Description: 针对线性混合信号盲分离时，源信号概率密度与激活函数难以确定时（尤其是源信号中既含超高斯信号，又含亚高斯信号时），依据信号pdf的一种测度--峭度，自适应的确定激活函数，实现信号的盲分离，是一种基于峭度开关的盲分离算法。-Linear mixed-signal for blind source separation, the source signal probability density function with the activation when it is difficult to determine (especially the source of the signal with both super-Gaussian signals, but also with sub-Gaussian signal), signal pdf based on a measure-- Kurtosis, adaptive activation function of determining and achieving blind signal separation, is a switch-based kurtosis blind source separation algorithm. Platform: |
Size: 1024 |
Author:徐冰 |
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Description: 对图像进行中值金字塔分解后，分别求取各层的概率密度函数-Image after median pyramid decomposition, respectively, to strike all floors of the probability density function Platform: |
Size: 181248 |
Author:tony |
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Description: 直方圖等化(Histogram Equalization)為一種使用統計方法的影像處理程式設計,它的功能為將統計直方圖的色彩分布平均的打散在直方圖裡,也就是說,讓一張圖的直方圖分布均勻化,同樣的也是使用到LUT(Look-up Table)的方法
而在設計直方圖等化不可或缺的就是需要先知道統計學的機率密度函數(Probability Density Function,PDF)以及累積分配函數(Cumlative Distribution Function,CDF)相關的基本概念,在這邊會簡單的說明機率密度函數及累積分配函數的概念還有直方圖等化的程式設計實作,而OpenCV也提供了直接使用直方圖等化的函式,cvEqualizeHist(),下面就簡單的製作直方圖等化的程式設計
-Histogram equalization (Histogram Equalization) for a use of statistical methods of image processing programming, its function as a statistical histogram of color distribution of the average scatter in the histogram, the words, let the distribution of a histogram graph homogenization, the same also use the LUT (Look-up Table) method
In the design of histogram equalization is an essential need to know the statistical probability density function (Probability Density Function, PDF) and cumulative distribution function (Cumlative Distribution Function, CDF) related to the basic concepts, in the side would be a simple shows probability density function and cumulative distribution function, the concept of histogram equalization programs are designed to implement, while OpenCV also provides direct access to the histogram equalization function, cvEqualizeHist (), Here s the simple production of histogram equalization programming Platform: |
Size: 1024 |
Author:nip |
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Description: 在利用曲波对图像进行分解的基础上，提出了一种考虑不同尺度分量的曲波系数间是相互关联的系数概率密度函数(PDF)模型，不同尺度的系数选择依赖其父层系数的大小，从而保证在去除噪声的同时，保留图像的纹理边缘等细节信息，然后对图像进行重构-In the use of curvelet decomposition of the image is proposed based on a consideration of different scale components curvelet coefficients are interrelated coefficient probability density function (PDF) model, different scale factor chosen to rely on the size of the parent layer coefficient in order to ensure the removal of noise while preserving image edges and other texture details, and then reconstruct the image Platform: |
Size: 407552 |
Author:lee |
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Description: This file simulates Probability Density Function of Gaussian random Variables with suitable plots. Platform: |
Size: 1024 |
Author:sujith |
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Description: 通过matlab代码画出的各种概率密度函数图形仅供参考-By matlab code to draw the beta probability density function graph for reference only Platform: |
Size: 148480 |
Author:王伟 |
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Description: APPLYING CURVE FIT OF THE PROBABILITY DENSITY FUNCTION
This file details the Microsoft Excel user-defined function applying curve fit of PDF Integration.
