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nao_v80
- 非归零型差分相位调制信号建模与仿真分析 ，基于K均值的PSO聚类算法,光纤陀螺输出误差的allan方差分析。- NRZ type differential phase modulation signal modeling and simulation analysis, K-means clustering algorithm based on the PSO, allan FOG output error variance analysis.
gabor-master
- gaborfeatures提取输入图像的Gabor特征。 它创建一个列向量，包括输入的Gabor特征 图像。特征向量归零均值和单位方差。-GABORFEATURES extracts the Gabor features of an input image. It creates a column vector, consisting of the Gabor features of the input image. The feature vectors are
tcokzv681
- 该文件是产生两组随即的高斯分布系列,均值为0,均方差为N2,-This file is the series of two groups of random gaussian distribution, the mean to 0, mean square error as the N2,
inwxlxu9
- 该文件是产生两组随即的高斯分布系列,均值为0,均方差为N2,-This file is the series of two groups of random gaussian distribution, the mean to 0, mean square error as the N2,
fieer-see-aszociative
- 该文件是产生两组随即的高斯分布系列,均值为0,均方差为N2,-This file is the series of two groups of random gaussian distribution, the mean to 0, mean square error as the N2,
the
- 该文件是产生两组随即的高斯分布系列,均值为0,均方差为N2,-This file is the series of two groups of random gaussian distribution, the mean to 0, mean square error as the N2,
fial__the
- 该文件是产生两组随即的高斯分布系列,均值为0,均方差为N2,-This file is the series of two groups of random gaussian distribution, the mean to 0, mean square error as the N2,
新建 Microsoft Word 文档
- 现有某高度的测量误差均值为0，方差为1的高斯白噪声随机序列，通过卡尔曼滤波原理求该物体的初始高度和速度。(A Gauss white noise random sequence with a mean measurement error of 0 and a variance of 1 is obtained. The initial height and velocity of the object are calculated by the Calman filtering principl
PCA-matlab
- pca分析实例,将多维数据降成一维，包括数据处理，计算均值，方差等.(pca Learning materials)
数据处理
- 数据处理，线性系统误差，周期性系统误差，剩余误差，均值，方差(Data processing, linear system error, periodic systematic error)
grayco
- 用3*3邻域计算每一个像素的灰度共生矩阵并计算对应的特征参数，最后再选择特定目标区域内的像素，计算在目标区域内的像素所对应的特征参数的均值和方差(Calculation of characteristic parameters of each pixel gray level co-occurrence matrix and calculate the corresponding 3*3 neighborhood, then select the specific pixels within t
colorMom
- 颜色矩是一种简单有效的颜色特征表示方法，有一阶矩(均值,mean)、二阶矩(方差,viarance)和三阶矩(斜度,skewness)等，由于颜色信息主要分布于低阶矩中，所以用一阶矩，二阶矩和三阶矩足以表达图像的颜色分布，颜色矩已证明可有效地表示图像中的颜色分布。本代码很好的实现了对图片颜色矩的提取，并有详细的注释。(Color moment is said a simple and effective method of color feature, a moment (mean, mean)
matlab
- 带通滤波器（Butterworth、椭圆、窗函数），采样率fs＝2000Hz, 通带范围为300 -600Hz，阶数自选, 画出频率响应并分析比较， 对cameraman.tif图像分别添加椒盐噪声（密度为0.03）和高斯白噪声（均值为0，方差为0.02）的图像，利用三种方法进行去噪，显示原始图像、加噪图像和去噪图像并对实验结果进行分析(Band pass filter (Butterworth, ellipse, window function), sampling rate FS = 20
homework1
- 此程序用于产生零均值单位方差高斯白噪声的1000个样点，并利用周期图法和平均周期图法进行自相关的估计。(This program is used to produce 1000 sample points under the distribution of zero mean unit variance of Gaussian white noise , and the Periodogram method and average cycle diagram method are used t
粒子滤波程序
- 通过寻找一组在状态空间中传播的随机样本来近似的表示概率密度函数，用样本均值代替积分运算，进而获得系统状态的最小方差估计的过程(By finding a set of random samples propagating in the state space to approximate the probability density function, the sample mean is used instead of the integral operation to obtain the
filter
- 利用窗函数法设计FIR滤波器，绘制出滤波器的特性图。利用所设计的滤波器对多个频带叠加的正弦信号进行处理，对比滤波前后的信号时域和频域图，验证滤波器的效果。最后录制或下载一段语音信号，对其进行采样和加噪，然后用设计滤波器对加噪后信号进行滤波，绘制出信号的时域波形和频谱，分别计算均值、方差、自相关函数、功率谱，并对滤波前后的信号进行对比。(Using window function design FIR filter, draw the filter characteristic diagram.
Lee filter for speckle noise reduction
- 在自适应中值滤波的基础上，采用均值与方差得到一个阈值，来判断极值点是不是噪声点！(On the basis of adaptive median filtering, a threshold is obtained by means of mean and variance to determine whether the extreme point is a noise point!)
gauss distribution
- 用C语言产生服从高斯分布的随机数，可以由用户指定并输入高斯分布的均值和方差(to use C program get gaussian distribution variates)
pls
- 定义一个自标度化函数，自标度化后的变量赋给矩阵autoX，变量的均值与标准方差分别返回给mx与s(A self scaling function is defined, and the self scaling variables are assigned to the matrix autoX, and the mean and standard variance of the variables are returned to MX and s respectively)
例4-2的R代码
- 计算协方差阵、逆矩阵、和各组均值；进行预测及回判。(Covariance matrix, inverse matrix, and mean of each group are calculated)