Title :
Approximation of the resource bounded complexity distortion function
Author :
Sow, Daby ; Eleftheriadis, Alexandros
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
Abstract :
This work addresses the coding of finite binary sequences with a finite amount of decoding computational resources. In this setting, we propose a general coding methodology and discuss its convergence properties
Keywords :
binary sequences; computational complexity; convergence of numerical methods; decoding; genetic algorithms; rate distortion theory; source coding; coding; computational resources; convergence properties; decoding; finite binary sequences; genetic algorithms; resource bounded complexity distortion function; time complexity; Binary sequences; Communication systems; Convergence; Decoding; Distortion measurement; Genetic algorithms; Genetic programming; Performance evaluation; Rate-distortion; Search problems;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866504