BMEN8101
BMEN 8101 - Biomedical Digital Signal Processing (3 Cr.)
Department of Biomedical Engineering (11143)
TIOT - College of Science and Engineering
BMEN 8101 - Biomedical Digital Signal Processing (3 Cr.)
Course description
Signal processing theory for analyzing real world digital signals. Digital signal
processing and mathematically derived algorithms for analysis of stochastic signals. Spectral analyses, noise cancellation, optimal filtering, blind source separation, beamforming techniques.
prereq: [[MATH 2243 or MATH 2373], [MATH 2263 or MATH 2374]] or equiv
processing and mathematically derived algorithms for analysis of stochastic signals. Spectral analyses, noise cancellation, optimal filtering, blind source separation, beamforming techniques.
prereq: [[MATH 2243 or MATH 2373], [MATH 2263 or MATH 2374]] or equiv
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
AFV - A-F or Audit
Lecture
Requirements
000356
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring