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. 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.

6.341 will be offered this semester (Fall 2019). It is instructed by A. V. Oppenheim and 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.

MIT 6.341 Discrete-Time Signal Processing Related Textbooks
MIT 6.341 Discrete-Time Signal Processing On The Web
Discrete-Time Signal Processing
Tags
interpolation discrete time signals and systems discrete-time processing of continuous-time signals

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