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Lecture number
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Date
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Topics
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Lecture notes
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1
|
15.04.2013
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- Introduction
- Boundary conditions of the lecture
- Motivation for adaptive filtering with audio application examples
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Announcements
Lecture1
|
|
2
|
22.04.2013
|
- Signal properties
- Signal models
- Cost functions
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Lecture2
|
|
3
|
29.04.2013
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- Wiener filter
- Principle of orthogonality
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Lecture3
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|
4
|
06.05.2013
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- Linear prediction
- Yule-Walker equations
- Levinson-Durbin recursion
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Lecture 4 Part 1
Lecture 4 Part 2
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|
5
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13.05.2013
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- Application of linear prediction
- Redundancy reduction
- Spectral envelope estimation
- Parametric spectral estimation
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Lecture 5
|
|
6
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27.05.2013
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- Adaptive filters (part 1 of 3)
- Introduction
- RLS algorithm
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Lecture6
|
|
7
|
03.06.2013
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- Adaptive filters (part 2 of 3)
- LMS algorithm
- NLMS algorithm
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Lecture7
|
|
8
|
10.06.2013
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- Adaptive filters (part 3 of 3)
- Filtered x-LMS algorithm
- Affine projection (AF) algorithm
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Lecture8
|
|
9
|
17.06.2013
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- Filter design and control of adaptive filters
- System distance
- Optimum control parameters
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Lecture9
|
|
10
|
24.06.2013
|
- Kalman filter (part 1 of 2)
|
Lecture10
|
|
11
|
01.07.2013
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- Kalman filter (part 2 of 2)
| |
|
12
|
08.07.2013
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- Processing structures
- Frequency domain adaptive filtering
- Filterbank structures
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|
13
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15.07.2013
|
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