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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.

Improving the Simulated Annealing Algorithm for the Index Assignment Method to Enhance the Robustness of Communication Systems