Matching pursuit and unification in EEG analysis
author:
Piotr Durka,
University of Warsaw
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| Slides | |
| 0:02 | Example Of Simple Simulated Signal pt 1 |
| 1:35 | Example Of Simple Simulated Signal pt 2 |
| 3:24 | Matching Pursuit And Unification In EEG Analysis |
| 3:59 | Adaptive Time-Frequency Approximations Of Signals |
| 6:34 | 70 Years Of Progress In Clinical Electroencephalography |
| 7:52 | Assessment Of Digital EEG, Quantitative EEG And EEG Brain Mapping |
| 8:35 | The Method pt 1 |
| 9:09 | Prototype Functions |
| 10:26 | The Method pt 2 |
| 10:32 | Optimal Selection Of Words |
| 11:50 | The Method pt 3 |
| 12:16 | Suboptimal, Iterative Solution: Matching Pursuit |
| 12:56 | Similar Functions From The Dictionary pt 1 |
| 13:37 | Similar Functions From The Dictionary pt 2 |
| 13:57 | Similar Functions From The Dictionary pt 3 |
| 14:02 | Wigner Transform |
| 15:25 | Example Of Simple Simulated Signal pt 2 (a) |
| 15:54 | Example Of Simple Simulated Signal pt 3 |
| 17:39 | Time-Frequency Result pt 1 |
| 18:31 | Sleep Analysis |
| 21:36 | Micro- And Macrostructure Of Sleep EEG pt 1 |
| 23:33 | Micro- And Macrostructure Of Sleep EEG pt 2 |
| 24:40 | Time-Frequency Map pt 1 |
| 27:58 | Time-Frequency Result pt 1 (a) |
| 28:24 | Time-Frequency Map pt 1 (a) |
| 29:06 | Time-Frequency Map pt 2 |
| 32:02 | A Howto pt 1 |
| 33:27 | Time-Frequency Map pt 2 (a) |
| 35:09 | Time-Frequency Map pt 3 |
| 35:15 | Time-Frequency Map pt 2 (b) |
| 35:19 | Time-Frequency Map pt 3 (a) |
| 35:35 | Time-Frequency Map pt 2 (c) |
| 35:36 | Time-Frequency Map pt 3 (b) |
| 35:54 | EEG Web Site |
| 35:57 | Time-Frequency Result pt 1 (b) |
| 36:09 | Time-Frequency Result pt 2 |
| 37:12 | Time-Frequency Result pt 3 |
| 38:04 | Time-Frequency Result pt 2 (a) |
| 38:22 | Time-Frequency Result pt 4 |
| 41:50 | Time-Frequency Map pt 4 |
| 42:41 | A Howto pt 2 |
| 42:50 | Time-Frequency Map pt 5 |
| 43:37 | Time-Frequency Map pt 6 |
| 47:06 | Finger Movement |
| 47:29 | Inverse And Interdisciplinary Problems: A Historical Example |
| 50:14 | EEG Inverse Solutions |
| 51:32 | LORETA pt 1 |
| 52:41 | LORETA pt 2 |
| 54:46 | Time-Frequency Result pt 3 (a) |
| 55:04 | MMP1: Constant Phase, Maximum Sum Of Energies |
| 55:32 | MMP2: Constant Phase, Maximum Sum Of Energies |
| 55:37 | MMP3: Constant Phase, Maximum Sum Of Energies |
| 56:01 | Multichannel MP Across The Trials |
| 57:05 | Time-Frequency Parametrization Of EEG |
| 58:10 | Series Of Spike-Wave Complexes |
| 58:49 | Tricks Necessary For A Working Implementation Of MP |
| 58:53 | Matching Pursuit And Unification In EEG Analysis |
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