Signal Transformation, Analysis and Compression Group

• Faculty
  Antonio Ortega

• Postdoc
  • Eduardo Pavez

• PhD Students
  • Ecem Bozkurt
  • Pratyusha Das
  • Johanna Garcia Cardona
  • Haoran Hong
  • Wenyang Lu
  • Ajinkya Jayawant
  • Sarath Shekkizhar
  • Shashank N. Sridhara

• MS Students

• Undergraduate Students
  • Nelson Gonzalez
  • Reshma Kopparapu
  • Enrique Perez
  • Premlatha Premkumar

• PhD Alumni (with PhD Theses and current affiliation)

• Past Visitors and BS/MS students

• Publications (out of date) please check Google Scholar page

• CoronaSurveys Project

• 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)