curvelet

对几个混合的常规信号进行傅里叶变换，并将其分离开。然后对几个信号进行时频分析，并求出参数估计的误差。(Conventional signals of several mixed Fourier transform, and separated them. And then the several signal time-frequency analysis, and the parameter estimation error.)

INCORPORATION OF D-FACTS DEVICE IN DISTRIBUTION SYSTEM FOR LOSS REDUCTION

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

说明：  该程序是我研制的“基于ARM9的无线自动报靶系统”的MATLAB算法的仿真验证部分 该程序的主要功能是对靶纸上的靶点和靶环进行提取和计算，然后计算出靶点的环数。 程序里面有注释(The program that I developed ARM9-based wireless automatic reported target system MATLAB algorithm simulation part of the program s main function is to target the paper target and target ring extraction and calculation, and then calculate the target of ring a few. Procedures there are Notes)

该书详细介绍了Boost库的数十种子库，是目前为止我找到的最详细的Boost库中文书籍(The book details the Boost libraries dozens seed bank, is by far the most detailed I ve found Boost library books Chinese)

color segmentation and bounding box from a video sequence in matlab

根据)EF 特性中的对比度敏感度， 即空间频率特性曲线，对图像进行二维多级小波分解，由分解后的各小波分量，提取各频段相应的亮 度、清晰度和相关度指标；然后将这三个指标的几何平均与频段加权系数的内积做算术平均，以此作 为图像质量的综合评价指标(According to) EF characteristic of contrast sensitivity, that is spatial frequency characteristic curve, the image is two-dimensional multi-level wavelet decomposition, the decomposition of the wavelet component, extract the frequency band corresponding brightness, clarity and relevance of indicators then the geometric mean of these three indices and the band doing weighted coefficient of the arithmetic mean within the product as a comprehensive evaluation of image quality index)

Hough transform is used to transform images

说明：  自编MATLAB程序，希望对大家有帮助，仅供大家参考，希望有用(Self-compiled MATLAB program, we want to help, only for your reference and hope be useful)

说明：  本程序是一个采用背景差分的运动目标检测方法(This program is a moving target using the background difference detection method)