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Title: MMSE Receiver for DS-SS in AWGN Channel
Author: Panson Tantikovit
Summary: An adaptive receiver for DS-SS systems
MATLAB Release: R12.1
Required Products: Communications Toolbox,Signal Processing Blockset
Descr iption: This
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基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
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主动噪声控制的matlab仿真模型，使用了LMS滤波器,MATLAB simulink model of active noise cotnrol which applies LMS adaptive filter.
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自适均衡滤波器应算法程序，基于lms算法的，固定步长。-adaptive filter on lms
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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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对语音或图像信号加噪，然后自适应滤波恢复原来的信号。要求使用算法LMS 。-Voice or image of the noise signal, and then revert to the original adaptive filter signal. Require the use of algorithms LMS.
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lms算法 滤波器 解释及仿真 ，基于LMS算法自适应滤波器析-lms filter interpretation and simulation algorithm, based on the analysis of LMS adaptive filter algorithm
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基于Matlab的自适应滤波器的LMS算法-Matlab-based LMS adaptive filter algorithm
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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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基于DPS5402的自适应滤波器的设计,ti公司生产的5402芯片。FIR滤波器，lms算法实现自适应滤波-ti chips produced by 5402.FIR filter,lms adaptive filter algorithm
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lms adaptive filter for removing noise from speech
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lms adaptive filter for removing noise from speech
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lms filter for adaptive noise cancellation
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这是卡尔曼滤波的一个扩展形式，即自适应卡尔曼滤波，应用举例是变波长LMS自适应卡尔曼滤波算法-This is an extended Kalman filter forms, namely adaptive Kalman filtering, application example is the variable wavelength LMS adaptive Kalman filter algorithm
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This a simulation Adaptive Filter Lab-This is a simulation Adaptive Filter Lab
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lms filter
adaptive filter
for decrease noise
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自适应滤波器LMS算法包括SIMULINK模型及S函数的编写-LMS adaptive filter algorithm, including the preparation of the SIMULINK model and S function
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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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自适应滤波，语音信号处理，变换域lms算法，matlab(Adaptive filter, the speech signal processing, the transform domain LMS algorithm and matlab)
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