ROBUST IMAGE TRANSMISSION USING SPIHT AND TURBOCODES
This work describes a method for providing robustness to errors from a binary symmetric channel for the SPIHT image compression. The source rate and channel rate are jointly optimized by a stream of fixed-size channel packets. Punctured turbo codes are used for the channel coding, providing stronger error protection than previously available codes. We use a subset of the puncturing patterns that are well chosen and that leads to the best source rate. The rate allocation scheme presented obtains all necessary information from the SPIHT encoder, and does not require image decompression.
The agent-oriented software engineering methodology Troposoffers a structured development process and supporting tools fordeveloping complex, distributed systems. ::: ::: The objective of this paper is twofold: first, to illustrate the use ofTropos to develop a Multi-Agent System, performing basic analysis anddesign activities, code generation and testing, with the support of a setof tools; second, to enable the comparison with other, tool-supported,agent-oriented software engineering methodologies through a descriptionof the main steps of these activities and of excerpts of the resultingartefacts, with reference to a common case study, namely, the ConferenceManagement System case study.