| Recommended semester: 4th -7th semester |
| Scope and form: The activities alternate between lectures, problem classes and hands-on Matlab exercises. Further, a miniproject is accomplished. Exercises and mini project are carried out in teams of 2-3 students. |
Evaluation: Written exam and approval of reports
Written examination (2-hours) and approved exercises and miniproject. |
| Examination: 13-scale |
| Previous course: 04361 |
| Prerequisites: Advanced calculus and elementary statistics.Linear Systems and Signals and Elementary Statistics. |
| No credit points with: 04361. 04362 |
| Participant limitation: Min. 10 Max. 70 |
Aim: To provide the participants knowledge of
1) fundamental and widely applied digital signal processing methods;
2) Matlab as a tool for development of signal processing algorithms;
3) the application of digital signal processors (DSP) for implementation of real time algorithms.
The course thus enable the participants to construct a digital signal processing system. |
| Contents: Signals and systems, signals with finite energy and finite power; signal sampling and reconstruction; frequency analysis of signals; discrete Fourier transform and FFT; correlation, spectra and stochastic signals; multirate signal processing; linear prediction and the Wiener filter; adaptive FIR filters; mini project concerning real time algorithms. |
| Contact: Jan Larsen, building 321, (+45) 4525 3923, jl@imm.dtu.dk |
| Department: 002 Informatics and Mathematical Modelling |
| Course URL: http://www.imm.dtu.dk/courses/02451 |
| Keywords: Signal processing, adaptive filters, digital signal processor |
| Updated: 20-09-2001 |
