Date: Apr. 29, 3:30 pm in 4610 Engineering Hall Title: Joint Source-Channel Matching for Wireless Image and Video Transmission Speaker: Douglas L. Jones Coordinated Science Laboratory University of Illinois Abstract: Recent research has demonstrated tremendous benefits in overall system performance from joint source-channel optimization for image and video transmission. However, application of joint source-channel matching in heterogeneous multi-media environments will demand general source-channel optimization schemes suitable for a wide variety of source coding standards, channel coders, and variable channel conditions. We develop a general approach for joint source-channel matching, based on a parametric distortion model, that can be easily applied to most classes of source and channel coders. Initial studies suggest that it may be possible to obtain nearly all of the benefits of joint source-channel optimization by matching existing source and channel coding standards using this simple and general approach.