34188398matlab2

说明：  李春明于2005年提出的CLIC，一种对MR图像偏移场矫正方法(Li Chunming's CLIC in 2005, an offset correction method for MR images.)

this Class used to re-sampling image and convert at as you wont and as u need to use it in your program

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

说明：  计算导航信号不同调制方式的功率谱，包括bpsk，mboc等调制方式(Calculate the power spectrum of different modulation methods of navigation signal)

Draw 3D Graph for image processing

采用片条理论进行机翼的颤振分析，匹配点和非匹配点分析(Carried out using strip theory wing flutter analysis, matching and non-matching point analysis points)

python实现人脸识别，通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

BMP和JPEG数据格式的图片读取与写入操作，有完整的代码(BMP and JPEG data format images read and write operations, complete code)

在频域下分析提取纹理特征的代码，希望对大家有用(In the frequency domain analysis of extracted texture features of the code, in the hope that useful)

在视图窗口显现一个黑色的球体，背景为浅蓝色。颜色对比强烈(View window appear in a black sphere, as a light blue background. Strong color contrast)