Description: denoise
In BayesShrink[5] we determine the threshold for
each subband assuming a Generalized Gaussian
Distribution(GGD) . The GGD is given by
GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)
¡ 1 < x < 1 ¯ > 0, where
® (¾ X ¯ ) = ¾ ¡ 1
X [ ¡ (3=¯ )
¡ (1=¯ ) ]1=2
and
C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ )
2¡ ( 1
¯ )
and ¡ (t) =
R1
0 e¡ uut¡ 1du.
The parameter ¾ X is the standard deviation and ¯
is the shape parameter It has been observed[5] that
with a shape parameter ¯ ranging from 0.5 to 1, we
can describe the the distribution of coefficients in a
subband for a large set of natural images.Assuming
such a distribution for the wavelet coefficients, we empirically
estimate ¯ and ¾ X for each subband and try
to find the threshold T which minimizes the Bayesian
Risk, i.e, the expected value of the mean square error.-denoise
In BayesShrink[5] we determine the threshold for
each subband assuming a Generalized Gaussian
Distribution(GGD) . The GGD is given by
GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)
¡ 1 < x < 1 ¯ > 0, where
® (¾ X ¯ ) = ¾ ¡ 1
X [ ¡ (3=¯ )
¡ (1=¯ ) ]1=2
and
C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ )
2¡ ( 1
¯ )
and ¡ (t) =
R1
0 e¡ uut¡ 1du.
The parameter ¾ X is the standard deviation and ¯
is the shape parameter It has been observed[5] that
with a shape parameter ¯ ranging from 0.5 to 1, we
can describe the the distribution of coefficients in a
subband for a large set of natural images.Assuming
such a distribution for the wavelet coefficients, we empirically
estimate ¯ and ¾ X for each subband and try
to find the threshold T which minimizes the Bayesian
Risk, i.e, the expected value of the mean square error. Platform: |
Size: 13753344 |
Author:mik |
Hits:
Description: LBG分类算法
用初始室心随机法和扰动因子分裂法两种方法，比较不同方法不同参数设置时的分类性能。
-LBG classification algorithm vector quantization: vector normalization within a certain range for a particular type, consists of two steps: first generate a codebook, which is the speech feature vector space by the first process- also known as clustering speech parameter sequence as a vector, the reference code for classified- also known as quantization. Clustering algorithm: it is relatively simple and commonly used K-means clustering algorithm. LBG is a clustering algorithm, which is generally assumed that the codebook size is fixed, and for a power of 2. Codebook is small, then expanding until it reaches the requirements. It is often an existing classification split into two subclasses, and initial value with the new code word to each subclass. LBG algorithm on random data and a certain regularity (and meet certain Gaussian distribution) data classification, and look at the performance of the LBG algorithm, the initial chamber heart random disturbance factor-secession law are two Platform: |
Size: 86016 |
Author:zzc |
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Description: 通信系统中对不同分布函数的c语言实现，主要是高斯分布、瑞利分布、泊松分布等-Communication system on the distribution function of c language, mainly the Gaussian distribution, Rayleigh distribution, the Poisson distribution Platform: |
Size: 2048 |
Author:廖 |
Hits:
Description: 三维移动高斯分布表面热源焊接例子-Three-dimensional mobile Gaussian distribution of surface heat source welding example Platform: |
Size: 1024 |
Author:hnyyx |
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Description: MATLAB中单边离散指数序列和高斯分布序列的信号产生和合成程序-Index of MATLAB in the unilateral series and Gaussian distribution of discrete sequence of signal generation and synthesis procedures Platform: |
Size: 51200 |
Author:征彦 |
Hits:
Description: 绘制三维图,绘制三维网格图,并在xoy平面绘制相应的等高线,绘制三维网格图，并在网格图周围绘制垂直水平面的参考平面,用surf绘制高斯分布函数的曲面图,利用peaks函数产生的数据绘制其带状图,绘制空间立体的切片图,绘制三维瀑布图 ,绘制等值线图,绘制球面图-Draw a three-dimensional map, draw a three-dimensional grid map and draw the corresponding contour xoy plane, draw a three-dimensional grid map drawn perpendicular to the horizontal reference plane, and around the grid chart, draw a Gaussian distribution function of the surface plot with surf the peaks function generated data to draw the strip chart, draw space dimensional slice chart, draw three-dimensional waterfall, draw a contour map, draw the diagram of spherical Platform: |
Size: 1024 |
Author:陈雪 |
Hits:
