搜索资源列表
wienerfilter
- 通过计算机MATLAB仿真分析和研究了维纳滤波器的阶数、信号的噪声方差、随机信号的采样点数、经过维纳滤波的均方误差之间的关系-MATLAB simulation by computer analysis and research of Wiener filter order, the signal of the noise variance, random signal sampling points, after Wiener filter mean square error of the r
experiment3
- 维纳噪声抑制 分辅助观测数据中漏入观测信号和不漏入观测信号两种情况讨论-Wiener noise suppression sub-assisted observational data leak into the observation signal and the signal does not leak into the observation to discuss two cases
FIR
- FIR Wiener Filter Applications: The following demos demonstrate the corresponding applications fir_f - FIR Wiener Filter fir_p - FIR Wiener Linear Predictor fir_nc - FIR Wiener Noise Cancellation -FIR Wiener Filter Applications: The fo
LMS9
- 基于LMS算法的自适应噪声消除仿真分析,内含详细的文档说明-LMS-based adaptive noise cancellation algorithm simulation analysis, contains a detailed documentation
SSSS
- 通过建立运动模糊数学模型, 进行了消除运动模糊的仿真实验, 维纳滤波恢复运动模糊图像效果较 好。在图像恢复技术中, 点扩展函数( PSF) 是影响图像恢复结果的关键因素, 所以常常利用先验知识和后验判 断方法估计PSF函数来恢复图像。实验表明在实际恢复过程中如果运动模糊图像混入了噪声, 必须考虑到信噪 比、噪声的自相关函数和原始图像的自相关函数对恢复后图像的影响。-Through the establishment of mathematical model of motion
Wiener
- 维纳率波器的仿真研究，一个做圆周运动的物体，经观测后有一定的误差和噪声影响，经维纳滤波后轨迹更加清-Wiener rate of wave device simulation, a circular motion of the object to do by observing the error and after some noise by Wiener filtering path is more clear
dsp3
- 维纳噪声抑制，设计p阶的最优FIR维纳滤波器，估计平均平方误差， 试针对p=12的情况，分别取几个不同的权值(如0.1, 0.5, 1.0)，研究这时的噪声抑制性能。-Wiener noise suppression, the optimal design of p-order FIR Wiener filter, estimated mean square error, try the case for p = 12, respectively, the right to take sever
Wienernoisesuppression
- 维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； -Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will fi
bianshi_wiener
- 接收信号为加噪声的QPSK信号，通过球的维纳解，实现系统辨识，达到滤波的目的。-Received signal is the QPSK signal plus noise, the Wiener solution through the ball, to achieve system identification, to achieve the purpose of filtering.
winer_filter
- wiener filtering.it can be used to remove noise(eg gaussian noise) from an image efficiently
wiener
- 应用维纳滤波法去噪，在图像的频率特征和附加噪声已知的情况下，采用wiener去卷积比较有效-Wiener filter denoising applications, the frequency characteristics of the image and additive noise of known cases, more effective use of wiener deconvolution
wiener
- 对加入不同方差高斯噪声的逆滤波与维纳滤波程序-Gaussian noise with different variance of the inverse filtering and Wiener filtering procedure
add_phase_noise
- 相位噪声的维纳建模，这是一个添加相位噪声的子程序-Wiener phase noise model, which is a subroutine to adding phase noise
Wiener
- 设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。-Design a Wiener filter (1) produces three sets of observations: Fi
Not-including-noise-in-ECG-signal
- 给模拟心电信号加高斯噪声，分别用切比雪夫滤波器，巴特沃斯滤波器，维纳滤波器对其消噪-To the analog ECG signal and Gauss noise, respectively using the Chebyshev filter, Butterworth filter, Wiener filter to the noise elimination
cp0202
- 设计一个一维wiener滤波器，并以平稳信号加噪为输入，得到该平稳信号的估计信号，并求出最小均方误差。-Design a one-dimensional wiener filter, and to smooth the input signal plus noise to get the estimated signal of the stationary signal, and find the minimum mean square error.
Wiener-filter
- 利用维纳滤波实现噪声中的语音信号恢复，产生chirp信号，噪声为高斯白噪声，噪声叠加在chirp信号上，构成观测信号x(n),使用编程方法实现使用维纳滤波滤除高斯噪声。-Wiener filtering the voice signal recovery in the noise generated chirp signal, the noise is Gaussian white noise, noise superimposed on the chirp signal, constitute
wiener-noise
- 利用维纳滤波消除一段语音信息的噪声，并对消除前后的频谱进行分析-Wiener filter to eliminate the noise of the period of the speech information, and the elimination of the spectrum before and after were analyzed
wiener
- wiener filter for noise cancellation
program
- 维纳噪声抑制；实验分析；实验结果及分析；利用信号之间的相关性进行信号估计，从而将噪声滤除-Wiener noise suppression Experimental analysis The experimental results and analysis Using the signal signal to estimate the association between, to filter out noise