Description: 用VB实现的数据的统计描述
包括分布的矩---均值、平均差、标准差、方差和中位数的搜索、均值与方差的显著性检验等-VB data including the statistical description of the moment -- the distribution mean, mean difference, standard deviation, variance and median search, the mean and variance significantly inspection Platform: |
Size: 4168 |
Author:刘立立 |
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Description: 卡尔曼滤波在数学上是一种统计估算方法，通过处理一系列带有误差的实际量测数据而得到的物理参数的最佳估算。
例如在气象应用上，根据滤波的基本思想，利用前一时刻预报误差的反馈信息及时修正预报方程，以提高下一时刻预报精度。
作温度预报一般只需要连续两个月的资料即可建立方程和递推关系。
-Kalman filter in mathematics is a statistical estimation methods, By a series of errors with the actual measurement data and the physical parameters of the best estimate. For example, in meteorological applications, in accordance with the basic idea filtering, Before the use of a forecast error of the feedback information in a timely manner that prediction equation, the next moment to improve prediction accuracy. Predict the temperature usually require only two consecutive months of the establishment of equations and can be recursive relationship. Platform: |
Size: 817 |
Author:于军相 |
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Description: 用VB实现的数据的统计描述
包括分布的矩---均值、平均差、标准差、方差和中位数的搜索、均值与方差的显著性检验等-VB data including the statistical description of the moment-- the distribution mean, mean difference, standard deviation, variance and median search, the mean and variance significantly inspection Platform: |
Size: 4096 |
Author:刘立立 |
Hits:
Description: 卡尔曼滤波在数学上是一种统计估算方法，通过处理一系列带有误差的实际量测数据而得到的物理参数的最佳估算。
例如在气象应用上，根据滤波的基本思想，利用前一时刻预报误差的反馈信息及时修正预报方程，以提高下一时刻预报精度。
作温度预报一般只需要连续两个月的资料即可建立方程和递推关系。
-Kalman filter in mathematics is a statistical estimation methods, By a series of errors with the actual measurement data and the physical parameters of the best estimate. For example, in meteorological applications, in accordance with the basic idea filtering, Before the use of a forecast error of the feedback information in a timely manner that prediction equation, the next moment to improve prediction accuracy. Predict the temperature usually require only two consecutive months of the establishment of equations and can be recursive relationship. Platform: |
Size: 1024 |
Author:于军相 |
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Description: Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2％到10％不等。实验结果表明,该方法改进了导向纹理的描述-Transform Contourlet inseparable combination of the direction of filtering group, have not expressed by wavelet multi-directional properties, can effectively capture the edge of natural image contour information. This paper analyzes the image ontourlet coefficient statistical characteristics, and take advantage of the generalized Gaussian function of the sub-band coefficient modeling layer. Based on this model was applied to the self-VisTex texture image database, using moment matching estimation method, extract the model parameters set, K2L use of distance-based similarity between images. Of 800 texture image retrieval, wavelet method than the traditional method of the average retrieval precision by about 2 to 10 range. Experimental results show that the method improves the texture-oriented description of Platform: |
Size: 198656 |
Author:焦亚民 |
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Description: 图象 处 理和模式识别中经常根据物体的形状来识别物
体或对物体进行分类。形状特征可以分为区域特征和边界特
征两大类，矩不变量是最基本的形状特征。Hu提出的矩不变
量是图象区域内部细节的描述，是一种区域特征。它是建立
在对一个区域内部灰度值的统计分析基础上的，需要目标区
