Product Description

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.

Written from a system level design perspective and with a DSP focus, the authors present many practical application examples of complex DSP implementation, involving:

* high–performance computing e.g. matrix operations such as matrix multiplication;

* high–speed filtering including finite impulse response (FIR) filters and wave digital filters (WDFs);

* adaptive filtering e.g. recursive least squares (RLS) filtering;

* transforms such as the fast Fourier transform (FFT).

FPGA–based Implementation of Signal Processing Systems is an important reference for practising engineers and researchers working on the design and development of DSP systems for radio, telecommunication, information, audio–visual and security applications. Senior level electrical and computer engineering graduates taking courses in signal processing or digital signal processing shall also find this volume of interest.

From the Back Cover

Field programmable gate arrays (FPGAs) are an increasingly popular implementation technology in a wide range of applications in engineering fields, including communications, information, security and measurement. This type of semiconductor device can be reprogrammed after manufacture, meaning that designers have the power to create circuit architectures to suit their needs and achieve high levels of performance for many digital signal processing (DSP) applications. This gives a considerable gain over conventional microprocessors and dedicated DSP processors, in producing efficient and sometimes low–cost, solutions for many complex DSP systems. However, the key challenge is to create this ‘circuit architecture’ and represents the main focus of this book.

This book describes the methods and current tools 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 on FPGA, system on chip (SoC) aspects, and future trends and challenges for FPGAs. This text details the automation of the techniques for component architectural synthesis, computational models, and the reduction of energy consumption to help improve FPGA performance.

With over thirty years of experience in the field, the authors present many practical application examples of complex DSP implementation for a number of systems, including electronic support measures (ESM) receivers, radar processing, speech compression, and adaptive beam forming. Written from a system level design perspective and with a DSP focus, the reader gains a better idea of the broad spectrum of system level issues involved. The book considers solutions for applications including:

* high–performance computing e.g. matrix operations such as matrix multiplication;

* high–speed filtering including finite impulse response (FIR) filters and wave digital filters (WDFs);

* adaptive filtering e.g. recursive least squares (RLS) filtering;

* speech compression specifically adaptive differential pulse coded modulation (ADPCM);

* transforms such as the fast Fourier transform (FFT).

FPGA–based Implementation of Signal Processing Systems is an important reference textbook for practising engineers and researchers working on the design and development of DSP systems for radio, telecommunication, information, audio–visual and security applications. Senior level electrical and computer engineering graduates taking courses in signal processing or digital signal processing shall also find this volume of interest.