Document Type
Thesis
Date of Award
5-31-1989
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical Engineering
First Advisor
Yeheskel Bar-Ness
Second Advisor
Ali N. Akansu
Third Advisor
Sol Rosenstark
Abstract
Compared with other data compression algorithms, the sliding dictionary is more practical for implementation in hardware. After a comprehensive study of the algorithm, an on line data compression scheme which uses AT&T DSP 32 Digital Signal Processor has been developed. Assembly language programs for encoder and decoder have been written and tested. The whole compression system has been simulated in a real-time environment and results have been obtained. A quantized coding scheme has been used to increase compression ratio. Separate assembly language programs have been written to implement the quantized coding scheme and tested. Results obtained from real-time simulation are presented.
Recommended Citation
Fang, Shu, "Implementation of the sliding dictionary data compression algorithm on an AT&T DSP 32 digital signal processor" (1989). Theses. 2752.
https://digitalcommons.njit.edu/theses/2752
