Rationale

Signal Recognition is a highly multi-disciplinary topic which is not covered in whole by any one course. This course describes commonalities among many real-world signal recognition and classification problems stemming from sources such as human biometrics, imaging, geophysics, machinery, electronics, genetics, networking, chemical plants, languages, communications, finance, etc. It introduces tools and algorithms derived from many different engineering disciplines to be able to fully address practical recognition and classification problems. The course is appropriate for graduate students in all engineering disciplines.