域的所有象素参与运算-Image processing and pattern recognition are often based on the shape of objects to identify objects or to classify objects. Shape characteristics and regional characteristics can be divided into two major categories of border characteristics, moment invariants is the most basic features of the shape. Hu moment invariants proposed by the image region is described in detail, the characteristics of a region. It is based on a gray value of region on the basis of statistical analysis, the needs of the target region to participate in all-pixel operations Platform: |
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Author:martin |
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Description: 该代码是经典的信噪比估计算法，用到了统计学中基于矩估计的思想，利用信号的2、4阶矩来估计接收信号的信噪比-The code is a classic signal to noise ratio estimation algorithm, using the statistical moment estimation based on the idea of the use of 2,4-order moment of signals to estimate the received signal to noise ratio Platform: |
Size: 1024 |
Author:贾小勇 |
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Description: 基于DCT的图像检索技术
用统计特征法和不变矩法
MATLAB程序-DCT-based image retrieval method using statistical features and invariant moment method MATLAB program Platform: |
Size: 4096 |
Author:张三 |
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Description: 在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时，文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析，由此得出的收敛条件比较粗糙。本程序指出：不相关高斯输入情况下，无需如上简化，可依据高斯阶矩因式分解定理得到确切的MSE收敛条件，相应的失调表式能更准确地预报失调-In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commonly used statistical correlation matrix instead of the instantaneous correlation matrix to simplify the analysis, it follows that the convergence conditions are relatively rough. This procedure pointed out: not related to the Gaussian input case, no simplification above may be based on the Gaussian moment factoring theorem to the exact order of MSE convergence conditions, the corresponding offset table style to a more accurate prediction of disorder Platform: |
Size: 8192 |
Author:王凤 |
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Description: M2M4-该代码是经典的信噪比估计算法，用到了统计学中基于矩估计的思想，利用信号的2、4阶矩来估计接收信号的信噪比-M2M4-the code is the classic SNR estimation algorithm used in the statistical moment estimation based on the idea, the signal of 2,4-order moments to estimate the signal to noise ratio of the received signal Platform: |
Size: 1024 |
Author:闫姗姗 |
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Description: Zernike矩是一种具有尺度、移位和旋转不变性的正交不变矩，本设计的目的就是利用Zernike不变矩设计一种图像检索系统，该系统能够充分验证Zerinike矩的不变性及其在图像检索中的优良性能。具体内容包括：
(1) 图像特征提取、统计特征提取；
(2) Zernike不变矩及其应用方法；
(3) 基于Zernike不变矩的图像检索系统。
-Zernike moments is a scale, shift and rotation invariant orthogonal invariant moments, the purpose of this design is the use of Zernike invariant moments design an image retrieval system, the system can fully verify Zerinike moments invariance and itsexcellent performance in image retrieval. Specific content includes:
(1) image feature extraction, statistical feature extraction
(2) Zernike invariant moments and its application method
(3) based on Zernike Moment Invariant image retrieval system Platform: |
Size: 366592 |
Author:hanlianfu |
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Description: 统计套利模型——>配对交易模型
配对交易模型是统计套利模型中的一种，也是出现最早，应用范围最广的模型。相信随着中国做空制度的出现以及金融衍生品的发展，程序化交易模型也会在中国大放异彩。
统计套利最早出现于80年代，其具体的思想是，假设市场上某两只股票之间如果长期存在协整关系的话，那么如果在短期内，如果两只股票的价差出现了一个离长期协整较大的偏离，那么我们会认为这种偏离是非常态的状况。不久之后有极大的概率向着其长期协整回归。而我们如果通过某种办法能够侦测到这种非常态的偏离，继而在此时刻，向着长期协整方向下赌注，那么我们就会有极大的概率赢得这一赌注。而当赌注的次数足够大时，风险接近于零。-Statistical arbitrage models-> pairs trading model
Pairs trading model is a statistical arbitrage model, is the first, most widely used models appear. I believe that with the development of Chinese short system and the emergence of financial derivatives and program trading model will shine in China.
