Applied Digital Signal Processing: Theory and Practice (IE-Paperback)
暫譯: 應用數位信號處理：理論與實務 (IE-平裝本)

<內容簡介>

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.

Features

  Blends theory, practical implementation of algorithms with MATLAB and practical examples to equip the reader with an understanding of the basic concepts and methodologies of DSP

  The how-to-use approach outlines the principles necessary to apply DSP techniques to a wide variety of applications, ensuring students cover material relevant to engineering practice

  Systematic and concise approach gives the detail needed, with enough rigor to appeal to a theory-oriented reader, without overwhelming, detailed exposition
<章節目錄>

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