MECH.5180 Signal Proc Techniques (Formerly 22.518)

Id: 003877 Credits: 3-3

Description

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.

Prerequisites

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

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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.