Real-Time Digital Signal Processing: Implementations and Applications, Second Edition

Real-time Digital Signal Processing: Implementations and Applications has been completely updated and revised for the 2nd edition and remains the only book on DSP to provide an overview of DSP theory and programming with hands-on experiments using MATLAB, C and the newest fixed-point processors from Texas Instruments (TI). Content: Chapter 1 Introduction to Real?Time Digital Signal Processing (pages 1–47): Chapter 2 Introduction to TMS320C55x Digital Signal Processor (pages 49–119): Chapter 3 DSP Fundamentals and Implementation Considerations (pages 121–183): Chapter 4 Design and Implementation of FIR Filters (pages 185–247): Chapter 5 Design and Implementation of IIR Filters (pages 249–302): Chapter 6 Frequency Analysis and Fast Fourier Transform (pages 303–350): Chapter 7 Adaptive Filtering (pages 351–399): Chapter 8 Digital Signal Generators (pages 401–419): Chapter 9 Dual?Tone Multifrequency Detection (pages 421–442): Chapter 10 Adaptive Echo Cancelation (pages 443–473): Chapter 11 Speech?Coding Techniques (pages 475–508): Chapter 12 Speech Enhancement Techniques (pages 509–529): Chapter 13 Audio Signal Processing (pages 531–554): Chapter 14 Channel Coding Techniques (pages 555–577): Chapter 15 Introduction to Digital Image Processing (pages 579–626): "Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor." This book is a leading-edge resource for electrical and computer engineering students taking courses in digital signal processing who need up-to-date information on the technology. It is also a useful reference for practicing engineers and researchers involved in the creation of real-time DSP applications. Signals can be divided into three categories: continous-time (analog) signals, discrete-time signals, and digital signals.