Considering the rapid evolution of digital signal processing (DSP), those studying this field require an easily understandable text that complements practical software and hardware applications with sufficient coverage of theory. Designed to keep pace with advancements in the field and elucidate lab work, Digital Signal Processing Laboratory,

Field Programmable Gate Arrays (FPGAs) are increasingly becoming the platform of choice to implement DSP algorithms. This book is designed to allow DSP students or DSP engineers to achieve FPGA implementation of DSP algorithms in a one-semester DSP laboratory course or in a short design cycle time based on the LabVIEW FPGA Module. Features: - The first DSP laboratory book that uses the FPGA platform instead of the DSP platform for implementation of DSP algorithms - Incorporating introductions to LabVIEW and VHDL - Lab experiments covering FPGA implementation of basic DSP topics including convolution, digital filtering, fixed-point data representation, adaptive filtering, frequency domain processing - Hardware FPGA implementation applications including wavelet transform, software-defined radio, and MP3 player - Website providing downloadable LabVIEW FPGA codes

DIGITAL SIGNAL PROCESSING LABORATORY USING MATLAB is intended for a computer-based DSP laboratory course that supplements a lecture course on Digital Signal Processing. The book can be used either as a stand-alone text or in conjunction with Mitra's Digital Signal Processing: A Computer-Based Approach. The book includes 11 laboratory exercises, with each exercise containing a number of projects to be carried out on a computer. The book assumes that the reader has no background in MATLAB and teaches the reader, through tested programs in the first half of the book, the basics of this powerful language in solving important problems in signal processing. In the second half of the book, the student is asked to write the necessary MATLAB programs to carry out the projects.

Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK Now in a new edition—the most comprehensive, hands-on introduction to digital signal processing The first edition of Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK is widely accepted as the most extensive text available on the hands-on teaching of Digital Signal Processing (DSP). Now, it has been fully updated in this valuable Second Edition to be compatible with the latest version (3.1) of Texas Instruments Code Composer Studio (CCS) development environment. Maintaining the original’s comprehensive, hands-on approach that has made it an instructor’s favorite, this new edition also features: Added program examples that illustrate DSP concepts in real-time and in the laboratory Expanded coverage of analog input and output New material on frame-based processing A revised chapter on IIR, which includes a number of floating-point example programs that explore IIR filters more comprehensively More extensive coverage of DSP/BIOS All programs listed in the text—plus additional applications—which are available on a companion website No other book provides such an extensive or comprehensive set of program examples to aid instructors in teaching DSP in a laboratory using audio frequency signals—making this an ideal text for DSP courses at the senior undergraduate and postgraduate levels. It also serves as a valuable resource for researchers, DSP developers, business managers, and technology solution providers who are looking for an overview and examples of DSP algorithms implemented using the TMS320C6713 and TMS320C6416 DSK.

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.

Utilizing classroom tested projects and exercises, this supplemental text and disk exposes advanced undergraduate and graduate students to digital signal processing (DSP) in a computer environment. These exercises and projects offer practical applications to real-world problems with easy modification to provide students with variety and fresh testing from year to year. The software is easy to use with an on-line help function which explains the usage of all DSP functions.

A mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction is provided by this book. The book covers various aspects of the digital signal processing (DSP) "problem". It begins with the analysis of discrete-time signals and explains sampling and the use of the discrete and fast Fourier transforms. The second part of the book — covering digital to analog and analog to digital conversion — provides a practical interlude in the mathematical content before Part III lays out a careful development of the Z-transform and the design and analysis of digital filters.