Description: 此程序可实现基于LMS（最小均方误差算法）的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process Platform: |
Size: 1024 |
Author:尚云超 |
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Description: By building a nonlinear function relationship between an d the error signal，this paper presents a no—
vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．-By building a nonlinear function relationship between an d the error signal, this paper presents a no-vel variable step size LMS (Least Mean Square) adaptive filtering algorithm. Platform: |
Size: 3072 |
Author:上将 |
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Description: 一些数学处理函数，包括：用窗函数方法设计线性相位FIR数字滤波器、归一化最小均方(LMS)算法的自适应数字滤波器-Deal with some mathematical functions, including: window function designed with linear phase FIR digital filter, normalized least mean square (LMS) algorithm for adaptive digital filter Platform: |
Size: 4096 |
Author:chenjie |
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Description: 写了著名的最小均方准则下的自适应算法，在matlab环境下运行-Wrote a well-known least mean square criterion of the adaptive algorithm, running in matlab environment Platform: |
Size: 1024 |
Author:Wang Zhao |
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Description: This program simulates plant identification least mean square (NLMS) alogrithm
reference: 《LMS算法的频域快速实现》-This program simulates plant identification least mean square (NLMS) alogrithm reference: LMS algorithm for rapid realization of the frequency domain Platform: |
Size: 1024 |
Author:huangsir |
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Description: This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm
reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document-This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: LMS algorithm in frequency domain rapid LMS is modified by XXX in XXX place, see details in XXX relevant document Platform: |
Size: 2048 |
Author:huangsir |
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Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS
算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同
信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program. Platform: |
Size: 191488 |
Author:宋 |
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Description: this is a code for adaptive interfrence cancellation on a certain signal using the least mean square algorithm LMS using matlab.-this is a code for adaptive interfrence cancellation on a certain signal using the least mean square algorithm LMS using matlab. Platform: |
Size: 2048 |
Author:kareemelattar |
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Description: 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 the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation. Platform: |
Size: 1024 |
Author:杨思科 |
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Description: LMS(Least Mean Square)算法是一种应用最为广泛的最优化算法-LMS (Least Mean Square) algorithm is a most widely used optimization algorithm Platform: |
Size: 1024 |
Author:沈艺 |
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Description: 这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。-Here a novel adaptive noise cancellation method using normalized least mean square algorithm, collecting a variety of actual noise environment, the SNR of noisy speech samples for noise reduction, experimental results show that treatment After the signal to noise ratio was greater improvement in the level, greatly improved the listening results, with high intelligibility and naturalness of speech is good, no distortion and were compared with the spectral subtraction, adaptive noise cancellation law than the spectral subtraction noise reduction rate of a certain improvement in the listening results, and with the adaptive noise cancellation method in the treatment of voice clarity, naturalness is better than spectral subtraction. Platform: |
Size: 999424 |
Author:成龙 |
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