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[Special EffectsObjectiveFidelityCriteria

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:

[Multimedia DevelopNew

Description: mehod of interpolation by bilinear,bicubic method, local histrogram,root mean square error,image negative
Platform: | Size: 3072 | Author: aaaa | Hits:

[Mathimatics-Numerical algorithmstwo_three_not_noise_RMSE_90_60

Description: 比较俯仰角度分别为60°,90°,以及极化参数为60°和90°时的三极子天线和两极子天线的均方根误差-Comparison of tilt angles of 60 °, 90 °, and the polarization of 60 ° and 90 °, three-pole antenna and polarization Antenna root mean square error
Platform: | Size: 2048 | Author: yangjinjin | Hits:

[Software EngineeringBaseAutopanoramareserch

Description: 别对两幅图像提取广义特征点后, 利用基于根均方误差和交叉相关的两级匹配算法完成同名控制点的建立。并以局部加权直线拟合方法来校正图像 的几何畸变。最后建立两幅图像之间的函数映射关系,完成图像的配准。实验结果证明了该方法的有效性。-Do the two images extracted generalized characteristic point, the root mean square error-based and cross-correlation of the two control point matching algorithm to complete the establishment of the same name. And to locally weighted linear fitting method to correct image distortion. Finally set up between the two images, the mapping function to complete the image registration. Experimental results show the effectiveness of the method.
Platform: | Size: 568320 | Author: 林杰 | Hits:

[Special Effectsrmse

Description: compute the root-mean-square error
Platform: | Size: 204800 | Author: chenyang | Hits:

[matlabRMSE

Description: To find the root mean square error of the calculated solution for a Stochastic Differential Equation (SDE) from Euler , Millstein, and Runge Kutta Method
Platform: | Size: 1024 | Author: Poetri | Hits:

[matlabtuxiangyasuo

Description: 利用Matalab软件分别编写子函数实现数字图像压缩及解压缩处理,并统计分析压缩处理算法所能够实现的压缩比及解压图像和原始图像间的均方根误差。-Functions were written by Matalab software for digital image compression and decompression processing, and statistical analysis of compression algorithms to achieve the compression ratio and decompression images and root mean square error between the original image.
Platform: | Size: 624640 | Author: zhang | Hits:

[matlabRMSE

Description: 通过matlab编写的几个关于PSNR、mse的图像处理的小程序,希望能对大家有所帮助。-root-mean-square error
Platform: | Size: 1024 | Author: 幽幽 | Hits:

[matlabmetrics

Description: code to calculate Root Mean Square Error and Mean Square Skill Score
Platform: | Size: 2048 | Author: dlo-brown | Hits:

[Special Effectsjunfanggenwucha

Description: 用maltab连续读取760张小鼠切片图像,并计算出配准前后两两图像间的均方根误差-With maltab read 760 consecutive image slices in mice, and calculate the alignment around the two root mean square error between the two images
Platform: | Size: 45056 | Author: 张雨雯 | Hits:

[Algorithmstatistic_errors

Description: 统计格点数据文件A和文件B中物理量间的相关系数,平均误差,均方根误差,绝对误差。-Statistics grid data file A and file B, the correlation between physical quantities, the average error, root mean square error, absolute error.
Platform: | Size: 1024 | Author: 石晓冚 | Hits:

[AI-NN-PRA-hybrid-least-squares

Description: A hybrid least squares support vector machines and GMDH approach for river fl ow forecasting-This paper proposes a novel hybrid forecasting model, which combines the group method of data handling (GMDH) and the least squares support vector machine (LSSVM), known as GLSSVM. The GMDH is used to determine the useful input vari- ables for LSSVM model and the LSSVM model which works as time series forecasting. 5 In this study the application of GLSSVM for monthly river fl ow forecasting of Selangor and Bernam River are investigated. The results of the proposed GLSSVM approach are compared with the conventional artifi cial neural network (ANN) models, Autoregres- sive Integrated Moving Average (ARIMA) model, GMDH and LSSVM models using the long term observations of monthly river fl ow discharge. The standard statistical, the 10 root mean square error (RMSE) and coe ffi cient of correlation (R) are employed to eval- uate the performance of various models developed. Experiment result indicates that the hybrid model was powerful tools to mo
Platform: | Size: 1467392 | Author: | Hits:

[Special Effectsimage_fusion_proforma_evalu_quality

Description: 这是从网上整理出来的图像融合评价标准,总共有13项性能指标。包括平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 performance indicators. Including the average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation. Exchange it with everyone ~
Platform: | Size: 8192 | Author: 海洋 | Hits:

[Special Effectsfusion-evaluation

Description: 图像融合中常用的评价指标(非常全面)如:平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。-Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index.
Platform: | Size: 9216 | Author: 杨哲辉 | Hits:

[matlabKalman_sd

Description: 卡尔曼滤波器相关的程序,对目标的速度均方根误差等进行了仿真-Kalman filter procedure, the speed of the target such as root mean square error simulation
Platform: | Size: 3072 | Author: xs | Hits:

[Special EffectsCG_SENSE_Cartesian_2

Description: 梯度SENSE算法恢复医学核磁共振图像,分析了不同降采因子根均方误差不同。-Gradient SENSE algorithm to restore the medical magnetic resonance images, analysis of the different drop mining factor of the root mean square error.
Platform: | Size: 2048 | Author: 任甜甜 | Hits:

[Software EngineeringBPSK_MUSIC_2D_3t

Description: 对2维doa进行估计,在不同的快拍数情况下,BPSK信号的经典MUSIC估计比单频信号的经典MUSIC估计方法均方根误差性能更好-On 2 d to estimate doa. In different fast take several cases, BPSK signal of classical MUSIC estimate than single frequency signal of the classical MUSIC estimation method root mean square error performance better.
Platform: | Size: 1024 | Author: xuhu | Hits:

[Software EngineeringNew-Folder-(4)

Description: In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Discrete Wavelet Transform (DWT) was implemented using MATLAB. Here nine samples of spoken words are collected from different speakers and are used for implementation. The results obtained from LPC were compared with other compression technique called Discrete Wavelet Transform. Finally the results were evaluated in terms of compressed ratio (CR), Peak signal-to-noise ratio (PSNR) and Normalized root-mean square error (NRMSE).The result shows that DWT performance was better for these samples than the LPC method.
Platform: | Size: 147456 | Author: Ambika | Hits:

[2D Graphicchengxu

Description: 求两幅存在一定位移或偏差的RGB图像的均方根误差MSE和峰值信噪比PSNR-Seeking two RGB images there is a certain displacement or deviation of the root mean square error (MSE) and peak signal to noise ratio PSNR
Platform: | Size: 1024 | Author: water wang | Hits:

[Communicationquzao

Description: 仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序,对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后,原信号的信噪比是负的,不知道为什么?均方根误差的值也比较大,不知何解?信噪比和均方根误差是参照《基于matlab的小波去噪仿真》:吴伟,《信息与电子工程》 一文写的-Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written
Platform: | Size: 32768 | Author: 鞠阳 | Hits:
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