Research and realization of sliding DCT-LMS adaptive algorithm based on FPGA

GAO Hai-fei1; ZHANG Hao1; HOU Fu-cheng2; XIANG Yong-bo1

doi:10.13873/j.1000-97872012.05.020

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Research and realization of sliding DCT-LMS adaptive algorithm based on FPGA

更新时间：2025-09-11

- Research and realization of sliding DCT-LMS adaptive algorithm based on FPGA
- Vol. 31, Issue 5, Pages: 13-15+19(2012)
- 作者机构：
  
  1. 中国科学院微电子研究所
  2. 中国科学院苏州纳米技术与纳米仿生研究所
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.05.020
  CLC： TN911.7
- Published：2012
- 稿件说明：
移动端阅览
[1]高海飞,张浩,侯富诚,向永波.滑动DCT-LMS自适应算法研究与FPGA实现[J].传感器与微系统,2012,31(05):13-15+19.

GAO Hai-fei1, ZHANG Hao1, HOU Fu-cheng2, et al. Research and realization of sliding DCT-LMS adaptive algorithm based on FPGA[J]. 2012, 31(5): 13-15+19.
[1]高海飞,张浩,侯富诚,向永波.滑动DCT-LMS自适应算法研究与FPGA实现[J].传感器与微系统,2012,31(05):13-15+19. DOI： 10.13873/j.1000-97872012.05.020.

GAO Hai-fei1, ZHANG Hao1, HOU Fu-cheng2, et al. Research and realization of sliding DCT-LMS adaptive algorithm based on FPGA[J]. 2012, 31(5): 13-15+19. DOI： 10.13873/j.1000-97872012.05.020.

摘要

研究一种改进的低复杂度复数滑动离散余弦变换（DCT）最小均方（LMS）自适应算法

并设计该算法的FPGA实现结构。在常规LMS算法的输入端前添加改进的滑动DCT

降低输入信号之间的关联性

提高自适应算法收敛速度。改进的滑动DCT算法针对硬件实现进行了优化

提高其在硬件实现中稳定性和精度。给出算法在FPGA实现框图、结果和Matlab仿真结果的对比

以及算法在FPGA中的资源使用。算法已经在实际工程中应用

效果远优于常规LMS自适应算法。

Abstract

A low-complexity complex-valued sliding discrete cosine transform least-mean square（DCT-LMS） adaptive algorithm and its realization structure on field programmable gate array（FPGA） are researched.A revised sliding DCT is added in input port of conventional LMS algorithm to guarantee a fast convergence rate when relevance of input signals are reduced.The revised sliding DCT algorithm is optimized to improve stability and precision in hardware realization.The realization structure

result and the comparison with Matlab simulation result are presented.The resource utilization of the algorithm in FPGA is analyzed.The algorithm has been successfully used in practical engineering and its effect is better than conventional LMS adaptive algorithm.

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Keywords

references

Frequency-response-shaped LMS adaptive filter [J] . Osman Kukrer,Aykut Hocanin. Digital Signal Processing . 2006 (6)

Performance analysis of the DCT-LMS adaptive filtering algorithm [J] . Dai I. Kim,P.De Wilde. Signal Processing . 2000 (8)

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