1. Fundamental Theory
Introduction to DSP architectures and programming Sampling Theory, Analog-to-Digital Converter (ADC), Digital-to- Analog Converter (DAC), and Quantization;
Decimation, Interpolation, Convolution, Simple Moving Average; Periodic Signals and harmonics; Fourier Transform (DFT/FFT), Spectral Analysis, and time/spectrum representations;
FIR and IIR Filters;

2. Design (Simulation) using MATLAB/ Simulink Simulate the lab exercises using MATLAB/Simulink

3. Implementation using pure DSP, pure FPGA and Hybrid DSP/FPGA platforms Digital Communications: On-Off- Keying (OOK), BPSK modulation, and a simple transceiver design Adaptive Filtering: Echo/Noise Cancellation, Least Mean Square (LMS) algorithm (2 weeks) Wireless Communications: Channel coding/decoding, Equalization, Simple Detection Algorithm, OFDM Speech Processing: Prediction Algorithms, Speech Classification and Synthesis