Description: 计算高斯分布各点的密度。 输入高斯分布的miu,sigma,以及所求点，可以得到该点密度。-Calculate Gaussian distribution of the density of the various points. Enter the Gaussian distribution miu, sigma, and the demand point density can get the point. Platform: |
Size: 1024 |
Author:Miaotk |
Hits:
Description: 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！-The algorithm including maximum likelihood estimation, least squares estimation, based on the the many EM algorithm mixed Gaussian distribution is estimated, the EM algorithm test case to draw each distribution plot function. Reference value! Platform: |
Size: 21504 |
Author:Kansess |
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Description: 针对神经网络的瓦斯预测模型存在的泛化性能差且存在易陷入局部最优的缺点，提出了
基于最小二乘支持向量机(LS-SVM)时间序列瓦斯预测方法．由于标准最小二乘支持向量机
(L孓SVM)要求样本误差分布服从高斯分布，且标准LS-SVM丧失鲁棒性与稀疏性等特点，提出
了基于加权LS-SVM的瓦斯时间序列预测的方法，从而提高了标准L孓SVM模型的鲁棒性．其
中时间序列的嵌入维数与延迟时间采用了微熵率最小原则进行选取，在此基础上给出了基于加
权L孓SVM实现多步时间序列预测的算法实现步骤．最后利用MATLAB 7．1对其进行仿真研
究，通过鹤壁十矿1个突出工作面的瓦斯涌出数据实例对模型进行了验证．结果表明，加权
SVM模型比标准的L§SVM明显提高了鲁棒性，可较好地实现时间序列数据的多步预测．-The neural network gas prediction model is poor in generalization performance and
easy in fafling into the local optimal value．In order to overcome these shortcomings，we pro—
pose the time series gas prediction method of least squares support vector machine(L§SVM)．
However，in the LS-SVM case，the sparseness and robustness may lose，and the estimation of
the support values iS optimal only in the case of a Gaussian distribution of the error variables．
So，this paper proposes the weighted L孓SVM tO overcome these tWO drawbacks．Meanwhile，
the optimal embedding dimension and delay time of time series are obtained by the smallest dif—
ferential entropy method．On this basis，multi-step time series prediction algorithm steps are
given based on the weighted LS-SVM．Finally，the data of gas outburst in working face of Hebi
lOth mine iS adopted to validate this model．The results show that the predict effect of shortterm
the face gas emission is better using the weighted LS-SVM model than using Platform: |
Size: 490496 |
Author:wanggen |
Hits:
Description: 对于微弱信号检测算法中非相参积累以后近似服
从于高斯分布的噪声，都可以通过双参量估计恒虚警
检测器来实现恒虚警检测-Coherent integration for weak signal detection algorithm Central Africa approximately obey the Gaussian distribution of the noise by the two-parameter CFAR detector is estimated to achieve a constant false alarm rate (CFAR) Platform: |
Size: 1024 |
Author:周森山 |
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Description: 点散射方法进行混响仿真，信号为单频信号，散射体高斯分布-Reverberation simulation, signal point scattering method for single-frequency signal, the scattering body Gaussian distribution Platform: |
Size: 1024 |
Author:织梦听雨 |
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Description: 离散随机变量的仿真与计算---离散随机变量的仿真与计算、高斯分布随机数的仿真、随机变量数字特征的计算（均值和方差）-Simulation and calculation, simulation and calculation of discrete random variables--- discrete random variable Gaussian distribution random number simulation, the characteristics of the calculation of the number of random variables (mean and variance) Platform: |
Size: 13312 |
Author:闫瑜 |
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Description: 正态分布函数的各种实例测试
正态分布函数
高斯分布-Various instances of the normal distribution function test normal distribution function Gaussian distribution Platform: |
Size: 1024 |
Author:michael |
Hits:
Description: 根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。
分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。
对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。
-According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory. Platform: |
Size: 1024 |
Author:Lee |
Hits:
Description: 在平滑信号中加入高斯分布的白噪声，然后用db4小波函数进行多尺度分解，滤除白噪声，将滤波前后的图进行对比-Add the Gaussian distribution of the white noise in the smoothed signal, and then multi-scale decomposition db4 wavelet function, the filtered white noise, comparing before and after filtering Platform: |
Size: 1024 |
Author:张青山 |
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Description: 混合高斯模型算法，可以产生混合高斯分布，并通过自拟和确定高斯函数个数。-Gaussian mixture model algorithm, can produce a mixture of Gaussian distribution, and through self-fitting to determine the number of Gaussian function. Platform: |
Size: 1024 |
Author: |
Hits:
Search - gaussian distribution