Title :
Combined Power Allocation and Coding for Compressed Image Transmission
Author :
Sediq, Akram Bin ; El-Tarhuni, Mohammed
Author_Institution :
Dept. of Electr. Eng., American Univ. of Sharjah
Abstract :
In this paper, joint optimization of bit energy and coding is considered for improving the quality of compressed image transmission over wireless channels. The proposed scheme works iteratively to find the best combination of energy distribution among the transmitted bits as well as if coding should be used or not. The minimum mean-square error criterion is used in such optimization rather than the probability of bit error. Simulation results show that a significant gain in performance is achieved while reducing the peak-to-average power ratio and required bandwidth compared to the case of power optimization alone and coding alone, respectively
Keywords :
error statistics; image coding; least mean squares methods; visual communication; wireless channels; bit error probability; compressed image transmission; energy distribution; image coding; minimum mean-square error criterion; peak-to-average power ratio; power allocation; power optimization; wireless channels; Bandwidth; Binary phase shift keying; Channel coding; Image coding; Image communication; Land mobile radio; Peak to average power ratio; Power control; Streaming media; Wireless communication;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on
Conference_Location :
Helsinki
Print_ISBN :
1-4244-0329-4
Electronic_ISBN :
1-4244-0330-8
DOI :
10.1109/PIMRC.2006.253944
