Hardware and Software Design for QR Decomposition Recursive Least Square Algorithm

被引：0
|
作者：
Niu, Sufeng [1 ]
Wang, Sizhou [1 ]
Aslan, Semih [2 ]
Saniie, Jafar [1 ]
机构：
[1] IIT, Dept Elect & Comp Engn, Chicago, IL 60616 USA
[2] Texas State Univ, Ingram Sch Engn, STARS Lab, San Marcos, TX USA
来源：
2013 IEEE 56TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2013年
关键词：
Least square problem; QR decomposition; RLS; systolic; hardware and software;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an embedded hardware and software system design and implementation for QR Decomposition Recursive Least Square (QRD-RLS) algorithm using Givens Rotation are presented. Furthermore, hardware and software design optimization are introduced to the Givens Rotation-based method. The computation performance is compared for hardware implementation running on Xilinx Virtex-5 FPGA, and software design running on two different processors (Intel i7 processor and ARM embedded processor) for solving least square problems. The challenges for hardware optimization and software algorithm are also presented.
引用
收藏
页码：117 / 120
页数：4
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