Aggarwal---A-self-tuning-analog-PID-controller

在Matlab环境下完成线性外插和内插数值算法，包含多维数据插值计算。( interpne: Interpolates and extrapolates using n-linear interpolation (tensor product linear) )

BPSK仿真程序，可以直接运行，保证无错，可统计误码率，观察功率谱变化。(BPSK simulation program can be run directly, to ensure error-free, statistical error rate can be observed power spectrum changes.)

基于GE公司的直驱式永磁风力发电机源码，带双BWM背靠背变换器。(Direct drive permanent magnet wind turbine based on GE source code, with double BMW back-to-back converter.)

OFDM通信系统的仿真。PDF文件，包括OFDM原理、程序讲解及运行结果。-OFDM communications system simulation. PDF documents, including OFDM principles, procedures and operations on the results. (OFDM communication system simulation. PDF documents, including OFDM principles, procedures and operational results to explain.-OFDM communications system simulation. PDF documents, including OFDM principles, procedures and operations on the results.)

k-means clustring clusters through a fully vectorized algorithm

一些MATLAB练习用的小代码.均为M文件。全是本人学习时写的。有注释。绝对原创。(MATLAB exercises with some small code. Are M documents. Learning all the time I wrote. Annotated. Absolutely original.)

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.

说明：  数据整理，数据和标签和样本数量之间的匹配，当然也可以用其他方法，仅供参考(Data collation, matching between data and label and sample quantity, of course, other methods can be used, for reference only)

the code for compute Implied volatility

用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。(For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general understanding.)