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
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)