6.341 Discrete-Time Signal Processing


Class Info

Representation, analysis, and design of discrete time signals and systems. Decimation, interpolation, and sampling rate conversion. Noise shaping. Flowgraph structures for DT systems. Lattice filters. Time- and frequency-domain design techniques for IIR and FIR filters. Parametric signal modeling, linear prediction, and the relation to lattice filters. Discrete Fourier transform (DFT). Computation of the DFT including FFT algorithms. Short-time Fourier analysis and relation to filter banks. Multirate techniques. Perfect reconstruction filter banks and their relation to wavelets.

This class has 6.011 as a prerequisite.

6.341 will be offered this semester (Fall 2017). It is instructed by J. Ward.

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 or on the 6.341 Stellar site.

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