مقدمه‌ای بر پردازش سیگنال دیجیتال

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. Key Features * assumes no previous knowledge of signal processing but leads up to very advanced techniques combines exposition of fundamental principles with practical applications * includes problems with each chapter * presents in detail the appropriate computer algorithums for solving problems 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.

Key Features
* assumes no previous knowledge of signal processing but leads up to very advanced techniques
combines exposition of fundamental principles with practical applications
* includes problems with each chapter
* presents in detail the appropriate computer algorithums for solving problems Content: Front Matter , Page iii Copyright , Page iv Dedication , Page v Preface , Pages xi-xiii 1 - Signals and Systems , Pages 1-26 2 - Sampled Data and the Z Transform , Pages 27-40 3 - Sinusoidal Response of LSI Systems , Pages 41-63 4 - Couplets and Elementary Filters , Pages 64-78 5 - The Discrete Fourier Transform , Pages 79-96 6 - The Continuous Fourier Integral Transform , Pages 97-126 7 - Application of the Fourier Transform to Digital Signal Processing , Pages 127-164 8 - Digital Filter Design , Pages 165-196 9 - Inverse Filtering and Deconvolution , Pages 197-234 10 - Spectral Factorization , Pages 235-257 11 - Power Spectral Estimation , Pages 258-291 12 - Multidimensional DSP , Pages 292-331 References , Pages 333-334 Index , Pages 335-341