digital filters using MATLAB. In the first method, we will start with the analogue prototype lowpass filter, then we will convert this filter into any of the ...
This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques.
Digital Signal Processing Using MATLAB
Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its ...
The prerequisites for a course based on this book are knowledge of standard mathematics, including calculus and complex numbers.
New to this edition: MATLAB projects dealing with practical applications added throughout the book New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field New applications ...