This CD contains five appendices from the book and programs (MATLAB, Simulink, C, and TMS320C5000 assembly) with their associated data files.

Digital Signal Processing has undergone enormous growth in usage/implementation in the last 20 years and many engineering schools are now offering real-time DSP courses in their undergraduate curricula. Our everyday lives involve the use of DSP systems in things such as cell phones and high-speed modems; Texas Instruments has introduced the TMS320C6000 DSP processor family to meet the high performance demands of today's signal processing applications.This book provides the know-how for the implementation and optimization of computationally intensive signal processing algorithms on the Texas Instruments family of TMS320C6000 DSP processors. It is organized in such a way that it can be used as the textbook for DSP lab courses offered at many engineering schools or as a self-study/reference for those familiar with DSP but not this family of processors.This book provides a restructured, modified, and condensed version of the information in more than twenty TI manuals so that one can learn real-time DSP implementations on the C6000 family in a structured course, within one semester. Each chapter is followed by an appropriate lab exercise to provide the hands-on lab material for implementing appropriate signal processing functions. - Each chapter is followed by an appropriate lab exercise - Provides the hands-on lab material for implementing appropriate signal processing functions

This is the only book that offers a thorough treatment of the following: design and application of programmable digital signal processors; formal specification and optimization of signal processing architectures and circuits; high-level synthesis of DSP architectures and datapaths; detailed treatment of application-specific integrated circuits (ASICs); scheduling, allocation and assignment algorithms for multiple processor DSP systems; and hardware/software co-design issues in DSP. VLSI Digital Signal Processors: An Introduction to Rapid Prototyping and Design Synthesis provides a cohesive, quantitative and clear exposition of the implementation and prototyping of digital signal processing algorithms on programmable signal processors, parallel processing systems and application-specific ICs. Included are both programmable and dedicated digital signal processors, and discussions of the latest optimization methods and the use of computer-aided-design techniques.

8134H-5 The friendly, intuitive approach to microcontroller-based DSP! If you actually want to process signals -- not just theorize about digital signal processing -- this is the book for you. It's a friendly, informal guide to understanding -- and implementing -- digital signal processing with microcontrollers. You'll find enough theory to keep you on track (and a brief refresher on the basic math you'll need -- with no calculus!) But the focus is on real-world applications, especially specifying, designing, and implementing digital filters, and using fast Fourier transform. Coverage includes: The big picture: What DSP can and cannot do. Analog systems, signals and filters. Discrete-time signals and systems. FIR and IIR filters. Microcontroller filter implementation. Frequency analysis, correlation, sampling and signal synthesis. Digital Signal Processing and the Microcontroller includes extensive examples and assembler code based on Motorola's powerful 16-bit M68HC16 microcontroller -- and expert DSP insights you can use with any processor. Whether you have a formal electrical engineering background or not, it's all you need to get results with DSP fast. The accompanying website contains extensive source code for the MC68HC16 microcontroller, including assembler code for DSP filters and other applications; a complete set of MC68HC16 documentation in PDF format; MATLAB m-files for selected examples, and more.

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. - Covers all major DSP topics - Full of insider information and shortcuts - Basic techniques and algorithms explained without complex numbers

Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition: - MATLAB projects dealing with practical applications added throughout the book - New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field - New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals - All real-time C programs revised for the TMS320C6713 DSK - Covers DSP principles with emphasis on communications and control applications - Chapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problems - Website with MATLAB programs for simulation and C programs for real-time DSP

"Presents the latest developments in the prgramming and design of programmable digital signal processors (PDSPs) with very-long-instruction word (VLIW) architecture, algorithm formulation and implementation, and modern applications for multimedia processing, communications, and industrial control."

An engineer's introduction to concepts, algorithms, and advancements in Digital Signal Processing. This lucidly written resource makes extensive use of real-world examples as it covers all the important design and engineering references.

Get a working knowledge of digital signal processing for computer science applications The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in the field, providing computer professionals with a comprehensive introduction to those aspects of DSP essential for working on today's cutting-edge applications in speech compression and recognition and modem design. The author walks readers through a variety of advanced topics, clearly demonstrating how even such areas as spectral analysis, adaptive and nonlinear filtering, or communications and speech signal processing can be made readily accessible through clear presentations and a practical hands-on approach. In a light, reader-friendly style, Digital Signal Processing: A Computer Science Perspective provides: * A unified treatment of the theory and practice of DSP at a level sufficient for exploring the contemporary professional literature * Thorough coverage of the fundamental algorithms and structures needed for designing and coding DSP applications in a high level language * Detailed explanations of the principles of digital signal processors that will allow readers to investigate assembly languages of specific processors * A review of special algorithms used in several important areas of DSP, including speech compression/recognition and digital communications * More than 200 illustrations as well as an appendix containing the essential mathematical background

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).