FPGA-based Implementation of Signal Processing Systems
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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.