C Language Algorithms For Digital Signal Processing

Bring the power and flexibility of C++ to all your DSP applications The multimedia revolution has created hundreds of new uses for Digital Signal Processing, but most software guides have continued to focus on outdated languages such as FORTRAN and Pascal for managing new applications. Now C++ Algorithms for Digital Signal Processing applies object-oriented techniques to this growing field with software you can implement on your desktop PC. C++ Algorithms for Digital Signal Processing's programming methods can be used for applications as diverse as: Digital audio and video Speech and image processing Digital communications Radar, sonar, and ultrasound signal processing Complete coverage is provided, including: Overviews of DSP and C++ Hands-on study with dozens of exercises Extensive library of customizable source code Import and Export of Microsoft WAV and Matlab data files Multimedia professionals, managers, and even advanced hobbyists will appreciate C++ Algorithms for Digital Signal Processing as much as students, engineers, and programmers. It's the ideal bridge between programming and signal processing, and a valuable reference for experts in either field. Source code for all of the DSP programs and DSP data associated with the examples discussed in this book and Appendix B and the file README.TXT which provide more information about how to compile and run the programs can be downloaded from www.informit.com/title/9780131791442

Digital signal processing techniques have become the method of choice in signal processing as digital computers have increased in speed, convenience, and availability. At the same time, the C language is proving itself to be a valuable programming tool for real-time computationally intensive software tasks. This book is a complete guide to digital signal processing techniques in the C language. Covers the basic principles of digital signal processing and C programming. Introduces the basic real-time DSP programming techniques and typical programming environments which are used with DSP microprocessors. Covers the basic real-time filtering techniques which are the cornerstone of one-dimensional real-time digital signal processing. For electrical engineers and computer scientists. The CD contents are on the book's main web page -- www.informit.com/title/0133373533

This book explains how to write C programs that manipulate digital signal processors (DSPs). The availability of faster signal processing components can be programmed to perform a wide variety of functions with the handbook's advice. It offers step-by-step techniques covering: filtering routines, user interfaces and storage, discrete Fourier transforms, matrix and vector analysis, and more.

Intended to serve as the ideal tool to help develop efficient, compact, & accurate programs for use in a particular DSP applications.

A practical guide to using the TMS320C31 DSP Starter Kit With applications and demand for high-performing digital signalprocessors expanding rapidly, it is becoming increasingly importantfor today's students and practicing engineers to master real-timedigital signal processing (DSP) techniques. Digital Signal Processing: Laboratory Experiments Using C and theTMS320C31 DSK offers users a practical--and economicalm--approachto understanding DSP principles, designs, and applications.Demonstrating Texas Instruments' (TI) state-of-the-art, low-pricedDSP Starter Kit (DSK), this book clearly illustrates and integratespractical aspects of real-time DSP implementation techniques andcomplex DSP concepts into lab exercises and experiments. TI'sTMS320C31 digital signal processor provides substantial performancebenefits for designs that have floating-point capabilitiessupported by high-level language compilers. Most chapters begin with a theoretical discussion followed byrepresentative examples. With numerous programming examples usingTMS320C3x and C code included on disk, this easy-to-read text: * Covers DSK tools, the architecture, and instructions for theTMS320C31 processor * Illustrates input and output * Introduces the z-transform * Discusses finite impulse response (FIR) filters, including theeffect of window functions * Covers infinite impulse response (IIR) filters * Discusses the development and implementation of the fast Fouriertransform (FFT) * Examines utility of adaptive filters for differentapplications Bridging the gap between theory and application, this bookfurnishes a solid foundation for DSP lab or project design coursesfor students and serves as a welcome, practically oriented tutorialin the latest DSP techniques for working professionals.

Multimedia processing demands efficient programming in order to optimize functionality. Data, image, audio, and video processing, some or all of which are present in all electronic devices today, are complex programming environments. Optimized algorithms (step-by-step directions) are difficult to create but can make all the difference when developing a new application. This book discusses the most current algorithms available that will maximize your programming keeping in mind the memory and real-time constraints of the architecture with which you are working. A wide range of algorithms is covered detailing basic and advanced multimedia implementations, along with, cryptography, compression, and data error correction. The general implementation concepts can be integrated into many architectures that you find yourself working with on a specific project. Analog Devices' BlackFin technology is used for examples throughout the book. Discusses how to decrease algorithm development times to streamline your programming Covers all the latest algorithms needed for contrained systems Includes case studies on WiMAX, GPS, and portable media players

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).