FPGA-based Implementation of Complex Signal Processing System

FPGA-based Implementation of Complex Signal Processing System

Field programmable gate arrays (FPGAs) are an increasingly popular technology for implementing digital signal processing (DSP) systems. By allowing
designers to create circuit architectures developed for the specific applications, high levels of performance can be achieved for many DSP  applications providing considerable improvements over conventional microprocessor and dedicated DSP processor solutions. The book addresses the
key issue in this process specifically, the methods and tools needed for the design, optimization and implementation of DSP systems in programmable FPGA hardware. It presents a review of the leading-edge techniques in this field,  analyzing advanced DSP-based design flows for both signal flow graph- (SFG-) based and dataflow-based implementation, system on chip (SoC) aspects, and
future trends and challenges for FPGAs. The automation of the techniques for component architectural synthesis, computational models, and the reduction of energy consumption to help improve FPGA performance, are given in detail.

Table Of Contents:
Ch. 1 Introduction to Field-Programmable Gate Arrays
Ch. 2 DSP Fundamentals
Ch. 3 Arithmetic Basics
Ch. 4 Technology Review
Ch. 5 Current FPGA Technologies
Ch. 6 Detailed FPGA Implementation Issues
Ch. 7 Rapid DSP System Design Tools and Processes for FPGA
Ch. 8 Architecture Derivation for FPGA-based DSP Systems
Ch. 9 The IRIS Behavioural Synthesis Tool
Ch. 10 Complex DSP Core Design for FPGA
Ch. 11 Model-Based Design for Heterogeneous FPGA
Ch. 12 Adaptive Beamformer Example
Ch. 13 Low Power FPGA Implementation
Ch. 14 Final Statements Index

Product Details:
    * ISBN: 0470030097
    * ISBN-13: 9780470030097
    * Format: Hardcover, 382pp
    * Publisher: Wiley, John & Sons, Incorporated
    * Pub. Date: December 2008

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Magnet

All-Digital Frequency Synthesizer in Deep-Submicron CMOS

A new and innovative paradigm for RF frequency synthesis and wireless transmitter design
Learn the techniques for designing and implementing an all-digital RF frequency synthesizer. In contrast to traditional RF techniques, this innovative book sets forth digitally intensive design techniques that lead the way to the development of low-cost, low-power, and highly integrated circuits for RF functions in deep submicron CMOS processes. Furthermore, the authors demonstrate how the architecture enables readers to integrate an RF front-end with the digital back-end onto a single silicon die using standard ASIC design flow.
Taking a bottom-up approach that progressively builds skills and knowledge, the book begins with an introduction to basic concepts of frequency synthesis and then guides the reader through an all-digital RF frequency synthesizer design:

• Chapter 2 presents a digitally controlled oscillator (DCO), which is the foundation of a novel architecture, and introduces a time-domain model used for analysis and VHDL simulation
• Chapter 3 adds a hierarchical layer of arithmetic abstraction to the DCO that makes it easier to operate algorithmically
• Chapter 4 builds a phase correction mechanism around the DCO such that the system's frequency drift or wander performance matches that of the stable external frequency reference
• Chapter 5 presents an application of the all-digital RF synthesizer
• Chapter 6 describes the behavioral modeling and simulation methodology used in design

The final chapter presents the implementation of a full transmitter and experimental results. The novel ideas presented here have been implemented and proven in two high-volume, commercial single-chip radios developed at Texas Instruments: Bluetooth and GSM.
While the focus of the book is on RF frequency synthesizer design, the techniques can be applied to the design of other digitally assisted analog circuits as well. This book is a must-read for students and engineers who want to learn a new paradigm for RF frequency synthesis and wireless transmitter design using digitally intensive design techniques.



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Algorithm Collections for DSP App. Using MatLAB

The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. Algorithm Collections for Digital Signal Processing Applications using MATLAB attempts to satisfy the above requirement. Also the algorithms are made clear using MATLAB programs.

Written for:

Beginners, research scholars, students who are doing research on practical applications of Digital Signal Processing using MATLAB

Keywords:

• Ant colony
• Gaussian Mixture Model
• Independent Component Analysis
• Particle swarm optimization
• Projections

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