1. College of Computer Science and Technology, Heilongjiang University Harbin, Hcilong, jiang 150080, China; 2. College of Computer Science and Technology, Harbin Engineering University Harbin, Hcilongjiaog 150001, China
Abstract:In order to improve the efficiency of constant grade compression method, the algorithm was optimized on the core algorithm time and frequency table space. Firstly, the base-data computing was optimized and the correlative formulas were deduced. Secondly, the experiments were conducted on 20 groups of balls and the different base-data computing methods were compared. Lastly, the frequency table space was optimized based on experiments. The results show that the proportion method can effectively improve base-data computing speed. In the subsection where contents are stochastic, more byte frequency times appear as the frequency gets closer to the average frequency. Due to the optimization based on this cha-racter, more storage space is saved, and the compression ratio is advanced. These optimization strategies promote the practical application of constant grade compression method.