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Widrow-Hoff-Training-Method
DL : 0
The WH class is an implementation of the Widrow-Hoff. The Widrow-Hoff (WH) algorithm, often called Least Mean Square (LMS), is an online-algorithm. The WH can be interpreted as a gradient descent procedure on the error space. In other words, the WH tries to move in the direction in which the loss is descreasing the fastest.
Date
: 2026-01-01
Size
: 47kb
User
:
kader125
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LMS
DL : 0
LMS三角定位迭代加权算法 LMS三角定位迭代加权算法-LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm
Date
: 2026-01-01
Size
: 74kb
User
:
li
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LMS
DL : 0
利用LSM算法设计一个自适应滤波器,q阶FIR滤波器。先模拟生成信号,然后加高斯白噪声,再对其进行滤波处理。-Use LSM algorithm design an adaptive filter, q-order FIR filter. Generating the first analog signal, and then adding white Gaussian noise, then it is filtered.
Date
: 2026-01-01
Size
: 36.21mb
User
:
周思洁
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