Subject:
Electrical & Computer Engineering (ECE)
Catalog number:
603
Unit weight:
0.50
Meet type:
LEC
Grading basis:
NUM
Cross-listing(s):
N/A
Requisites:
N/A
Description:
Optimum mininum mean-square error (MMSE) Wiener filtering. Parametric and non-parametric spectrum estimation. Eigenstructure-based frequency estimation. Statistical parameter estimation using maximum likelihood (ML), maximum a posteriori probability (MAP), minimum mean-square error (MMSE) and least squares (LS) methods. Adaptive signal processing using least-mean-squares (LMS) and recursive least-squares (RLS) approaches. Discrete-time Kalman filtering. Recommended background: ECE 316: Probability Theory/ECE 342: Signals and Systems/ECE413: Digital Signal Processing/ECE 604: Stochastic Processes.
Topic titles:
N/A
Faculty:
Engineering (ENG)
Academic level:
GRD
Course ID:
000765
