Basic Information
Arrays and Spatial Filters, Beam Patterns, Uniform Linear Arrays, Array Performance Measures. Optimum Waveform Estimation (beamforming), Minimum Variance Distortionless Response (mvdr), Linearly Constrained Minimum Variance (lcmv) Generalized Sidelobe Cancellers (gsc), Maximum Snr, Broadband Beamformers. Adaptive Noise Cancellation. Source Separation and Signal Dereverberation. Source Localization, Direction of Arrival (doa) and Time Difference of Arrival (tdoa) Estimation. Learning Outcomes#at The End of The Course The Student Will Be Able To 1. Design an Optimum Beamformer For Spatial Filtering in Sensor Arrays. 2. Enhance and Extract Signals Received By Sensor Arrays. 3. Design an Lcmv Filter For Noise Reduction and Dereverberation. 4. Implement an Algorithm For Adaptive Noise Cancellation. 5. Implement an Algorithm For Source Separation and Signal Dereverberation. 6. Estimate Direction of Arrival and Time Difference Of Arrival.
Faculty: Electrical and Computer Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
(44198 - Intro. to Digital Signal Processing and 44202 - Random Signals)