An Introduction to Digital Signal Processing
eBook - PDF

An Introduction to Digital Signal Processing

  1. 341 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

An Introduction to Digital Signal Processing

About this book

An Introduction to Digital Signal Processing is written for those who need to understand and use digital signal processing and yet do not wish to wade through a multi-semester course sequence. Using only calculus-level mathematics, this book progresses rapidly through the fundamentals to advanced topics such as iterative least squares design of IIR filters, inverse filters, power spectral estimation, and multidimensional applications--all in one concise volume. This book emphasizes both the fundamental principles and their modern computer implementation. It presents and demonstrates how simple the actual computer code is for advanced modern algorithms used in DSP. Results of these programs, which the reader can readily duplicate and use on a PC, are presented in many actual computer drawn plots. - Assumes no previous knowledge of signal processing but leads up to very advanced techniquescombines exposition of fundamental principles with practical applications - Includes problems with each chapter - Presents in detail the appropriate computer algorithums for solving problems

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Yes, you can access An Introduction to Digital Signal Processing by John H. Karl in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. An Introduction to Digital Signal Processing
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Preface
  7. Chapter 1. Signals and Systems
  8. Chapter 2. Sampled Data and the Z Transform
  9. Chapter 3. Sinusoidal Response of LSI Systems
  10. Chapter 4. Couplets and Elementary Filters
  11. Chapter 5. The Discrete Fourier Transform
  12. Chapter 6. The Continuous Fourier Integral Transform
  13. Chapter 7. Application of the Fourier Transform to Digital Signal Processing
  14. Chapter 8. Digital Filter Design
  15. Chapter 9. Inverse Filtering and Deconvolution
  16. Chapter 10. Spectral Factorization
  17. Chapter 11. Power Spectral Estimation
  18. Chapter 12. Multidimensional DSP
  19. References
  20. Index