Description: 1. 视频数据读取，读取相邻两帧中的人眼最敏感的亮度数据。 2. 用后一帧的亮度矩阵减去前一帧亮度矩阵，计算出两帧的帧差。 3. 迭代计算出帧差中的噪声的均值和标准差。 4. 根据均值和标准差滤除噪声，得到变化区域。 5. 用数学形态学运算得到对象的最终模板。-1. Video data is read, read two adjacent eyes of the brightness of the most sensitive data. 2. After a brightness of the matrix before a less brightness matrix, calculated two frames worse. 3. Iterative Frame calculated the noise mean and the standard deviation. 4. According to the mean and standard deviation of filtering noise, changes to be regional. 5. Operators using mathematical morphology to be the ultimate target template. Platform: |
Size: 2539 |
Author:王斌 |
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Description: 1. 视频数据读取，读取相邻两帧中的人眼最敏感的亮度数据。 2. 用后一帧的亮度矩阵减去前一帧亮度矩阵，计算出两帧的帧差。 3. 迭代计算出帧差中的噪声的均值和标准差。 4. 根据均值和标准差滤除噪声，得到变化区域。 5. 用数学形态学运算得到对象的最终模板。-1. Video data is read, read two adjacent eyes of the brightness of the most sensitive data. 2. After a brightness of the matrix before a less brightness matrix, calculated two frames worse. 3. Iterative Frame calculated the noise mean and the standard deviation. 4. According to the mean and standard deviation of filtering noise, changes to be regional. 5. Operators using mathematical morphology to be the ultimate target template. Platform: |
Size: 2048 |
Author:王斌 |
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Description:
目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据,
对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。
ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。
trajectory.m产生理论的航迹，并绘出
Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计
filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线-target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve Platform: |
Size: 121856 |
Author:郭春吉 |
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Description: 图像融合评价程序，通过均值，标准偏差，熵，梯度，相关系数，光谱扭曲度等多个指标对融合图像进行评价比较。-image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the comparative images. Platform: |
Size: 1024 |
Author:feiyunsy |
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Description: 提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。-extract information based on the instan eous features : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised. Platform: |
Size: 7168 |
Author:谢灵心 |
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Description: 图像融合质量的标准差和信息熵的MATLAB代码,MATLAB代码-quality image fusion and the standard deviation of the information entropy MATLAB code, MATLAB code Platform: |
Size: 4096 |
Author:张无忌 |
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Description: LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.
ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.
Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China.
Inspired by the link:
http://bigwww.epfl.ch/demo/jlocalnormalization/
-LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.ln = localnormalize (IM, sigma1, sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Inspired by the link: http://bigwww.epfl.ch/demo/jlocalnormalization/ Platform: |
Size: 1024 |
Author:xj |
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Description: 我自己写的求二维矩阵的标准方差函数，因为本人毕设需要用到，可是在Matlab中我没有找到合适的函数，所以亲自写了一个，希望对一些朋友有用-I wrote it myself for two-dimensional matrix of standard deviation function, because I completed the set up needed, but in Matlab, I did not find a suitable function, so personally wrote a hope for some useful Friend Platform: |
Size: 2048 |
Author:limingxuananhui |
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Description: 随机共振相似度的Matlab计算程序，计算看出输入-输出的相似度S随着噪音的标准差的增大而不断得到改善，直到增大至一饱和值为止。-Stochastic resonance Matlab similarity calculation process, the calculation to see input- output of the similarity S as the standard deviation of the noise increases continue to improve until the saturation value increased to 1 so far. Platform: |
Size: 4096 |
Author:王清华 |
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Description: PRINCIPLE: Removal of the row mean from each row, followed by division of the row by the respective row standard deviation. Platform: |
Size: 1024 |
Author: |
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Description: 把地理区域分成一个个小区，蜂窝系统在该区域内提供无线覆盖。把可用的频谱分成很多信道，每个小区分配一组信道。使用频分双工（FDD）。在小区间进行频率利用，N个小区构成一个簇，簇间进行频率复用。定义了传播特性（信道参数）以及同频小区的位置。信道的参数包括：小区半径，路径损耗指数，以分贝为单位的对数正态阴影的标准差，基站发射功率级，移动台发射功率级，每个小区的扇区数，扇区化天线的正反向比，要仿真的瞬时位置的组数，同频干扰阈值。-To a geographical area is divided into small areas, cellular systems in the region to provide wireless coverage. The available spectrum is divided into multi-channel, each plot the distribution of a group of channels. The use of frequency division duplex (FDD). In the district between the frequency of use, N plots constitute a cluster, cluster between frequency reuse. The definition of the propagation characteristics (channel parameters), as well as with the frequency of residential location. Channel parameters include: cell radius, path loss index to decibels for units Lognormal shadow of the standard deviation, the base station transmitter power level, mobile station transmitting power level, the number of sectors in each district, sector of the antenna the pros and cons to the ratio, to the transient simulation of the group a few positions, the same frequency interference threshold. Platform: |
Size: 2048 |
Author:mame |
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Description: 这不是一个标准MATLAB的函数
H = hpfilter （类型，男，氮， D0 ， n ）的创建传递函数的高通滤波器，氢，指定的类型和大小MxN 。可能的值类型， D0和N是： 理想 理想高通滤波器的截止频率D0 。 Ifsupplied ， n是被忽略。 btw 巴特沃思高通滤波器
n阶和截止D0 。
gaussn 高斯高通滤波器的截止（标准偏差） D0 。
如果提供，正被忽略。 M和N应该是偶数的密度泛函过滤。-THIS IS NOT A STANDARD MATLAB FUNCTION
H = hpfilter (type,M,N,D0,n) creates the transfer function of a highpass filter, H, of the specified type and size MxN. Possible values for type, D0, and n are: ideal Ideal highpass filter with cutoff frequency D0. Ifsupplied, n is ignored. btw Butterworth highpass filter
of order n, and cutoff D0.
