22.518 Signal Proc Techniques

Signal Proc Techniques

Course Details
Min Credits 3
Max Credits 3
Course ID 3877
Status Active

The course covers analytical/numerical modeling and analysis of signal processing. The course topics include: Fourier Series, Linear Systems and Transfer Functions, Laplace Transforms, Analog filters, Fourier Transforms, Analog to Digital Conversion (A/D & D/A), Quantization, Sampling and Nyquist Theorem, Aliasing, Discrete Fourier Transform (DFT), Windowing & Leakage, FFT & STFT, Spectrograms, Spectral Analysis and Estimation, Convolution, ARMA processes, Correlation, Coherence, Kurtosis, Multi-rate filters and the Wavelet Transform , FIR & IIR Filters, Adaptive Filters, Signal Processing Hardware and Implementation.

Pre/Co-Requisites: Pre-Req: 22.451 Dynamic Systems Analysis (or equivalent)