Basic Information
Array Signal Processing in The Time and Frequency Domains, Subspace Methods, Beamforming, Performance Measures, Spatial Aliasing, Delay-and-sum, Superdirective, Null Steering, Minimum Variance Distortionless Response (mvdr), Linearly Constrained Minimum Variance (lcmv), Generalized Sidelobe Cancellers (gsc), Direction-of-arrival Estimation, Adaptive Beamforming, Differential Beamforming, Beampattern Design. Learning Outcomes# Students Who Will Successfully Complete The Course Will Be Able To# 1.implement Algorithms For Array Signal Enhancement in The Time And Frequency Domains. 2.design and Apply Optimum Beamformers For Spatial Filtering In Sensor Arrays.
Faculty: Electrical and Computer Engineering
|Graduate Studies
Pre-required courses
44198 - Intro. to Digital Signal Processing or 44202 - Random Signals
Semestrial Information
Weekly Hours
2 Academic Credit • 2 Lecture Hours
Responsible(s)
Israel Cohen
Registration Groups
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Weekly Hours
2 Academic Credit • 2 Lecture Hours
Responsible(s)
Israel Cohen
Registration Groups
|
|
Weekly Hours
2 Academic Credit • 2 Lecture Hours
Responsible(s)
Israel Cohen
Registration Groups
|
|