Welcome to the University of California, Santa Barbara Signal Compression Lab (SCL), located in Room 3166, Harold Frank Hall.

Overview

Research at SCL encompasses a variety of practical applications including speech and audio compression, voice over IP, video coding, video and audio networking (wired, wireless, heterogeneous), pattern recognition, and content based retrieval from databases.
 

    On the theoretical side, current research involves approaches founded on information theory and estimation theory to identify performance bounds and derive new algorithmic methodologies. Problem areas of interest include: rate-distortion theory, source-channel coding, scalable coding, distributed coding of correlated sources, pattern analysis and classification, bio-informatics, and sensor networks.
 

To find more about the various activities at SCL, please follow the links at the top of the page.

Recently concluded project:

Fast Search and Retrieval of High-Dimensional Data

       - sponsored by the National Science Foundation (NSF)

                                                       under grant IIS-0329267

NEWS!!  

The paper titled "A modified distortion metric for audio coding", by Vinay Melkote and Prof. Rose, awarded the Best Student Paper Award at IEEE ICASSP, 2009. (more...)

Dr. Aggarwal, Dr. Regunathan and Prof. Rose awarded the 2007 IEEE Signal Processing Society Best Paper Award (more...)

Prof. Gersho awarded the 2007 IEEE James L. Flanagan Speech and Audio Processing Award - "For contributions to the theory and application of speech coding" by the IEEE Board of Governors (more...)

Signal Compression Lab, Department of Electrical and Computer Engineering
University of California, Santa Barbara CA 93106