Difference between revisions of "Signal Transformation, Analysis and Compression Group"
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== Software == | == Software == | ||
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| + | <li> [https://github.com/STAC-USC Public github repositories] | ||
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<ul> | <ul> | ||
<li> [http://biron.usc.edu/wiki/index.php/Active_Learning Active Learning Using Sampling Theory of Graph Signals] | <li> [http://biron.usc.edu/wiki/index.php/Active_Learning Active Learning Using Sampling Theory of Graph Signals] | ||
Revision as of 10:55, 16 November 2016
- Faculty
- Postdocs
- PhD Students
- Aamir Anis
- Yung-Hsuan Jessie Chao Graph-based Image Processing
- Hilmi E. Egilmez , Graph-based methods and their applications
- Akshay Gadde Graph Signal Processing
- Jiun-Yu Joanne Kao
- Eduardo Pavez
- Amin Rezapour , Waterflood Optimization
- MS Students
- Undergraduate Students
Projects
- Active Learning Using Sampling Theory of Graph Signals
- 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)
