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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
Combines both the DSP principles and real-timeimplementations and applications, and now updated with the neweZdsp USB Stick, which is very low cost, portable and widelyemployed at many DSP labs. Real-Time Digital Signal Processing introducesfundamental digital signal processing (DSP) principles and will beupdated to include the latest DSP applications, introduce newsoftware development tools and adjust the software design processto reflect the latest advances in the field. In the 3rdedition of the book, the key aspect of hands-on experiments will beenhanced to make the DSP principles more interesting and directlyinteract with the real-world applications. All of the programs willbe carefully updated using the most recent version of softwaredevelopment tools and the new TMS320VC5505 eZdsp USB Stick forreal-time experiments. Due to its lower cost and portability, thenew software and hardware tools are now widely used in universitylabs and in commercial industrial companies to replace the olderand more expensive generation. The new edition will have a renewedfocus on real-time applications and will offer step-by-stephands-on experiments for a complete design cycle starting fromfloating-point C language program to fixed-point C implementation,code optimization using INTRINSICS, and mixed C-and-assemblyprogramming on fixed-point DSP processors. This new methodologyenables readers to concentrate on learning DSP fundamentals andinnovative applications by relaxing the intensive programmingefforts, namely, the traditional DSP assembly coding efforts. Thebook is organized into two parts; Part One introduces thedigital signal processing principles and theories, and PartTwo focuses on practical applications. The topics for theapplications are the extensions of the theories in Part One with anemphasis placed on the hands-on experiments, systematic design andimplementation approaches. The applications provided in the bookare carefully chosen to reflect current advances of DSP that are ofmost relevance for the intended readership. Combines both the DSP principles and real-time implementationsand applications using the new eZdsp USB Stick, which is very lowcost, portable and widely employed at many DSP labs is now used inthe new edition Places renewed emphasis on C-code experiments and reduces theexercises using assembly coding; effective use of C programming,fixed-point C code and INTRINSICS will become the main focus of thenew edition. Updates to application areas to reflect latest advances such asspeech coding techniques used for next generation networks (NGN),audio coding with surrounding sound, wideband speech codec (ITUG.722.2 Standard), fingerprint for image processing, and biomedicalsignal processing examples. Contains new addition of several projects that can be used assemester projects; as well as new many new real-time experimentsusing TI’s binary libraries – the experiments areprepared with flexible interface and modular for readers to adaptand modify to create other useful applications from the providedbasic programs. Consists of more MATLAB experiments, such as filter design,algorithm evaluation, proto-typing for C-code architecture, andsimulations to aid readers to learn DSP fundamentals. Includes supplementary material of program and data files forexamples, applications, and experiments hosted on a companionwebsite. A valuable resource for Postgraduate students enrolled on DSPcourses focused on DSP implementation & applications as well asSenior undergraduates studying DSP; engineers and programmers whoneed to learn and use DSP principles and development tools fortheir projects.
Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time–Frequency and Multirate Signal Processing.
Devices overview. Discrete signal and systems. Z transforms. The discrete Fourier transform. FIR and IIR filter design methods. Kalman filters. Implementation of digital control algorithms. Review of architectures. Microcontrollers. Systolic arrays. Case studies.
About the Book : - Digital Signal Processing Fundamentals Digital Signal Processing (DSP), as the term suggests, is the processing of signals using digital computers. These signals might be anything transferred from an analog domain to a digital form (e.g., temperature and pressure sensors, voices over a telephone, images from a camera, or data transmittal though computes). As a result, understanding the whole spectrum of DSP technology can be a daunting task for electrical engineering professionals and students alike. Digital Signal Processing Fundamentals provides a comprehensive look at DSP by introducing the important mathematical processes and then providing several application-specific tutorials for practicing the techniques learned. Beginning with general theory, including Fourier Analysis, the mathematics of complex numbers, Fourier transforms, differential equations, analog and digital filters, and much more; the book then delves into Matlab and Scilab tutorials with examples on solving practical engineering problems, followed by software applications on image processing and audio processing - complete with all the algorithms and source code. This is an invaluable resource for anyone seeking to understand how DSP works. Features: Provides a comprehensive overview and introduction of digital signal processing technology. Provides application with software algorithms Explains the concept of Nyquist frequency, orthogonal functions and method of finding Fourier coefficients Includes a CD-ROM with the source code for the projects plus Matlab and Scilab that generate graphs, figures in the book, and third party application software Discusses the techniques of digital filtering and windowing of input data, including: Butterwoth, Chebyshev, and elliptic filter formulation. Table Of Contents : Fourier Analysis Complex Number Arithmetic The Fourier Transform Solutions of Differential Equations Laplace Transforms and z-Tranforms Filter Design Digital Filters The FIR Filters Appendix A : Matlab Tutorial Appendix B : Scilab Tutorial Appendix C : Digital Filter Applications Appendix D : About the CD-ROM Appendix E : Software Licenses Appendix F : Bibliography Index About Author :- Ashfaq A. Khan (Baton Rouge, LA) is a senior software engineer for LIGO Livingston Observatory, with over 20 years of experience in system design. He has conducted several workshop and is the author of Practical Linux Programming: Device Drivers, Embedded Systems, and the Internet.
This cutting-edge book is a clear and thorough exposition of signal-processing fundamentals for communications and major sensing systems. Based on the author?
A best-seller in its print version, this comprehensive CD-ROM reference contains unique, fully searchable coverage of all major topics in digital signal processing (DSP), establishing an invaluable, time-saving resource for the engineering community. Its unique and broad scope includes contributions from all DSP specialties, including: telecommunications, computer engineering, acoustics, seismic data analysis, DSP software and hardware, image and video processing, remote sensing, multimedia applications, medical technology, radar and sonar applications

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