搜索资源列表
Stroke-encoding
- 行程编码(RLE）,显示原始图像和经编码解码后的图像,显示压缩比,并计算均方根误差-Stroke encoding (RLE), the original image and the display image after encoding and decoding, the compression ratio of the display, and the root mean square error
PF-RMSE
- PF-RMSE 单变量非静态增长模型（UNGM模型）粒子滤波算法下，均方根误差分析仿真-Under PF-RMSE univariate non-static growth model (UNGM model) particle filter, root mean square error analysis and simulation
mse_snr
- 基于蒙洛特实验，通过不同的信噪比，得到信号比和均方根误差的实验结果。-Based on the Mengluote experiment, through different signal to noise ratio, experimental results are obtained to signal ratio and the root mean square error.
1
- 彩色图像分割，计算两图像的均方根误差并显示误差图像及其直方图；多边形顶点连接-Color image segmentation, calculate the root mean square error and display the image and histogram of the image Polygon vertices connected
three-layers-shot-record
- 实现了三层介质的地震记录，雷克子波，卷积，采用均方根速度计算。-Implementation of the earthquake record in three layer medium, Ricker wavelet, convolution, using the root mean square velocity calculation.
PARTICLE
- 粒子滤波 PF( Particle Filtering) 是在 贝叶斯滤波框架下基于 Monte Carlo 采样的统计滤波方法，可解 决非线性、非高斯的滤波问题，声源跟踪就属于这类问题。近年 来，基于粒子滤波的声源跟踪算法已成为研究的热点。 -he real acoustic data recorded in a typi- cal meeting room using a small-scale microphone array is used for tracking
image-quality-evaluation
- 该matlab代码主要用于计算图像的边缘强度，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。- calculate the uation average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square er
Point35wav
- 资源在VS2008 SP开发环境中实现了VC++对WAV格式音频文件RMS（Root Mean Square，dB计）的计算、调整，对你进行相关的音频信号的处理有一定的帮助。-Resources to achieve the VS2008 SP VC++ development environment of the calculation of WAV format audio files RMS (Root Mean Square, dB meter), the adjustment rela
Project-08-01
- Root-mean-square error and mean-square signal-to-noise ratio F(x,y) the original image , F’(x,y) the decompressed image , the original image change to JPG and then JPG change to Im. Observe to Error- ratio. - Root-mean-squ
roughness
- 微波遥感中，粗糙度参数均方根高度、相关长度计算公式代码-Microwave remote sensing, the parameters of the root mean square roughness height, correlation length calculation formula of the code
lolosys
- there is a simple positioning simulation of range measurement.it use root mean square method to do the positioning
thitasys
- there is a positioning code : using angle measurement to do the root mean square method. and the solution (position) will converge finally
lothita
- this a positioning algorithm of angle measurement and range measurement. Using root mean square.-this is a positioning algorithm of angle measurement and range measurement. Using root mean square.
rms
- Root mean Square module, can be synthesized to gates, 300 MHZ operating frequency. Test bench included
ImgCompare.sh.tar
- This bash scr ipt provides a way to identify similar photos (e.g. similar size, content, distribution ) and not exact duplicates. This is particularly helpful when training images for Machine Learning purposes. How it works: the scr ipt in
PSNR-MSE
- 图像处理中常用的算法，均方根误差和峰值信噪比的matlab代码-Image processing algorithms commonly used, the root mean square error and peak signal to noise ratio of the matlab code
Image_processing_quality_evluation
- 图像处理（图像融合，图像加密等）的性能评价指标集包括：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。-Image processing，average gradient, edge strength, information entropy, gray mean, standard deviation (variance (M
tongji
- 时域统计信息量，方差、均方根值、峭度因子、波形因子等-Time domain statistical information, variance, root mean square value, kurtosis factor, waveform factor, etc
image-fusion13
- 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。-This is sorted out the online image fusion uation criteria, there are a total of 13 performance indicators
PSO-SVM
- 利用PSO算法优化SVM向量机参数。测试指标为MAPE和均方根误差。-Optimization of SVM Parameters by PSO Algorithm. The test indexes are MAPE and root mean square error.