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เนื้อหาย่อ : The field of digital signal processing (DSP) has seen explosive growth during the past four decades, as phenomenal advances both in research and application have been made. Fueling this growth have been the advances in digital computer technology and software development. Almost every electrical and computer engineering department in this country and abroad now offers one or more courses in digital ignal processing, with the first course usually being offered at the senior level. This book is intended for two-semester course on digital signal processing for seniors or first-year graduate students. It is also written at a level suitable for self-study by the practicing engineer or scientist. Even though the second edition of this book was published barely three years ago, based on the feedback received from professors who adopted this book for their courses and many readers, it became evident that a new edition was needed to incorporate the suggested changes to the contents. Three types changes were made to the manuscript: inclusion of a number of new topics, elimination of some topics, d a major reorganization of the materials. We believe the materials in each chapter are now organized ore logically. In addition more worked-out examples have been included to explain new and difficult concepts. One major change occurring in the third edition is the splitting of the chapter on transform-domain representations of discrete-time signals and systems into three chapters: one chapter on the discrete- time Fourier transform (DTFT) representation, a second one on the discrete Fourier transform (DFT) representation, and the third one on the z-transform representation. The chapter on discrete-time Fourier ansform representation also includes a brief review of the continuous-time Fourier transform (CTFT) representation of continuous-time signals and systems to point out the basic similarities and differences between the two transforms. The concept of the frequency response of a linear, time-invariant discrete- time system and its properties are discussed in this chapter. The chapter containing a discussion of the DFT includes a review of two other finite-length discrete transforms, namely, the discrete cosine transform (DCT) and the Haar transform. These two latter transforms are often used in signal compression. The concept of the transfer function of a linear, time-invariant discrete-time system is reviewed in the chapter on the z-transform representation. The second major change implemented in this edition is to cover the design of infinite impulse response (IIR) and finite impulse response (FIR) digital filters in two separate chapters. The third major change involves the splitting of the chapter on multirate digital signal processing into two chapters. The first chapter covers a discussion on fundamental concepts of multirate digital signal processing, while the