Signal Transformation, Analysis and Compression Group

• Faculty
  Antonio Ortega

• Postdocs
  • Benjamin Girault

• 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

• MS Students

• Undergraduate Students

• PhD Alumni (with PhD Theses and current affiliation)

• Past Visitors and BS/MS students

• Publications

• New Publication page (incomplete)

• Publication Tools

• 2018 IEEE Data Science Workshop, Lausanne, Switzerland, June 2018

• National Academies Roundtable on Data Science Post-Secondary Education

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

• Old Projects

Software

• Public github repositories

• Fast JPEG Re-encoding ROMP

• Active Learning Using Sampling Theory of Graph Signals

• Graph Fourier Transform Interactive Graphical User Interface

• Genome Alteration Detection Analysis (GADA)

• Wavelet Filterbanks on Graphs

• Edge Aware Transforms (EAT) demo

• Wavelets on Trees

• SenZip (developed jointly with the USC Autonomous Networks Research Group, ANRG)