Create macro as shown below, then in spreadsheet, type function "curvefit(a,s)" with Asi n
as the first argument and O ran as the second argument. Platform: |
Size: 1024 |
Author:ali |
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Description: hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Baum-Welch算法；inithmm.m是初始化参数；train.m是训练程序；main.m是训练程序的脚本文件；recog.m是识别程序。-hmm HMM algorithm file using speech recognition in noisy environments. Which is the endpoint detection process vad.m mfcc.m procedure is to calculate the MFCC parameters pdf.m function is calculated for a given observation vector of the Gaussian probability density function of output probability mixture.m is to calculate the observation vector for a HMM state output probability of observation vector is the number of Gaussian mixture per state output probability of the linear combination getparam.m before the calculation of the probability function, backward probability, calibration coefficients and other parameters viterbi.m is Viterbi algorithm implementation baum.m Baum-Welch algorithm to achieve inithmm.m is the initialization parameters train.m is the training program main.m training program is a script file recog.m is to identify procedures. Platform: |
Size: 538624 |
Author:于军 |
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Description: 二维数据集Parzen方窗非参数估计PDF(概率密度函数)，三维结果显示，有图，有完整说明文档和程序运行说明，matlab编程环境，此为模式识别小作业 parzen-Dimensional data set Parzen Window non-parametric estimation side PDF (probability density function), three-dimensional results show that map, with complete documentation, matlab programming environment, this is the pattern recognition of small operations Platform: |
Size: 337920 |
Author:tianshimao |
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Description: 显示一个经验概率密度函数在输入数组中的密度分布直方图X的使用nbins箱的数目（默认pdfplot套nbins至20）。如果输入X是一个矩阵，然后pdfplot（X）的分析它的载体，并显示所有值的PDF格式。对于复杂的输入X，pdfplot（X）的显示PDF格式的-displays a histogram of the empirical probability density function (PDF)
for the data in the input array X using nbins number of bins
(by default pdfplot sets nbins to 20).
If input X is a matrix, then pdfplot(X) parses it to the vector and
displays PDF of all values.
For complex input X, pdfplot(X) displays PDF of abs(X).
Platform: |
Size: 1024 |
Author:dbb |
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Description: 概率密度函数pdf画图，给出最大、最小的范围，可调整分辨率-Probability density function pdf drawing, give maximum and minimum range, adjustable resolution Platform: |
Size: 1024 |
Author:Wang He |
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Description:
Demo1:
Demonstration of a cone-plane intersection interpreted in terms of Gaussian Probability Density Function (PDF). Platform: |
Size: 5120 |
Author: |
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Description: 语音信号的几种概率密度函数，包括高斯模型、Laplace模型和广义高斯模型。-Several probability density function of the speech signal, including the Gaussian model, the Laplace model and the generalized Gaussian model. Platform: |
Size: 1024 |
Author:Stone |
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Description: An Analytical Model to Predict the Probability
Density Function of Elevation Angles for
LEO Satellite Systems-Based on earth-satellite geometry, an analytical
model is proposed to predict the probability density function
(pdf) of elevation angles from an earth station to a circular
low-earth-orbit (LEO) satellite constellation. Unlike currently
available empirical models using a great deal of path data for
model-fitting to obtain results applicable only to the specified
systems (for example, the Iridium or Globalstar systems), the
proposed model is fast, exact and provides greater flexibility
for the user-specified satellite systems. The results may help to
develop the LEO satellite communication channel models under
the propagation environments characterized by various empirical
elevation-angle-dependent channel models. Platform: |
Size: 107520 |
Author:di |
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Description: A blind source separation algorithm is proposed
that is based on minimizing Renyi’s mutual information by means
of nonparametric probability density function (PDF) estimation.
The two-stqge process consists of spatial whitening Platform: |
Size: 56320 |
Author:muthupandi |
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Description: 画出数据的histtogram频率分布图及其概率密度函数，其中概率分布图的小区间范围以及整个数据区间的范围均可调-Plot the histtogram and probability density function (PDF) of statistic data which the whole range and subrange of the plot can be adjusted. Platform: |
Size: 1024 |
Author:蔡 |
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Description: This is a simple script two illustrate the concepts of Probability density function(pdf) cumulative density function (cdf).
Two help pdfs are also included to understand the pdf and cdf concepts. Platform: |
Size: 340992 |
Author:Ved |
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Description: 偏t分布的概率密度函数(pdf)、累积分布函数(CDF)、分位数(quantiles)计算以及生成随机数的matlab代码。-Matlab code for calculating probability density function, cumulative distribution function, quantiles of the skewed-t distribution and generating the random samples Platform: |
Size: 10240 |
Author:李先生 |
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Search - probability density function pdf