guangbodao

强大的nurbs的工具箱 nurbs曲线，曲面，造型(Toolbox nurbs powerful nurbs curve, surface, shape)

matlab7小波分析书中的例子，例子很全希望能够有用(Wavelet analysis matlab7 examples of the book, for example, is the whole hope to be useful)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

its book to gui development for python

用斐波那契额法求函数极小值，它是一种双向收缩的方法，它的收缩率是0.618(Fibonacci amount of law and the function minimum, it is a two-way contract, the contraction rate is 0.618)

matlab 贝叶斯分类器+bayesian 程序(Bayesian classifier matlab program+ bayesian)

在matlab下对图像进行census变换(Using this code to make census transform for image on matlab)

create a Christmas tree with string * , caling the function tree(x), x is a prime number!

代码中含有多种多目标优化的测试函数，在代码中修改即可测试。(The code contains a variety of multi-objective optimization test functions, which can be tested by modifying the code.)

说明：  局部均值分解，相比于emd好一点，自适应将信号分解几个物理量(Local mean decomposition, a little better than emd, adaptively decomposes the signal into several physical quantities)