Description: LMS软件是用来进行自适应滤波的最小均方误差算法，稍加修改就可以用于自适应噪声对消，自适应信号分离、自适应陷波等。-LMS software is used for adaptive filtering the minimum mean square error algorithm, slight modifications can be used for adaptive noise cancellation and adaptive signal separation, such as Adaptive Notch. Platform: |
Size: 23552 |
Author:金星 |
Hits:
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 |
Hits:
Description: Comparison of the performances of the LS and the MMSE channel estimators
for a 64 sub carrier OFDM system based on the parameter of Mean square error Platform: |
Size: 3072 |
Author:guoyanpeng |
Hits:
Description: 最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。-Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation. Platform: |
Size: 3072 |
Author:闫丰 |
Hits:
Description: In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.-In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined. Platform: |
Size: 147456 |
Author:prasad |
Hits:
Description: 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 relationship between Platform: |
Size: 1024 |
Author:李伊 |
Hits:
Description: 本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。-Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. The procedure is a common procedure. Picture shows the preparation of the results of procedures. The use of the above criteria for the fidelity of calculated loss characteristics of visual information. Platform: |
Size: 95232 |
Author:jhm |
Hits:
Description: 采用最小均方准则误差的自适应滤波器，根据输入信号的统计特性自动调整其结构参数，以满足某种最佳准则的要求。-Guidelines for use of minimum mean-square error of the adaptive filter, according to statistical characteristics of the input signal automatically adjusting its structural parameters, in order to meet a best guidelines. Platform: |
Size: 10240 |
Author:韩一广 |
Hits:
Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. Platform: |
Size: 2048 |
Author:amr |
Hits:
Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. Platform: |
Size: 2048 |
Author:amr |
Hits:
Description: 求取图像信噪比 均方差 峰值信噪比 逼真度等的matlab 程序函数-Average Absolute Difference，Signal to Noise Ratio (dB)，Peak Signal to Noise Ratio (dB)，Image Fidelity，Mean Square Error，The difference between restoredimg entroy and originalimg，entroy Platform: |
Size: 2048 |
Author:david |
Hits:
Description: 利用图像处理工具箱实现均方误差（MSE）、峰值信噪比（PSNR）和熵的源代码-By image processing toolbox to achieve the mean square error (MSE), peak signal to noise ratio (PSNR) and the entropy of the source code Platform: |
Size: 2048 |
Author:xmzhang |
Hits:
Description: 几个关于图像质量评价的函数。包括psnr峰值信噪比，均方误差rms，正则均方误差nmse等。可用于去噪图像和压缩图像的质量评价-Several functions on the image quality evaluation. Including psnr PSNR, mean square error rms, is the mean square error nmse and so on. Can be used to image denoising and compression image quality evaluation Platform: |
Size: 1024 |
Author:whylychao |
Hits:
Description: An extension of the non local (NL) means is proposed for
images damaged by Poisson noise. The proposed method is
guided by the noisy image and a pre-filtered image and is
adapted to the statistics of Poisson noise. The influence of
both images can be tuned using two filtering parameters. We
propose an automatic setting to select these parameters based
on the minimization of the estimated risk (mean square error).
This selection uses an estimator of the MSE for NL means
with Poisson noise and Newton’s method to find the optimal
parameters in few iterations(An extension of the non local (NL) means is proposed for images damaged by Poisson noise.) Platform: |
Size: 453632 |
Author:金戈铁马1980
|
Hits:
Search - mean square error