vlsi digital signal processing systems design and implementation pdf

Vlsi digital signal processing systems design and implementation pdf

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Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing DSP and the attendant application-specific integrated circuits ASICs. As information-age industries constantly reinvent ASIC chips for lower power consumption and higher efficiency, there is a growing need for designers who are current and fluent in VLSI design methodologies for DSP.

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Open navigation menu. Close suggestions Search Search. User Settings. Skip carousel. Carousel Previous. Carousel Next. What is Scribd? Keshab K. Uploaded by gopalgenius. Document Information click to expand document information Date uploaded May 04, Did you find this document useful?

Is this content inappropriate? Report this Document. Flag for inappropriate content. Download now. Save Save Keshab K. For Later. Related titles. Carousel Previous Carousel Next. Electromagnetic Theory Objective Type Questions. Jump to Page. Search inside document. Systolic Array Design Methodology 7. Schur Algorithm Design Examples of Pipelined Lattice Filters Conclusions Problems References Redundant Arithmetic Theoretical Background Scaling Versus Power Consumption Evolution of Programmable Digital Signal Processors Processors for Multimedia Signal Processing These implementations must satisfy the enforced sampling rate con- straints of the real-time DSP applications and must require less space and power consumption.

This book addresses the methodologies needed to design custom or semni- custom VLSI circuits for these applications. Many of the techniques presented in the book are also applicable for faster implementations using off-the-shelf programmable digital signal processors. This book is also an excellent, reference for those involved in algorithm or architecture or circuit design for DSP applications. This book brings together the distinct fields of computer architecture the- ory and DSP.

DSP computation is different from general-purpose computation, in the sense that the DSP programs are nonterminating programs. The emphasis of this book is on design of efficient architectures, algorithms, and circuits, which can be operated with either less area or power consumption or with higher speed or lower roundoff noise.

The actual VLSI design of the circuits is not covered in this book. DSP algorithms are used in various real-time applications with different sampling rate requirements that can vary from about 20 KHz in speech ap- plications to over Milz in radar and high-definition television applica- tions.

The computation requirement of a video compression system for high- definition TV HDTV can range from 10 to gigaoperations per second. For example, in a speech application a time-multiplexed architecture may be preferred where many algorithm operations are mapped to the same hardware. However, the high-speed requirement, in video applications can bbe met by one-to-one mapping of algorithm operations to processors.

Thus it is important to study techniques to design not just a single architecture Dut a family of architectures out of which an appropriate architecture can be selected for a specified application. These transformations include pipelining, retiming, un- folding, folding, and systolic array design methodology.

The second part of the book chapters 8 to 12 deals with high-level algorithm transformations such as strength reduction, look-ahead and relaxed look-ahead. Look-ahead and re- laxed look-ahead transformations are applied to design pipelined direct-form and lattice recursive digital filters and adaptive digital filters, and parallel recursive digital filters. The third part of the book chapters 13 to 18 addresses architectures for VLSI addition, mul- tiplication, and digital filters, and issues related to high-performance VLSI system design such as pipelining styles, low-power design, and architectures for programmable digital signal processors.

Chapter 1 of the book reviews various DSP algorithms and addresses their representation using block diagrams, signal flow graphs, and data-flow graphs. In Chapter 3, the basic concepts of pipelining and parallel processing are reviewed and the use of these techniques in design of high-speed or low-power applications is demonstrated.

Chapter 4 addresses the retiming. Chay ter 5 addresses unfolding, which can be used to design parallel architectures. Chapters 6 and 7 address folding techniques used to design time-multiplexed architectures where area reduction is important, While Chapter 6 addresses folding of arbitrary data-low graphs, Chapter 7 addresses folding of regular data-flow graphs based on systolic design methodology. Chapters 8 to 12 address design of algorithm structures for various DSP algorithms based on algorithm transformations such as strength reduction, look-ahead and relaxed look-ahead, and scaling and roundoff noise in digital filters.

Chapter 8 addresses fast convolution based on Cook-Toom and Wino- grad convolution algorithms. In Chapter 9, algorithmic strength reduction is exploited to reduce the number of multiplication operations in parallel FIR filters, discrete cosine transforms, and parallel rank-order filters. Design of fast Fourier transform FFT structures is also based on strength reduction transformations but is not covered in this book since it is covered in many introductory DSP textbooks.

While itis easy to achieve pipelining and par- allel processing in nonrecursive computations, recursive and adaptive digital filters cannot be easily pipelined or processed in parallel due to the presence of feedback loops. In Chapter 10, the look-ahead technique is discussed and is, used to pipeline first-order infinite impulse response IIR digital filters.

For higher order filters, two types of look-ahead techniques, clustered and scat- tered look-ahead, are discussed. It is shown that the scattered look-ahead technique guarantees stability in pipelined IIR filters. Adaptive digital filters are pipelined based on relaxed look-ahead, which are based on certain ap- proximations or relaxations of look-ahead.

Chapter 11 addresses scaling and roundoff noise, which are important for VLSI implementations of DSP sys- tems using fixed-point arithmetic. Roundoff noise computation techniques cannot be applied to many digital filters. Lattice digital filters may be better suited for these applications due to their excellent roundoff noise property. Chapter 12 presents Schur polynomials, orthonormality of Schur polynomials, and use of these polynomials to design basic two multiplier and one multiplier , normalized, and scaled-normalized lattice digital filters.

Pipelined implementation of these lattice digital filters is also discussed. Chapters 13 to 18 address VLSI implementations of arithmetic operations.

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Parhi, Ph. Parhi s Education B. Since , he has held the title of "Edgar F. Johnson Professor" awarded by the College of Science and Engineering. He has held short term positions in several industries such as IBM T.

Keshab K. Parhi 58 Estimated H-index: View Paper. Add to Collection. Introduction to Digital Signal Processing Systems. Iteration Bound. Pipelining and Parallel Processing.

Course Syllabus. Course Objectives: The course will cover the most important methodologies for designing custom or semi-custom VLSI systems for some typical signal processing applications. General techniques covered include pipelining, retiming, folding and unfolding, and systolic array design. Course prerequisites: ENEE or equivalent and basic signal processing and graph-theoretic concepts. Prerequisite topics: Logic Design, computer architecture, VLSI design, and basic concepts in digital signal processing algorithms, graph theory, and combinatorial algorithms.


Introduction to Digital Signal Processing Systems. Iteration Bound. Pipelining and Parallel Processing. Retimi | Keshab K. Parhi |.


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Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing DSP and the attendant application-specific integrated circuits ASICs. As information-age industries constantly reinvent ASIC chips for lower power consumption and higher efficiency, there is a growing need for designers who are current and fluent in VLSI design methodologies for DSP. Based on Keshab Parhi's highly respected and popular graduate-level courses, this volume is destined to become the standard text and reference in the field. This text integrates VLSI architecture theory and algorithms, addresses various architectures at the implementation level, and presents several approaches to analysis, estimation, and reduction of power consumption. Throughout this book, Dr. He covers pipelining extensively as well as numerous other techniques, from parallel processing to scaling and roundoff noise computation.

Parhi vlsi digital signal processing systems. An invaluable reference and practical guide to vlsi digital signal processing. Vlsi digital signal processing systems design and implementation solution manual pdf.

Digital audio speech recognition cable modems radar high definition television these are but a few of the modern computer and communications applications relying on digital signal processing dsp and the attendant application specific integrated circuits. Vlsi digital signal processing systems design and implementation pdf.

VLSI Programming [2IN35]

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