| Time | Project |
|---|---|
|
9:10-9:32
|
Study of two-dimensional wavelets (Jessica Jimenez and Mathias Humbert) |
|
9:35-9:57
|
Sampling signals with a finite rate of innovation (Mehdi Malboubi and Arash Parsa) |
|
10:05-10:20
|
Random matrices, compressed sensing, sparsity (Barlas Oguz) |
|
10:25-10:40
|
Dantzig selector (Suman Ravuri) |
|
10:45-11:00
|
Compressed sensing in system identification (David Tung) |
|
11:05-11:20
|
Distributed sensing, approximation, and estimation (Naveen Goela) |
|
11:25-11:40
|
Compressed sensing (Frederick Chang) |
|
11:45-12:00
|
MUSIC for localization (Jerry Ding) |
|
12:30-12:52
|
Wiener system identification (Jared Wood and Michael Morimoto) |
|
12:55-1:10
|
Partial update adaptive filters (Shuwen Yu) |
|
1:15-1:30
|
When the Kalman filter breaks down (Karl Rohe) |
|
1:35-1:50
|
Sigma-point Kalman filtering (Brandon Basso) |
|
1:55-2:10
|
Particle filter and its applications to localization and motion tracking (Matthew Carlberg) |
|
2:15-2:30
|
Super-resolution through aliased sample sets (Ricardo Garcia) |
|
2:35-2:50
|
Survey of distributed detection (Nebojsa Milosavljevic) |
|
2:55-3:10
|
DNA sequence compression (Gireeja Ranade) |
|
3:15-3:30
|
Applications of signal processing to explore behavioral determinants of an endangered species (Alistair Boettiger) |