会议专题

On-the-Fly and Memory-Scalable Implementation of Hierarchical Lapped Transforms with Minimum Memory Requirement

We propose an on-the-fly and memory-scalable implementation of Hierarchical Lapped Transforms (HLT) with minimum memory budget. Both the forward and inverse transforms have the advantages of low memory requirement unrelated to the length of the input signal. Experimental results suggest that the proposed algorithm outperforms the existing algorithms with respect to computation efficiency and memory requirement.

Index Terms—Lapped transform hierarchical lapped transform low memory implementation on-the-fly computation.

Jingxu Li Chunyuan Zhang Xiongming Zhang

Computer School National University of Defense Technology Changsha 410073, Hunan, China ATR Key Lab National University of Defense Technology Changsha 410073, Hunan, China

国际会议

2011 IEEE 3rd International Conference on Communication Software and Networks(2011第三届通信软件与网络国际会议 ICCSN2011)

西安

英文

491-495

2011-05-27(万方平台首次上网日期,不代表论文的发表时间)