Improving the Simulated Annealing Algorithm for the Index Assignment Method to Enhance the Robustness of Communication Systems
Tran Ngoc Tuan, Nguyễn Quốc Trung · Research and Development on Information and Communication Technology · 2014
Iproving the performance of communication systems is one of the issues attracting the close attention by the researchers. Problems of improving the information systems are how to inherit the existing systems, in which only few modules will be upgraded without any effect over other modules and doing so will help to save expenses and has the high feasibility. In this article, we study the methods of optimizing the Index Assignment (IA), a joint source channel coding (JSCC) method to enhance the interference resistance of the communication systems. IA techniques have been effectively applied into communication systems using the vector quantization (VQ) technique, a widely-used lossly data compression technique for coding and transmitting high correlation signals such as speech, image and video [13]. We propose an improved algorithm based on Simulated Annealing (SA) algorithm to increase the speed and efficiency in optimizing the combination of source and channel coding of IA method. This has been proved by experiments.