gaussn Gaussian highpass filter with cutoff (standard deviation)D0.
Platform: |
Size: 1024 |
Author:lql |
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Description: 用来描述融合图像的熵值，标准偏差以及标准差的评价程序。-Images used to describe the entropy of fusion values, standard deviation and standard deviation of the evaluation procedures. Platform: |
Size: 1024 |
Author:朱方圆 |
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Description: 产生高斯白噪声，标准差和期望都固定，如N=f（0.1，2），这种形式的，随机产生40个-Generated white Gaussian noise, standard deviation and expectations are fixed, such as N = f (0.1,2), this form of randomly generated 40 Platform: |
Size: 2048 |
Author:任鹏 |
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Description: 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 Platform: |
Size: 28672 |
Author:teagee |
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Description: Matlab codes for Robust PCA multivariate control chart-Robust PCA multivariate control chart mainly consists two steps:
Step1
Calculates the robust mean and the robust
covariance of original dataset using the
minimum covariance determinant (MCD).
In MCD technique, finding a subset
containing half of the data such that its
covariance matrix has the lowest determinant, then using this subset to
calculate the robust mean and the robust
covariance matrix (Hubert, Rousseeuw, &
Branden, 2005)
Step2
Standardize data using robust mean and
robust standard deviation from Step1.
Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and
A is p*p matrix of eigenvectors (also called principalcomponents) Platform: |
Size: 1024 |
Author:Jianxin Zhang |
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Description: INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE
Nsdcalc.m is a Matlab program for performing the image enhancement process
described in the accompanying paper. Place the program in your work directory
along with the demonstration data file grav.txt. At the Matlab prompt type
>> g=load( grav.txt )
-and you should see a variable called g which is 200x200 double precision
reals appear in the workspace. To filter this data type
>> f=nsdcalc(g,3,0)
which will calculate the standard deviation in a 3x3 window and apply
no prior smoothing. The results will then appear onscreen in a window.
You may need to adjust the histogram of the output for optimal display.-Nsdcalc is a Matlab program that performs normalised standard deviation analysis for edge enhancement of gravity and EM potential-field datasets Platform: |
Size: 172032 |
Author:蒋礼 |
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Description: 实验名称:投资组合分析
实验性质：综合性和研究探索性
实验目的：熟练运用投资组合工具箱，学会构造有效前沿组合的方法，掌握最优投资组合的计算方法；给出投资组合VaR 的值。
实验任务：选择股票并从万得下载数据，计算证券的预期收益率、标准差和协方差，设定一组约束条件，构造最优投资组合并计算该组合的Var值。
实验设备：计算机
实验软件：Matlab2013 Wind数据库
选择一组股票作为投资标的，构造投资组合，通过估计收益率均值、计算方差、协方差，计算该投资组合权重、在险价值、画出有效前沿。(Experimental Name: Portfolio Analysis
Experimental nature: comprehensiveness and research exploration
The purpose of the experiment is to skillfully use the portfolio toolbox, learn to construct effective frontier portfolio method, grasp the best investment portfolio calculation method, and give the value of portfolio VaR.
Experimental tasks: select stock and download data from Wan De, calculate the expected return, standard deviation and covariance of securities, set up a set of constraints, construct the optimal portfolio and calculate the Var value of the portfolio.
Experimental equipment: computer
Experimental software: Matlab2013 Wind database
A group of stocks is selected as investment target, and a portfolio is constructed. By estimating the mean value, variance and covariance of the yield, we calculate the portfolio weight, value at risk and draw effective frontier.) Platform: |
Size: 6060032 |
Author:waffle
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Search - standard deviation matlab