FPGA-based Implementation of Signal Processing Systems
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.
Why Read This Book
You should read this book if you need a practical, engineering-focused roadmap for taking DSP algorithms from models to high-performance FPGA implementations. It combines methodical design flows, optimization strategies, and hands-on case studies so you can see how architecture choices and tools affect performance, area, and power.
Who Will Benefit
FPGA/DSP engineers and system architects who already understand digital signal processing and HDL-based hardware design and want to design, optimize, and integrate real-world DSP systems on FPGAs or FPGA-based SoCs.
Level: Advanced — Prerequisites: Solid background in digital signal processing concepts, familiarity with HDL (VHDL or Verilog) and basic FPGA architecture, and experience with MATLAB/Simulink or equivalent modelling tools.
Key Takeaways
- Map signal-flow graph (SFG) and dataflow DSP descriptions into efficient FPGA architectures.
- Optimize fixed-point arithmetic, pipelining, and resource usage to meet throughput and latency targets.
- Apply FPGA-specific DSP techniques such as distributed arithmetic, streaming FFTs, and multirate filtering.
- Integrate DSP blocks into SoC flows and interface with embedded processors and memory subsystems.
- Use toolchains (MATLAB/Simulink, System Generator/DSP Builder, vendor tools) to automate parts of the FPGA DSP implementation.
- Evaluate trade-offs between area, power, precision, and performance using real case studies and benchmarks.
Topics Covered
- 1. Introduction: FPGA Technology and DSP Trends
- 2. Design Methodologies for FPGA-based DSP
- 3. Signal Flow Graph-Based Implementation Techniques
- 4. Dataflow Models and Their Hardware Mapping
- 5. Arithmetic and Fixed-Point Considerations
- 6. Implementing Filters: FIR, IIR, and Multirate Designs
- 7. FFTs, Transforms and Spectral Processing on FPGAs
- 8. Distributed Arithmetic and Resource-Efficient Structures
- 9. High-Level/Model-Based Design and Tool Flows (Simulink, System Generator)
- 10. System-on-Chip Integration and Embedded Processor Interfaces
- 11. Case Studies: End-to-End DSP Applications on Xilinx/Altera Devices
- 12. Performance Estimation, Testing, and Prototyping
Languages, Platforms & Tools
How It Compares
Covers similar DSP-on-FPGA ground to Uwe Meyer-Baese's 'Digital Signal Processing with Field Programmable Gate Arrays' but is an edited collection of focused techniques and case studies rather than a single-author tutorial; more practical/hands-on than general FPGA textbooks.
