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(Complete Item Description)
- Abstract:
Input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations. Sampling, discrete-time processing of continuous-time signals. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, and whitening filters. Detection; matched filters. Least-mean square error estimation; Wiener filtering.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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MIT OpenCourseWare
No Strings Attached

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(Complete Item Description)
- Abstract:
Many phenomena are modeled as continuous-time signals. The description and analysis uses functions of a real variable (often time or distance) and Fourier theory is used to give a frequency domain description. Wavelets are a modern tool for signal analysis.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
-
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