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Description: In almost all analyzes of the least mean-square (LMS)
finite impulse response (FIR) adaptive algorithm, it is assumed that
the length of the adaptive filter is equal to that of the unknown
system impulse response. However, in many practical situations,
a deficient length adaptive filter, whose length is less than that of
the unknown system, is employed, and analysis results for the sufficient
length LMS algorithm are not necessarily applicable to the
deficient length case.
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Author: behrouz |
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Description: This paper compares performance of nite impulse
response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation results, in terms of steady-state
mean-square estimation error (MSE) and average bit-error rate (BER) metrics, are found for the frequency selective Rayleigh fading wireless channel experienced in a mobile ad hoc network where nodes are lognormally shadowed from each other. For the nonstationary channel models considered, RLS is always found to outperform LMS.
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Author: almoudamer3 |
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Description: FIR 滤波器的自适应模拟，通过收敛性、学习曲线等方面对RLS 算法以及LMS 算法的不同特性进行了比较-FIR Filter simulation, through the convergence of the learning curve compared with the RLS algorithm, as well as the different characteristics of the LMS algorithm
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Author: katherine |
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Description: 基于DSP的自适应滤波器的设计，在CCS DSK C5000软件环境下，用C语言描述了自适应滤波器的结构。在TI公司的TMS320C54X系列的TMS320C5402芯片上，完成了基于LMS自适应算法的FIR横向滤波器的设计,并进行了模拟仿真，得出了正确的结果。仿真结果表明，应用LMS算法的自适应滤波器不仅可以实现对信号噪声的自适应滤除，还能用于系统识别。-The Design of Self-adaptive Filter Based on DSP，Under the circumstance of CCS DSK C5000 software, the adaptive filter is described and designed by C language. Ultimately the design of the LMS algorithm horizontal structural FIR filter is realized using TMS320C5402 device of TMS320C54X family of TI Company, the simulation is done and also the results is correct.
Results of simulation show that this kind of adaptive filter not only can be used to filter the signal noise, but also recognize the system.
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Author: 朱红 |
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Description: 在CCS DSK C5000软件环境下，用C语言描述了自适应滤波器的结构。在TI公司的TMS320C54X系列的TMS320C5402芯片上，完成了基于LMS自适应算法的FIR横向滤波器的设计,并进行了模拟仿真，得出了正确的结果。-Under the circumstance of CCS DSK C5000 software, the adaptive filter is described and designed by C language. Ultimately the design of the LMS algorithm horizontal structural FIR filter is realized using TMS320C5402 device of TMS320C54X family of TI Company, the simulation is done and also the results is correct.
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Size: 6144 |
Author: 朱红 |
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Description: 在CCS DSK C5000软件环境下，用C语言描述了自适应滤波器的结构。在TI公司的TMS320C54X系列的TMS320C5402芯片上，完成了基于LMS自适应算法的FIR横向滤波器的设计,并进行了模拟仿真，得出了正确的结果。-Under the circumstance of CCS DSK C5000 software, the adaptive filter is described and designed by C language. Ultimately the design of the LMS algorithm horizontal structural FIR filter is realized using TMS320C5402 device of TMS320C54X family of TI Company, the simulation is done and also the results is correct.
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Size: 4096 |
Author: 朱红 |
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Description: 运用自适应LMS 算法，，实现FIR最佳维纳滤波器。
-Use of the adaptive LMS algorithm to achieve optimal FIR Wiener filter.
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Size: 4096 |
Author: despise |
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Description: 利用lms算法，实现FIR滤波器对噪声的滤波。参数有滤波器抽头数、步长延迟间隔、 采样点数、采样间隔。输出无噪声、干扰、提取的信号波形-Use of the the lms algorithm to achieve the FIR filter for noise filtering. Parameters the number of filter taps, the delay interval of step, sampling points, sampling interval. Signal waveform output without noise, interference, extracted
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Size: 2048 |
Author: wangguangyu |
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Description: 一个实现LMS的自适应FIR滤波器的代码-An implementation of the LMS adaptive FIR filter code
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Size: 1024 |
Author: 叶海 |
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Description: 传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能：
1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线；
2） 给出了最陡下降法以及LMS算法的计算公式；
3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形；
4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线；
5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形；
6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线；
7）最终对结果进行了分析，具体见压缩包的word文档。
-Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:
A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve
2 ) gives the steepest descent method and the LMS algorithm formula
3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform
4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl
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Author: 邵曈 |
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Description: 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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Size: 2563072 |
Author: 朱岩 |
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Description: 图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应：
式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线):
1）横向/格-梯型结构LMS算法
2）横向/格-梯型结构RLS算法
并分析其结果。-Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response:
Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate):
1) landscape/grid- LMS algorithm ladder structure
2) landscape/grid- RLS algorithm ladder structure
And analyze the results.
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Size: 3072 |
Author: 李丽红 |
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Description: 自适应滤波LMS算法实现有源噪声消除：Mtalab程序；FLMS算法-Application Program to Test Active Noise Controla 32-tap adaptive FIR filter is used to produce an anti-noise to cancel the primary noise. The adaptive algorithms used here are the filtered-x LMS (FXLMS) and normalized FXLMS algorithms
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Author: 阿狸 |
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Description: Using LMS Algorithm, elimination random noise ECG signal. peak voltage of the signal is 3.5 millivolts and length of the ECG Signal is 2700. FIR system to be identified 31 order-Using LMS Algorithm, elimination random noise ECG signal. peak voltage of the signal is 3.5 millivolts and length of the ECG Signal is 2700. FIR system to be identified 31 order
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Size: 1024 |
Author: Alomgir |
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Description: 基于FIR滤波器的LMS自适应算法的FPGA实现-FIR filter based on LMS adaptive algorithm on FPGA
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Size: 5120 |
Author: 庄辉 |
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Description: this code consists of adaptive fir filter algorithm using LMS based approach.
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Size: 28672 |
Author: varalakshmi |
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Description: 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的-A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good
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Size: 94208 |
Author: Warwer |
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Description: 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的-A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good
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Size: 94208 |
Author: requesg |
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Description: 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的(A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good)
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Size: 94208 |
Author: MB%2D14558
|
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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.)
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Author: 硕35687491 |
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