Channel code blocklength and rate optimization for progressive image transmission
نویسندگان
چکیده
We investigate the problem of selecting blocklength and code rate for progressive image transmission, motivated by turbo coding methods where performance improves with blocklength. The problem is to balance the tradeoff among error protection, source coding rate, and delay. We propose a general performance measure for evaluating progressive transmission and use dynamic programming to determine the channel code parameters based on the progressive performance. Performance results are provided for the evaluation of the gains over less complex methods as a function of channel error rate.
منابع مشابه
UNIVERSITY OF CALIFORNIA, SAN DIEGO Image and Video Transmission over Noisy Channels
OF THE DISSERTATION Image and Video Transmission over Noisy Channels by Xiaodong Tian Doctor of Philosophy in Electrical Engineering (Communications Theory and Systems) University of California, San Diego, 2005 Professor Kenneth Zeger, Chair This thesis studies how to effectively transmit images, video or generic types of sources over noisy channels. Source-channel coding methods such as rate a...
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