6.341 Discrete-Time Signal Processing
Representation, analysis, and design of discrete time signals and systems. Decimation, interpolation, and sampling rate conversion. Noise shaping. Flowgraph structures for DT systems. IIR and FIR filter design techniques. Parametric signal modeling, linear prediction, and lattice filters. Discrete Fourier transform, DFT computation, and FFT algorithms. Spectral analysis, time-frequency analysis, relation to filter banks. Multirate signal processing, perfect reconstruction filter banks, and connection to wavelets.
This class has 6.011 as a prerequisite.
Lecture occurs 11:00 AM to 12:30 PM on Tuesdays and Thursdays in 32-124.
This class counts for a total of 12 credits.
You can find more information on MIT OpenCourseWare at the Discrete-Time Signal Processing site.
© Copyright 2015 Yasyf Mohamedali