LMS算法是一个搜索算法,假设w从某个给定的初始值开始迭代,逐渐使J(W)朝着最小的方向变化,直到达到一个值使J(w)收敛。考虑梯度下降算法(gradient descent algorithm),它通过给定的w值快速的执行如下的更新操作: 其中 为学习率(Learning rate)。 要对w更新,首先需要完成上面的求导,求导的结果参见下面的算法
LMS算法是一个搜索算法,假设w从某个给定的初始值开始迭代,逐渐使J(W)朝着最小的方向变化,直到达到一个值使J(w)收敛。考虑梯度下降算法(gradient descent algorithm),它通过给定的w值快速的执行如下的更新操作: 其中 为学习率(Learning rate)。 要对w更新,首先需要完成上面的求导,求导的结果参见下面的算法流程。
an improved variable step size LMS adaptive filtering algorithm is proposed to solve this contradiction.The methord is adopted that the step factor is used to realize variable step-size LMS The improved algorithm's step size establish a nonlinear function between the step size and the error signal...
关键词:自适应滤波器;LMS算法;DSP;FIR Realization ofAdaptiveFilter LMS Algorithm by DSP MA Jun,DUAN Xinwen,ZHAO Jianfei (Qinghai Normal University,Xining,810008,China) Abstract:Filter is widely used in digital signal processing.For the conventional filter has a fixed filter coefficients,optimal filterin...
LMS adaptive filter of the DSP to achieve Abstract The convergent speed and steady state error are affected bythe fixed step size and can notbe improved simultaneously in classical LMS algorithm. Therefore,to use it correctly in relevant fields, for this contradiction, after analyzing a variety of...
关键词:自适应滤波器;LMS算法;DSP;FIR 中图分类号:TN713 文献标识码:B 文章编号:1004—373X(2008)13—169—03 RealizationofAdaptiveFilterLMSAlgorithmbyDSP MAJun,DUANXinwen,ZHA0Jianfei (QinghaiNormalUniversity,Xining,810008,China) Abstract:Filteriswidelyusedindigitalsignalprocessing.Fortheconventionalfilterhasa...
Create a dsp.LMSFilter object to represent an adaptive filter that uses the LMS adaptive algorithm. Set the length of the adaptive filter to 13 taps and the step size to 0.8. Get mu = 0.8; lms = dsp.LMSFilter(13,'StepSize',mu) lms = dsp.LMSFilter with properties: Method: 'LMS'...
The adaptive filter algorithm. In this example, set the Method property of dsp.LMSFilter to 'LMS' to choose the LMS adaptive filter algorithm. An unknown system or process to adapt to. In this example, the filter designed by fircband is the unknown system. Appropriate input data to exercise...
Implementation of LMS Adaptive Equalizer Based on DSP Qin Wei (Shanxi Radio and Television Wireless Management Center, Shanxi 030001, China)Abstract In this paper, an adaptive equalizer based on LMS algorithm is realized by using TMS320VC5509A development board under time-varying channel environment....
自适应梯度算法AdaGrad(Adaptive Gradient Algorithm) 起源: AdaGrad(Adaptive Gradient Algorithm)起源于对深度学习训练过程中学习率自适应调整的需求。...定义: AdaGrad是一种自适应学习率的梯度下降优化算法。它通过累积参数梯度的历史信息来为每个参数自适应地调整学习率。原理:初始化:设置初始学习率。...优点:自适应...