Statistical arbitrage first appeared in the 1980s, the specific idea is, assuming that if there are two stocks between a cointegration long, then if in the short term, if the two stocks spread there was a whole market from a long-term agreement larger deviation, then we will consider such a departure from the norm of non-status. Soon after there is a great probability toward its long-term cointegration regression. Even if we are able to detect in some way to this very state of deviation, then at this moment, toward the direction of long-term co-integration bet, then we ll have a great probability of winning the bet. When the bet number is large enough, the risk is close to zero. Platform: |
Size: 118784 |
Author:光辉 |
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Description: 配对交易模型是统计套利模型中的一种，也是出现最早，应用范围最广的模型。相信随着中国做空制度的出现以及金融衍生品的发展，程序化交易模型也会在中国大放异彩。
统计套利最早出现于80年代，其具体的思想是，假设市场上某两只股票之间如果长期存在协整关系的话，那么如果在短期内，如果两只股票的价差出现了一个离长期协整较大的偏离，那么我们会认为这种偏离是非常态的状况。不久之后有极大的概率向着其长期协整回归。而我们如果通过某种办法能够侦测到这种非常态的偏离，继而在此时刻，向着长期协整方向下赌注，那么我们就会有极大的概率赢得这一赌注。而当赌注的次数足够大时，风险接近于零。-Paired statistical arbitrage trading model is a model, is the first, most widely used models appear. I believe that with the development of Chinese short system and the emergence of financial derivatives and program trading model will shine in China. Statistical arbitrage first appeared in the 1980s, the specific idea is, assuming that the two stocks between a long-term relationship if there cointegration, then if in the short term, if the two stocks spreads there is a whole market from a long-term agreement larger deviation, then we will consider such a departure from the norm of non-status. Soon after there is a great probability toward its long-term cointegration regression. Even if we are able to detect in some way to this very state of deviation, then at this moment, toward the direction of long-term co-integration bet, then we' ll have a great probability of winning the bet. When the bet number is large enough, the risk is close to zero. Platform: |
Size: 117760 |
Author:dbw630undead |
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Description: 虽是未完成，但实际95 的功能已是可用的，未完成的版本应该是asp最终版了，这次的版本没有什么新技术的引用，只是在实用性和安全性方面着重考虑了一下，也加入了很多网友要求的播放列表功能和统计的功能-Although it is not complete, but the actual 95 of the functionality is available unfinished version should be the final version of the asp, and this version is no reference to any new technology, but in terms of practicality and safety important consideration for a moment , but also added a lot of users requested playlist feature and statistical functions Platform: |
Size: 56320 |
Author:osqpaofwac |
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Description: 3.Shape Descriptors
Centroids (Center of Mass)
3.2 Statistical moments:
Useful for describing the shape of boundary segments (or other curves)
Suitable for describing the shape of convex deficiencies
The histogram of the function (segment curve) can also be used for calculating moments
2nd moment gives spread around mean (variance)
3rd moment gives symmetry around mean (skewness)
-3.Shape Descriptors
Centroids (Center of Mass)
3.2 Statistical moments:
Useful for describing the shape of boundary segments (or other curves)
Suitable for describing the shape of convex deficiencies
The histogram of the function (segment curve) can also be used for calculating moments
2nd moment gives spread around mean (variance)
3rd moment gives symmetry around mean (skewness)
Platform: |
Size: 2048 |
Author:mohammed |
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Description: 卡尔曼滤波不要求信号和噪声都是平稳过程的假设条件。对于每个时刻的系统扰动和观测误差（即噪声），只要对它们的统计性质作某些适当的假定，通过对含有噪声的观测信号进行处理，就能在平均的意义上，求得误差为最小的真实信号的估计值。(The Calman filter does not require the assumption that both the signal and the noise are stationary processes. For every moment perturbation and observation error (noise), as long as the statistical properties of the some appropriate assumptions, processed through the observation signal to noise can, on average, the error to estimate the true value of minimum signal.) Platform: |
Size: 792576 |
Author:dafav
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Description: 刻画随机过程X(t)在各个独立时刻的概率统计特性,反映不了随机过程的内在相关性(Characterize the probability statistical properties of stochastic process X (t) at each independent moment, which can not reflect the inherent correlation of stochastic process) Platform: |
Size: 1376256 |
Author:BUD%5F841147
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Search - statistical moment