Digital Signal Processing Using Matlab by Proakis and Ingle

Digital Signal Processing Using Matlab by Proakis and Ingle integrates traditional topics in DSP with MATLAB to explore difficult topics and solve problems to gain insight.

The first eight chapters of this book discuss traditional material covered in an introductory course on DSP. The last two chapters present applications in adaptive filtering and communications with emphasis on projects based on MATLAB. Numerous MATLAB scripts are included throughout the book, and several functions from the Signal Processing Toolbox are introduced and applied.

This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.

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Digital Signal Processing by Proakis and Manolakis

Digital Signal Processing: Principles, Algorithms and Applications by John G. Proakis and Dimitris G. Manolakis presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electronics engineering, computer engineering, and computer science. The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

A balanced coverage is provided of both theory and practical applications. Includes many examples throughout the book and approximately 500 homework problems. Offers a detailed examination of power spectrum estimation, with discussions on nonparametric and model-based methods, as well as eigen-decomposition- based methods, including MUSIC and ESPRIT.

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