Difference between revisions of "Signal Transformation, Analysis and Compression Group"
From WikiBiron
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<li> Hilmi E. Egilmez <i>, Video over Wireless </i> | <li> Hilmi E. Egilmez <i>, Video over Wireless </i> | ||
<li> Akshay Gadde <i> Graph Signal Processing </i> | <li> Akshay Gadde <i> Graph Signal Processing </i> | ||
− | <li> [http://biron.usc.edu/wiki/index.php/ | + | <li> [http://biron.usc.edu/wiki/index.php/Sungwon_Lee Sungwon Lee] <i> Compressed Sensing with application-driven constraints </i> |
<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> |
Revision as of 19:36, 7 November 2012
Compression Research Group
- Faculty
- Postdocs
- Visitors
- PhD Students
- Yung-Hsuan Chao Graph-based Image Processing
- Hilmi E. Egilmez , Video over Wireless
- Akshay Gadde Graph Signal Processing
- 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
- Yongzhe Wang, 3D video coding
- MS Students
- Undergraduate Students
Projects
- Wavelet Filter-banks on Graphs.
- Edge-adaptive transforms for efficient depth map coding.
- 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)