Real-Time Digital Signal Processing

In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming. 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. Key features: * Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation. * Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing. * Introduces Texas Instrument's Code Composer Studio, and C5510 DSK hardware for DSP application development, evaluation, debugging and testing. * Examines the design and analysis of DSP algorithms using MATLAB Graphic User Interface (GUI) tools. * Tests and evaluates the DSP applications using MATLAB Link for CCS tools with C5510 DSK hardware. * Includes an accompanying CD with many MATLAB examples, C and C55xx programs for hands-on DSP experiments. This book is a valuable, 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 practising engineers and researchers involved in the creation of real-time DSP applications.