1. Chapter 15 Digital Signal Processing

2. Overview Typical DSP algorithms required by
Fourier transform (FFT)
Discrete cosine transform (DCT)
Wavelet transform
Digital filters
Digital up and down converter
FPGA technology supports the intellectual property
Complex math
Signal processing

3. Basic DSP System
Low pass filter

4. Essential DSP Terms Acronyms and specialized terms Accuracy
Complex math
DFT: Discrete Fourier Transform
DSP block (FPGA)

5. DSP Architecture
Many DSP algorithms repetitive use of the multiply and addition
MAC: Multiply and ACcumulate block
Parallel execution in DSP compoenets
Parallel execution in FPGA

6. When to use FPGAs for DSP
Performance improvements
Design implementation flexibility
Higher system-level integration
IP cores and blocks

7. FPGA DSP Design Consideration
Clocking and signal routing
Pipelining
Algorithm implementation choices
DSP intellectual property

8. Q & A