Description: 计算各种随机分布的密度函数，并可以根据给定的概率计算分位点-the calculation of the density of random distribution function, and can be according to the probability of sub-sites Platform: |
Size: 54272 |
Author:zhang kai |
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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: 模式识别中的parzen窗估计概率密度的一个自编的函数-Pattern Recognition Parzen window estimate of probability density function of a self- Platform: |
Size: 1024 |
Author:skybird2006 |
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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: parzen窗法，功能是根据样本进行概率密度函数估计。实现了对正态分布概率密度函数和均匀分布双峰概密函数进行估计-Parzen window method, function is based on a sample of the estimated probability density function. The realization of the normal distribution probability density function and uniform distribution Bimodal density function is estimated over Platform: |
Size: 3072 |
Author:陈坚 |
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Description: ERF函数的原代码,erf(x)=(2/根号下派)*(exp(-z方)对z积分，积分下限是0，上限是x)，误差函数从形式上很像正态分布的分布函数Φ(x)，是对一个形如正态分布的概率密度函数做变上限积分的结果；
-ERF function of the original code, erf (x) = (2/root allocation under No.)* (exp (-z side) of the z integral, integral lower limit is 0, the upper limit is x), error function from the form like normal distribution distribution function Φ (x), is a shape such as the normal distribution probability density function do change the results limit points Platform: |
Size: 1024 |
Author:zhanghua |
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Description: 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approximate arbitrary smooth shape of the density distribution, so it is often used in speech and speaker recognition in recent years. Platform: |
Size: 63488 |
Author:杨清山 |
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Description: ex6_1 ～ ex6_3二项分布的随机数据的产生
ex6_4 ～ ex6_6通用函数计算概率密度函数值
ex6_7 ～ ex6_20常见分布的密度函数
ex6_21 ～ ex6_33随机变量的数字特征
ex6_34 采用periodogram函数来计算功率谱
ex6_35 利用FFT直接法计算上面噪声信号的功率谱
ex6_36 利用间接法重新计算上例中噪声信号的功率谱
ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较
ex6_38 在置信度为0.95的区间上估计有色噪声x的PSD
ex6_39 在置信度为0.95的区间上估计两个有色噪声x，y之间的CSD
ex6_40 用程序代码来实现Welch方法的功率谱估计
ex6_41 用Welch方法进行PSD估计，并比较当采用不同窗函数时的结果
ex6_42 用Yule-Walker AR法进行PSD估计
ex6_43 用Burg算法计算AR模型的参数
ex6_44 用Burg法PSD估计
ex6_45 比较协方差方法与改进的协方差方法在功率谱估计中的效果
ex6_46 用Multitaper法进行PSD估计
ex6_47 用MUSIC法进行PSD估计
ex6_48 用特征向量法进行PSD估计-ex6_1 ~ ex6_3 binomial distribution of the generated random data
ex6_4 ~ ex6_6 generic function value of the probability density function
ex6_7 ~ ex6_20 common distribution density function
ex6_21 ~ ex6_33 figure characteristics of random variables
periodogram function ex6_34 used to calculate the power spectrum
ex6_35 direct method using FFT signal above the noise of the power spectrum
ex6_36 recalculated using the indirect method on the example of the power spectrum of noise signal
tfe function ex6_37 used for system identification, and results were compared with the ideal
ex6_38 at 0.95 confidence interval for the estimated colored noise x on the PSD
ex6_39 at 0.95 confidence interval of the two colored noise on the estimated x, y between the CSD
ex6_40 code used to achieve the Welch method of power spectrum estimation
Welch method ex6_41 with PSD estimates, and compare different window function when the results when
ex6_42 using Yule-Walker AR method is esti Platform: |
Size: 7168 |
Author:张满超 |
