FPGA-based Implementation of Signal Processing Systems
An important working resource for engineers and researchers involved in the design, development, and implementation of signal processing systems
The last decade has seen a rapid expansion of the use of field programmable gate arrays (FPGAs) for a wide range of applications beyond traditional digital signal processing (DSP) systems. Written by a team of experts working at the leading edge of FPGA research and development, this second edition of FPGA-based Implementation of Signal Processing Systems has been extensively updated and revised to reflect the latest iterations of FPGA theory, applications, and technology. Written from a system-level perspective, it features expert discussions of contemporary methods and tools used in the design, optimization and implementation of DSP systems using programmable FPGA hardware. And it provides a wealth of practical insights—along with illustrative case studies and timely real-world examples—of critical concern to engineers working in the design and development of DSP systems for radio, telecommunications, audio-visual, and security applications, as well as bioinformatics, Big Data applications, and more. Inside you will find up-to-date coverage of:
- FPGA solutions for Big Data Applications, especially as they apply to huge data sets
- The use of ARM processors in FPGAs and the transfer of FPGAs towards heterogeneous computing platforms
- The evolution of High Level Synthesis tools—including new sections on Xilinx's HLS Vivado tool flow and Altera's OpenCL approach
- Developments in Graphical Processing Units (GPUs), which are rapidly replacing more traditional DSP systems
FPGA-based Implementation of Signal Processing Systems, 2nd Edition is an indispensable guide for engineers and researchers involved in the design and development of both traditional and cutting-edge data and signal processing systems. Senior-level electrical and computer engineering graduates studying signal processing or digital signal processing also will find this volume of great interest.
Why Read This Book
You will learn how to turn DSP algorithms into high-performance, resource-efficient FPGA implementations from a system-level perspective, with contemporary methods and tool flows. This book blends theory, practical design patterns, and case studies so you can make informed trade-offs between throughput, latency, area and power when building real-world signal-processing systems.
Who Will Benefit
Engineers and researchers with some DSP and digital-design background who need to design, optimize, or deploy signal-processing systems on FPGAs and SoC FPGAs for commercial or research projects.
Level: Advanced — Prerequisites: Solid understanding of digital logic and synchronous design, basic signal-processing concepts (filters, FFTs), familiarity with an HDL (VHDL or Verilog) and simulation, and basic experience with MATLAB/Simulink or equivalent modeling tools.
Key Takeaways
- Map DSP algorithms to FPGA architectures and choose appropriate parallelism and pipelining strategies for target performance
- Design and optimize fixed-point arithmetic and numeric representations for area, accuracy, and power trade-offs
- Use modern FPGA design flows including vendor tools, simulation, synthesis, place-and-route, and high-level synthesis (HLS) where appropriate
- Integrate FPGA logic with embedded processors and peripherals (SoC FPGAs), including hardware/software co-design and interface considerations
- Apply implementation techniques for common DSP building blocks (filters, FFTs, multirate systems) and evaluate resource/latency/performance
- Plan verification, testing and deployment strategies for robust, real-world signal-processing systems (including partial reconfiguration and prototyping)
Topics Covered
- 1. Introduction to FPGA-based Signal Processing: trends and system-level view
- 2. FPGA Architectures and Design Primitives
- 3. Fixed-point Arithmetic, Number Formats and Error Analysis
- 4. Mapping Algorithms to Hardware: Parallelism and Pipelining
- 5. Common DSP Building Blocks: FIR/IIR Filters, FFTs, Multirate Systems
- 6. Hardware Description Languages and Modeling (VHDL/Verilog/SystemC) and MATLAB/Simulink integration
- 7. High-Level Synthesis and Algorithmic Transformation Techniques
- 8. Implementation Flows: Simulation, Synthesis, Place & Route, Timing Closure
- 9. Resource, Power and Performance Optimization Techniques
- 10. Embedded Processors, SoC FPGAs and Hardware/Software Co-design (e.g., Zynq-based systems)
- 11. I/O, Memory Interfaces and System Integration (PCIe, Ethernet, DRAM)
- 12. Verification, Testbench Strategies and Prototyping
- 13. Advanced Topics: Partial Reconfiguration, Heterogeneous Architectures, and Emerging FPGA Features
- 14. Case Studies and Real-World Applications
- 15. Future Directions in FPGA-based Signal Processing
Languages, Platforms & Tools
How It Compares
Compared with Pong P. Chu's FPGA prototyping guides (hands-on HDL tutorials), this book is more system-level and research-oriented; compared with Uwe Meyer‑Baese's DSP-on-FPGA texts, it places greater emphasis on modern tool flows, SoC integration and high-level synthesis.
