| Recommended semester: 7th - 9th semester |
| Scope and form: Independent projects in groups of 2 students. |
Evaluation: Project report
Evaluation of report and poster presentation |
| Examination: 13-scale |
| Previous course: 04365 / C4235 |
| Prerequisites: Elementary Digital Signal Processing |
| No credit points with: 04365 / C4235 |
| Participant limitation: Max. 30 |
| Aim: To solve a signal processing problem related to current research topics. |
Contents: The course starts with lectures on current research subjects, e.g., prediction of time signals, neural networks, hidden Markov models, Bayesian signal detection, parametric spectral estimation, vector quantization, speech coding, noise reduction in speech signals, adaptive filters.
The participants carry out projects within the research subjects presented. |
| Remarks: This course and 02457 are advanced courses in digital signal processing. Basic courses are 02451 and 02453. The first lecture is announced at the department and in the course home page. |
Contact: Jan Larsen, building 321, (+45) 4525 3923, jl@imm.dtu.dk
Lars Kai Hansen, building 321, (+45) 4525 3889, lkh@imm.dtu.dk |
| Department: 002 Informatics and Mathematical Modelling |
| Course URL: http://www.imm.dtu.dk/courses/02455 |
| Keywords: signal processing, adaptive filters, speech technology, neural networks, Bayesian signal processing |
| Updated: 02-03-2001 |