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Description: 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability density function, linear discriminant function, the neighboring rules, feature selection and extraction, non-supervised learning, neural networks, fuzzy pattern recognition and so on. Platform: |
Size: 13752320 |
Author:yrw |
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Description: 数字图象处理教程
INTRODUCTION 4
DIGITAL IMAGE DEFINITIONS 5
COMMON VALUES 6
CHARACTERISTICS OF IMAGE OPERATIONS 7
TYPES OF OPERATIONS 7
TYPES OF NEIGHBORHOODS 8
VIDEO PARAMETERS 9
TOOLS 9
CONVOLUTION 10
PROPERTIES OF CONVOLUTION 10
FOURIER TRANSFORMS 10
PROPERTIES OF FOURIER TRANSFORMS 11
IMPORTANCE OF PHASE AND MAGNITUDE 14
CIRCULARLY SYMMETRIC SIGNALS 15
EXAMPLES OF 2D SIGNALS AND TRANSFORMS 15
STATISTICS 16
PROBABILITY DISTRIBUTION FUNCTION OF THE BRIGHTNESSES 16
PROBABILITY DENSITY FUNCTION OF THE BRIGHTNESSES 16
AVERAGE 18
STANDARD DEVIATION 19
COEFFICIENT-OF-VARIATION 19
PERCENTILES 19-INTRODUCTION 4
DIGITAL IMAGE DEFINITIONS 5
COMMON VALUES 6
CHARACTERISTICS OF IMAGE OPERATIONS 7
TYPES OF OPERATIONS 7
TYPES OF NEIGHBORHOODS 8
VIDEO PARAMETERS 9
TOOLS 9
CONVOLUTION 10
PROPERTIES OF CONVOLUTION 10
FOURIER TRANSFORMS 10
PROPERTIES OF FOURIER TRANSFORMS 11
IMPORTANCE OF PHASE AND MAGNITUDE 14
CIRCULARLY SYMMETRIC SIGNALS 15
EXAMPLES OF 2D SIGNALS AND TRANSFORMS 15
STATISTICS 16
PROBABILITY DISTRIBUTION FUNCTION OF THE BRIGHTNESSES 16
PROBABILITY DENSITY FUNCTION OF THE BRIGHTNESSES 16
AVERAGE 18
STANDARD DEVIATION 19
COEFFICIENT-OF-VARIATION 19
PERCENTILES 19
MODE 20
SIGNALTONOISE RATIO 20
CONTOUR REPRESENTATIONS 21
CHAIN CODE 21
CHAIN CODE PROPERTIES 22
CRACK CODE 22
RUN CODES 23
PERCEPTION 23
BRIGHTNESS SENSITIVITY 23
WAVELENGTH SENSITIVITY 24
STIMULUS SENSITIVITY 24
SPATIAL FREQUENCY SENSITIVITY 25
COLOR SENSITIVITY 26
STANDARD OBSERVER 26
CIE CHROMATICITY COORDINATES 26
OPTICAL ILLUSIONS 28
IMAGE SAMPLING 30
SAMPLING DENSITY FO Platform: |
Size: 2639872 |
Author:sean |
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Description: 用monte carlo的方法对Nakagami的概率密度函数进行仿真-Using monte carlo methods for Nakagami probability density function of the simulation Platform: |
Size: 1024 |
Author:于 |
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Description: 仿真衰落信道中的Rayleigh衰落,给出均方值为1时的概率密度函数和累积积分函数,在MATLAB2009A下运行通过-Simulation of Rayleigh Fading Channels decline, given the mean square value of 1 when the probability density function and cumulative integral function in the MATLAB2009A run through the Platform: |
Size: 788480 |
Author:alex |
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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: This file simulates Probability Density Function of Gaussian random Variables with suitable plots. Platform: |
Size: 1024 |
Author:sujith |
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Description: This file simulates Probability Density function of Rayleigh generated Random variables and comparision plots with Theory & simulation. 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: kernal density function for image processing and probability density function estimation Platform: |
Size: 218112 |
Author:arefinster |
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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: This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections Platform: |
Size: 167936 |
Author:Shooty |
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Search - probability density function