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ECE 513
Signal & Spectral Analysis
Credit: 4 hours.
(ECE 413) Fundamentals of linear least squares estimation of discrete-time signals and their spectra; minimum-norm least squares and total least squares solutions; singular value decomposition; Wiener and Kalman filtering; autoregressive spectral analysis; and the maximum entropy method. Prerequisite: ECE 410, 413, MATH 418 or equivalent; or consent of instructor
Section Information
| CRN | Type | Section | Time | Days | Location | Instructor |
| 41439 | lecture | D | 03:00 PM - 03:50 PM | MWF | room 170
Everitt Elec and Comp Engr Lab | Do, M |
Prerequisites: ECE 410, ECE 413, and Math 418; or equivalents; or consent of instructor.
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