HST.582
Biomedical Signal and Image Processing
See description under subject 6.8800J.
Spring 2007
Topics
- Lecture 1: data acquisition
- Lecture 2: digital filtering
- Lab 0: fundamentals of MATLAB®
- Lecture 3: ECG
- Lecture 4: DTFT
- Lab 1A: ECG
- Lecture 5: DFT
- Lab 1B: ECG
- Lecture 6: sampling revisited
- Lecture 7: speech signals
- Lab 1C: ECG
- Lecture 8: speech coding
- Lecture 9: image processing I
- Lab 2A: speech coding
- Lecture 10: PDFs
- Lecture 11: classification
- Lab 2B: speech coding
- Lecture 12: image processing II
- Lab 2C: speech coding
- Lecture 13: estimating PDFs
- Lecture 14: segmentation
- Lab 3A: image segmentation
- Lecture 15: image registration I
- Lecture 16: image registration II
- Lab 3B: image segmentation
- Lecture 17: imaging modalities
- Lab 4A: image registration
- Lecture 18: random signals I
- Lecture 19: random signals II
- Lab 4B: image registration
- Lecture 20: blind source separation
- Lecture 21: MRI
- Lab 5A: blind source separation
- Lecture 22: surgical applications
- Lab 5B: blind source separation
- Lecture 23: random signals III
- Lecture 24: end-of-term wrap-up
Prerequisites & course information
Same subject as 6.8800J, 16.456[J] Subject meets with 6.8801J, HST.482[J] Prereq: ( 6.3700 and ( 2.004 , 6.3000 , 16.002 , or 18.085 )) or permission of instructor G (Spring) 3-1-8 units
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Spring 2007
- MIT OCW syllabus ↗
- MIT OCW calendar ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.