单片机与嵌入式系统应用2017，Vol.17Issue(2)：11-14,4.
基于FPGA的低秩矩阵恢复算法研究与应用
Research and Appl ication of Low Rank Matrix Recovery Algorithm Based on FPGA
沈镇 1柴志雷1
作者信息
- 1. 江南大学 物联网工程学院,无锡 214122
- 折叠
摘要
Abstract
The low rank matrix recovery algorithm mainly includes the robust principal component analysis,the matrix completion,the low rank representation.Because the matrix completion is a NP hard problem,the low rank said relates to the dictionary matrix,high complexity.Therefore,this paper mainly described the research and application of the robust principal component analysis in FPGA,and the CPU and FPGA image restoration is realized.The experimental results show that the speed of the design based on the FPGA HLS has been increased by tens of times compared to the traditional CPU.关键词
低秩矩阵恢复/鲁棒主成分分析/FPGA/HLSKey words
low-rank matrix recovery/robust principal component analysis/FPGA/HLS分类
信息技术与安全科学引用本文复制引用
沈镇,柴志雷..基于FPGA的低秩矩阵恢复算法研究与应用[J].单片机与嵌入式系统应用,2017,17(2):11-14,4.
