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| 一种高精度的非平稳随机信号实时建模算法研究 | |
| 引用本文： | 王雪梅,倪文波,李芾. 一种高精度的非平稳随机信号实时建模算法研究[J]. 信号处理, 2006, 22(2): 198-202 |
| 作者姓名： | 王雪梅 倪文波 李芾 |
| 作者单位： | 1. 西南交通大学,机械工程学院,四川,成都,610031 2. 西南交通大学,牵引动力国家重点实验室,四川,成都,610031 |
| 基金项目： | 高等学校博士学科点专项科研项目 |
| 摘 要： | 针对传统的非平稳随机信号时变参数筹分模型算法的不足,论文把非平稳随机信号时变参数差分模型与一种带自适应遗忘因子的RLS算法结合起来,形成一种有效的非平稳随机信号实时建模算法,仿真分析表明该算法不仅能获得快的收敛速度而且能获得高的建模精度。 |
| 关 键 词： | 非平稳信号 实时建模 自适应遗忘因子 |
| 修稿时间： | 2004-09-20 |
Research About An High Accuracy Algorithm of Non-stationary Random Signals Timely Modeling |
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| Wang Xuemei,Ni Wenbo,Li Fu. Research About An High Accuracy Algorithm of Non-stationary Random Signals Timely Modeling[J]. Signal Processing(China), 2006, 22(2): 198-202 | |
| Authors: | Wang Xuemei Ni Wenbo Li Fu |
| Abstract: | In view of the disadvantages of traditional time-varying parameters differential modeling algorithm about non-stationary random signals, an effective modeling algorithm about non-stationary random signals is put forward, which combines the time - varying parameters differential model and a RLS algorithm with adaptive forgetting factors together. Simulations show that this algorithm not only can acquire quick rate of convergence, but also can obtain high modeling accuracy. |
| Keywords: | non-stationary random signal real time modeling adaptive forgetting factor |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |