Description: 这是在C5000系列DSP上实现自适应滤波器的源码，是用汇编语言编写的，可直接在CCS上运行-This is the C5000 Series DSP achieve adaptive filter source code, is written in assembly language and can be directly in the CCS run Platform: |
Size: 14336 |
Author:白冰 |
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Description: 基于LMS(最小均方误差算法)的自适应滤波的源程序，基于matlab-based on the LMS (minimum mean square error algorithm) adaptive filtering of the source, based on Matlab Platform: |
Size: 1024 |
Author:张义力 |
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Description: 内有多个m文件！希望能帮助到有需要的朋友！其中有几个关于lms的m文件！-m with a number of documents! Hope can help to the needy friends! While a few of the LMS m documents! Platform: |
Size: 14334976 |
Author:高永博 |
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Description: 一个讲解关于自适应滤波的ＰＰＴ ，其中包括LMS,RLD,和卡尔曼滤波的原理及应用环境。-on an adaptive filter on the PPT, including LMS, RLD. Kalman filtering and the principles and application environment. Platform: |
Size: 1516544 |
Author:付荣申 |
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Description: 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 imbalance in the various factors that Platform: |
Size: 1024 |
Author:yunguangmei |
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Description: 通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。
具体设计方案为：
1，生成标准正弦信号S
2，生成等长的随机信号N
3，生成加随机噪声的正弦信号X
4，X通过参数可调数字滤波器，输出Y
5，Y与参考信号作差得到误差E
6，E通过自适应算法调整权值W
7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise.
The specific design scheme is as follows:
1, generating a standard sinusoidal signal S
2, generating an equal length random signal N
3, generating a sinusoidal signal X with random noise
4, X can adjust the digital filter by parameter and output Y
5, the difference between the Y and the reference signal is E
6, E adjusts the weight W through the adaptive algorithm
7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.) Platform: |
Size: 1605632 |
Author:硕35687491 |
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Description: 实验31是观察不同的，修正步进U值对自适应均衡算法收敛的影响
实验311是验证，自适应均衡得到的均衡系数可用于这一时段的接受信号
的均衡（去噪、去信道干扰）。(Experiment 31 is to observe the effect of different stepped U on the convergence of adaptive equalization algorithm.
Experiment 311 is to verify that the equilibrium coefficient obtained from adaptive equalization can be used to receive signals at this time.) Platform: |
Size: 1024 |
Author:啦丿啦 |
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