Applied Digital Signal Processing: Theory and Practice by Dimitris G. ManolakisApplied Digital Signal Processing: Theory and Practice by Dimitris G. Manolakis

Applied Digital Signal Processing: Theory and Practice

byDimitris G. Manolakis, Vinay K. Ingle

Hardcover | November 21, 2011

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Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.
Title:Applied Digital Signal Processing: Theory and PracticeFormat:HardcoverDimensions:1008 pages, 9.69 × 7.44 × 1.61 inPublished:November 21, 2011Publisher:Cambridge University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0521110025

ISBN - 13:9780521110020

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Table of Contents

1. Introduction; 2. Discrete-time signals and systems; 3. The z-transform; 4. Fourier representation of signals; 5. Transform analysis of LTI systems; 6. Sampling of continuous-time signals; 7. The discrete Fourier transform; 8. Computation of the discrete Fourier transform; 9. Structures for discrete-time systems; 10. Design of FIR filters; 11. Design of IIR filters; 12. Multirate signal processing; 13. Random signals; 14. Random signal processing; 15. Finite wordlength effects.