最近遇到了这个令人头疼的问题,文献中提到用theleast-mean-squareestimation方法估计参数,可是怎么都找不到相关的内容,大家帮帮忙给解决下吧!非常感谢!!2015/1012/bw281h2178870_1444650760_307.png|bcs|1文献中的相关陈述.png
aLMS(Least Mean Square) algorithm, based on minimum mean square error, has the advantages of simple structure, fast convergence and low computational complexity among many adaptive filtering algorithms. But along with the improvement of people's demand for communication quality, and no consideration on...
The most pervasive of these performance measures are based upon squared prediction errors, although the specific prediction error used in adaptation often depends upon the particular algorithm. Two broad categories of adaptive signal processing methods are: (1) stochastic and (2) exact. The latter ...
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The Least-Mean-Square (LMS) Algorithm 文档格式: .pdf 文档大小: 266.69K 文档页数: 12页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: 文档分类: 幼儿/小学教育--教育管理 文档标签: TheLeast-Mean-Square40LMS41Algorithm 系统标签:
The least mean square (LMS) algorithm is a type of filter used in machine learning that uses stochastic gradient descent in sophisticated ways – professionals describe it as an adaptive filter that helps to deal with signal processing in various ways. Advertisements Techopedia Explains Least Mean...
术语: Because the denominator of the F-ratio measures only random and unsystematic variability, it is called theerror term. 第六,深入F公式。 1. Each of the two variances in the F-ratio is calculated using the basic formula for sample variance. ...
Once all eight training patterns have been used, the first training iteration (or epoch) is complete and the next epoch can begin. Training will continue until the value of J reaches its specified cutoff or the root mean square error stored in the variable TrainError drops below the specified...
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