Difference between revisions of "Signal Transformation, Analysis and Compression Group"
From WikiBiron
(→Compression Research Group) |
m (→Compression Research Group) |
||
| Line 21: | Line 21: | ||
<li> [http://biron.usc.edu/wiki/index.php/Yenting Yen Ting (Greg) Lin] <i>, Waterflood tomography in Oil field </i> | <li> [http://biron.usc.edu/wiki/index.php/Yenting Yen Ting (Greg) Lin] <i>, Waterflood tomography in Oil field </i> | ||
<li> Amin Rezapour <i>, Waterflood optimization </i> | <li> Amin Rezapour <i>, Waterflood optimization </i> | ||
| − | <li> Lingyan Sheng <i> Classification tools for genomic data </i> | + | <li>[https://sites.google.com/site/lingyansheng/ Lingyan Sheng ] <i> Classification tools for genomic data </i> |
<li> [http://biron.usc.edu/~hsinyits/ Ivy H. Tseng] | <li> [http://biron.usc.edu/~hsinyits/ Ivy H. Tseng] | ||
<i>Distributed video coding, compression for speaker verification </i> | <i>Distributed video coding, compression for speaker verification </i> | ||
Revision as of 16:13, 26 January 2012
Compression Research Group
- Faculty
- Visitors
- PhD Students
- Sunil K. Narang Wavelet Transforms on Graphs
- Sungwon Lee Compressed Sensing with application-driven constraints
- Yen Ting (Greg) Lin , Waterflood tomography in Oil field
- Amin Rezapour , Waterflood optimization
- Lingyan Sheng Classification tools for genomic data
- Ivy H. Tseng Distributed video coding, compression for speaker verification
- Jason Tokayer Optical coherence tomography for glaucoma imaging
- MS Students
- Undergraduate Students
Projects
- Wavelet Filter-banks on Graphs.
- Application-specific compression
- Distributed Compression for Sensor Networks
- Multi-view video coding
- Error-tolerant compression
- Signal processing for oil field technology, part of CISOFT
- Analysis of network traces
- Analysis and classification of DNA micro-array data (GADA software)
- Ultra-Wideband Radio Communications lab
- Integrated Media Systems Center
- Multimedia compression
- Error Tolerant Computing
Software
- SenZip (developed jointly with the USC Autonomous Networks Research Group, ANRG)
