2.161 Signal Processing: Continuous and Discrete (MIT)
2.161 Signal Processing: Continuous and Discrete (MIT) course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics covered include spectral analysis, filter design, system identification, and simulation in continuous and discrete-time domains. The emphasis is on practical problems with laboratory exercises.
- Source: Massachusetts Institute of Technology
- Language: English
- Author: Rowell, Derek
- Lisence Terms: Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm
- Tags: analysis and processing of experimental data; real-time experimental control methods; spectral analysis; filter design; system identification; simulation in continuous and discrete-time domains; MATLAB, fast Fourier transform, correlation function, sampling, op-amps, Chebyshev, Laplace transform, Butterworth, convolution, frequency response, windowing, low-pass, poles, zeros,
- Course Publishing Date: Apr 20, 2009
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