搜索资源列表
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3下载:
基于FPGA的自适应滤波器的实现。采用Verilog编程,2阶滤波器。-FPGA-based realization of the adaptive filter. Using Verilog programming, 2-order filter.
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LMS407自适应滤波器,用c编写,非常实用-LMS407 adaptive filter, using c prepared, very practical
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%% Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter
% This demonstration illustrates the application of adaptive filters to the
% attenuation of acoustic noise via active noise control.
- Active Noise Control Using a Filtered-X L
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采用一种快速收敛变步长LMS(Least mean square ) 自适应最小均方算法matlab源程序,其中算法所做的工作是用FIR 滤波器的预测系统,对IIR系统进行预测,如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is t
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LMS算法使用matlab语言实现仿真 用于自适应滤波器-LMS algorithm using matlab simulation language used to achieve adaptive filter
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System identification with adaptive filter using full and partial-update Least-Mean-Squares -System identification with adaptive filter using full and partial-update Least-Mean-Squares
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Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter.
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Noise cancelation using LMS Adaptive filter
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本程序利用自适应LMS算法实现FIR最佳维纳滤波器。可用于观察影响自适应LMS算法收敛性,收敛速度以及失调量的各种因素-This procedure using adaptive LMS algorithm is optimal FIR Wiener filter. Can be used to observe the impact of adaptive LMS algorithm convergence, convergence speed and the amount of imbalan
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本文件介绍采用最小均方算法的自适应横向滤波器,pdf文件内含有相应的MATLAB程序及仿真结果等。-This document describes the use of least mean square adaptive transversal filter algorithm, pdf file containing the appropriate procedures and simulation results of MATLAB.
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lms adaptive filter for removing noise from speech
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采用5416的DSP自适应滤波器。在CCS下编译、调试。-Adaptive filter using 5416 DSP. Under the CCS compiler, debugger.
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使用LMS算法实现的自适应滤波器范例,对一个加白噪声的正弦信号滤波。并且比较不同步长的滤波器的迭代次数。-LMS algorithm using adaptive filter example, a sinusoidal signal plus white noise filter. And less synchronized long filter iterations.
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the code contains adaptive filter using lms algorithm with zero mean and variance and it minimize the error and equals the output
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采用VHDL语言编写的fir级联结构的LMS自适应滤波器,方便学习研究自适应滤波器有关参数实际实现的影响-Using VHDL language fir cascade structure of LMS adaptive filter, adaptive filter to facilitate study and research the impact of the actual implementation of the relevant parameters
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使用自适应滤波器实现未知系统识别,里面包括
RLS法和LMS法-Unknown system using an adaptive filter to achieve recognition, which includes
RLS method and the LMS method
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System identification with adaptive filter using full and partial-update Least-Mean-Squares -System identification with adaptive filter using full and partial-update Least-Mean-Squares
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使用stm32制作的自适应滤波器,lms算法实现,c语言实现(Using STM32 to make adaptive filter, LMS algorithm, C language implementation)
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MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction.
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LMS Adaptive filter Using VSS
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