搜索资源列表
mse
- 使用程序实现mse函数的三维设计实现，可以表现出不同的最小均方误差的各种情况
RMSE.MSE
- 小波去噪指标RMSE和MSE的代码，希望能给大家带来帮助
winmax802.16e细同步MSE对比仿真程序
- 基于winmax802.16e的细同步MSE对比仿真，涉及的算法有reddy算法，Azari算法meng算法，希望对大家有帮助！
image_processing_quantize.rar
- 图像处理功能：求the MSE/SNR/PSNR and the quantized image, the MSE/SNR/PSNR and the quantized image
MSE.rar
- mse mean square error ,mse mean square error
mse.rar
- 平均标准偏差，一个计算用的Matlab小程序，希望大家喜欢,The average standard deviation, a calculation using a small Matlab program, I hope everyone likes
psnr_nmse_rms.rar
- 通过matlab编写的几个关于PSNR、mse的图像处理的小程序。,Matlab prepared through a few on the PSNR, mse small image-processing procedures.
classification
- 多种实现三组数据集（iris测试数据）分类的算法实现（LMS、MSE、HK等。-several methods(LMS,MSE,HK) to achieve classification of three data set（iris data set).
mse
- 最小均方算法（MSE），来自阵列信号处理课本中-Least mean square (MSE), from the array signal processing textbooks
objective_evaluation
- 图像评价的几个标准，包括峰值信噪比，均方误差，平均绝对误差，图像保真度，信噪比的MATLAB代码，采用基本编程方法，适合初学者加深图像客观评价标准的理解。-Image evaluation of several criteria, including PSNR, MSE, mean absolute error, image fidelity, signal to noise ratio of the MATLAB code, using the basic programming for be
MSE_compare
- LS MSE CALC ofdm mse scheme
ls-mse
- 是一个关于LS算法和MSE算法的性能比较程序-About LS algorithm is an algorithm and the MSE performance comparison program
final
- achieving smallest MSE (in noise contamination)
MSE
- The calculation of MSE using matlab.just replace the matrix elements
MSE
- 基于MATLAB的信道估计LS代码 可运行-MATLAB-based channel estimation of the LS code can run
mse
- MSE mean square error of Two Digital Images
MSE
- mse算法的matlab仿真程序，包含LS_MSE_calc.m，MMSE_MSE_calc.m，SER_compare.m 文件-mse algorithm matlab simulation program, including LS_MSE_calc.m, MMSE_MSE_calc.m, SER_compare.m file
mse
- this compress program can be extracted to a text file that can be copied to mse.m. a matlab program that calculate the mean square eeror for video in the format of yuv such as the test sequence
MSE
- 多尺度样本熵，研究信号用的，基础知识，非常重要(MSE, Multi-scale sample entropy, the basic knowledge of signal research, is very important)