Fractional-Fourier-Transform

说明：  MATLAB语言精要及动态仿真工具SIMULINK(Essential MATLAB language and dynamic simulation tool SIMULINK)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

针对弧齿锥齿轮的matlab编程，不过中间还有些问题(Matlab programming for spiral bevel gears, but the middle still have some questions)

Compute the frequency samples of the DTFT

分数阶变换课件，包括MATLAB实现函数，对比分析其利弊(Fractional conversion courseware, including MATLAB implementation function, comparative analysis of the pros and cons)

简单的采样，设计一个输入序列，实现其采样，绘出采样后的时域波形(Simple sampling design an input sequence, to achieve its sample, drawn after the time-domain waveform sampling)

对细胞图片进行边缘检测和标注出每个细胞，并且统计细胞数目(Image edge detection on the cell and label of each cell, and statistics the number of cells)

GRABIT starts a GUI program for extracting data an image file. It is capable of reading in BMP, JPG, TIF, GIF, and PNG files (anything that is readable by IMREAD).GRABIT starts a GUI program for extracting data an image file. It is capable of reading in BMP, JPG, TIF, GIF, and PNG files (anything that is readable by IMREAD).

基于VS2008和Matlab R2010b版本的混合编程的实现 包含如何在Matlab R2010b生成dll 以及在VS2008中调用所做的设置操作过程(Based on VS2008 and Matlab R2010b version of the mix of programming realize how contains Matlab R2010b generated in VS2008 invokes the DLL and the operation process set)

说明：  含风力发电、光伏、微型燃气轮机、储能的微电网能量管理，采用粒子群算法优化。(Particle swarm optimization (PSO) is used to optimize the energy management of microgrid including wind power generation, photovoltaic, micro gas turbine and energy storage.)