Toon van Waterschoot [DSP-2 @ KU Leuven]

[Nederlands]

Course Info

Title: Digital Signal Processing-2 (DSP-2)
Instructors: Toon van Waterschoot (Lectures) and Peter Karsmakers (Lab Sessions)
Academic year: 2014-2015
Semester: 1
ECTS credits: 2.7
Evaluation: Exam (oral with written preparation)
Official KU Leuven course links:
- ECTS fiche
- Toledo webpage

Lecture Slides

Lecture 1: Finite word length
Lecture 2: Linear prediction [PDF, 3.6 MB]
Lecture 3: Optimal filtering [PDF, 4.6 MB]
Lecture 4: Adaptive filtering [PDF, 6.3 MB]
Lecture 5: Detection problems [PDF, 2.6 MB]
Lecture 6: Spectral analysis [PDF, 7.8 MB]
Lecture 7: Estimation problems 1 [PDF, 5.5 MB]
Lecture 8: Estimation problems 2 [PDF, 3.8 MB]
Lecture 9: Sigma-Delta Modulation
Lecture 10: Transform Coding

Recommended Literature

The lectures slides are based on the following book chapters, book sections, and articles. A detailed overview of which book chapter is related to which lecture is provided in one of the first slides of each lecture.

B. Porat, A Course in Digital Signal Processing, Wiley, 1997.
- Ch. 2, Section 2.9, "Discrete-Time Random Signals"
- Ch. 6, Section 6.1, "The Effect of Rectangular Windowing"
- Ch. 6, Section 6.2, "Windowing"
- Ch. 6, Section 6.3, "Common Windows"
- Ch. 6, Section 6.4, "Frequency Measurement"
- Ch. 13, Section 13.1, "Spectral Analysis of Random Signals"
- Ch. 13, Section 13.2, "Spectral Analysis by Smoothed Periodogram"
- Ch. 13, Section 13.4, "Rational Parametric Models of Random Signals"
T. Dutoit and F. Marques, Applied Signal Processing: A MATLAB-Based Proof of Concept, Springer, 2009.
- Ch. 1, "How is speech processed in a cell phone conversation?"
S. V. Vaseghi, Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications, Wiley, 2007.
- Ch. 7, Section 7.1, "Bayesian Estimation Theory: Basic Definitions"
- Ch. 7, Section 7.2, "Bayesian Estimation"
- Ch. 8, "Least Square Error, Wiener-Kolmogorov Filters"
- Ch. 9, Section 9.3, "Sample Adaptive Filters"
- Ch. 9, Section 9.4, "RLS Adaptive Filters"
- Ch. 9, Section 9.5, "The Steepest-Descent Method"
- Ch. 9, Section 9.6, "LMS Filter"
Toon van Waterschoot, Adaptive notch filters for acoustic feedback control," Course Notes Digital Signal Processing-2, KU Leuven, Faculty of Engineering Technology, Dept. ESAT, Oct. 2014.
H. C. So, "Comparison of various periodograms for sinusoid detection and frequency estimation," IEEE Trans. Aerospace Electron. Syst., vol. 35, no. 3, July 1999, pp. 945-952.
- Section 1, "Introduction"
- Section 2, "Single Tone Detection"
T. Fawcett, "An introduction to ROC analysis," Patt. Recognition Lett., vol. 27, 2006, pp. 861-874.
- Section 1, "Introduction"
- Section 2, "Classifier Performance"
- Section 3, "ROC Space"