The suggested syllabi is a result of surveying more than 80
courses related to various aspects of pattern recognition over one
dimensional signals from more
than 70 universities worldwide. Three courses with different lengths
(short, medium and long) in two levels (undergraduate and postgraduate) are
suggested. Hopefully the presented modules help lectures to prepare suitable
course contents for the 1D pattern recognition course, more easily and faster.
| Overview Courses | Postgraduate Courses | |||||||
| Short | Medium | Long | Short | Medium | Long | |||
| Total Hours | 10 hrs | 20 hrs | 40 hrs | 10 hrs | 20 hrs | 40 hrs | ||
| 1. Introduction | 1 | 2 | 4 | 0 | 2 | 2 | ||
| 1-1.Fourier and Laplace transforms | 1 | 1 | 2 | 0 | 1 | 1 | ||
| 1-2.Basic Digital SP (sampling, filtering, ...) | 0 | 1 | 2 | 0 | 1 | 1 | ||
| 2. Representations | 3 | 5 | 8 | 2 | 3 | 7 | ||
| 2-1. Hidden Markov Models (HMMs) | 0 | 1 | 2 | 1 | 2 | 4 | ||
| 2-2. Finite State Automata | 1 | 2 | 3 | 0 | 0 | 1 | ||
| 2-3. Grammars | 2 | 2 | 3 | 1 | 1 | 2 | ||
| 3. Methods | 2 | 4 | 7 | 2 | 4 | 6 | ||
| 3-1. Parsing | 2 | 2 | 3 | 1 | 1 | 2 | ||
| 3-2. String Matching/Searching | 0 | 2 | 2 | 1 | 1 | 1 | ||
| 3-3. Unification | 0 | 0 | 2 | 0 | 2 | 3 | ||
| 4. Core Techniques | 2 | 5 | 13 | 3 | 7 | 15 | ||
| 4-1. Fourier Analysis and FFT | 1 | 2 | 4 | 1 | 2 | 4 | ||
| 4-2. Filtering and Z-transforms | 0 | 1 | 2 | 0 | 1 | 3 | ||
| 4-3. Cepstral Analysis | 0 | 0 | 3 | 1 | 2 | 4 | ||
| 4-4. Wavelets | 1 | 2 | 4 | 1 | 2 | 4 | ||
| 5. Applications | 2 | 4 | 8 | 3 | 4 | 10 | ||
| 5-1. Speech Understanding | 2 | 2 | 4 | 2 | 2 | 4 | ||
| 5-2. DNA/Protein/Amino Acid Seq. Match | 0 | 2 | 2 | 1 | 1 | 4 | ||
| 5-3. Biomedical Signal processing | 0 | 0 | 2 | 0 | 1 | 2 | ||
