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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Spring 2023 Biomedical Engineering E4420 section 001 SIGNAL MODELING | |
| Call Number | 12077 |
| Day & Time Location |
T 1:10pm-3:40pm 326 Uris Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Paul Sajda |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Fundamental concepts of signal processing in linear systems and stochastic processes. Estimation, detection and filtering methods applied to biomedical signals. Harmonic analysis, auto-regressive model, Wiener and Matched filters, linear discriminants, and independent components. Methods are developed to answer concrete questions on specific data sets in modalities such as ECG, EEG, MEG, Ultrasound. Lectures accompanied by data analysis assignments using MATLAB. |
| Web Site | Vergil |
| Department | Biomedical Engineering |
| Enrollment | 50 students (65 max) as of 9:10PM Wednesday, March 29, 2023 |
| Subject | Biomedical Engineering |
| Number | E4420 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate, GSAS |
| Campus | Morningside |
| Note | Open to SEAS non-BME students on January 17 |
| Section key | 20231BMEN4420E001 |
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