Basic Information
Linear Systems and Their Applications, Including Filtering, Convolution and Transforms, Time-series Analysis and Prediction, Statistical Estimation, Including Maximum Likelihood and Map, And Basic Algorithms For Optimal Estimation, Outlier Detection And Robust Statistics in The Id Signal Processing Context, Feature Analysis and Dimenstionality Reduction, Such As Used in Shazam. Assignments and Projects Will Be Tailored to The Context of The Student's Degree Objective. Learning Outcomes# Upon Successful Completion of This Course, Students Be Able to Apply Signal Processing Techniques in The Design of Systems That Process Diverse Signal Input (acoustic, Image, and Other Physical Modalities).