fft-sample

this is a code for viterbi in the forward mode

说明：  matlab 遗传算法求解tsp，有详细的交叉，变异说明，适合初学者(matlab genetic algorithm tsp, detailed crossover, mutation description, suitable for beginners)

RLS算法，用matlab实现，用自适应算法来实现均衡，程序正确(RLS algorithm, using matlab to achieve, with an adaptive algorithm to achieve a balanced and correct procedures)

第04讲MATLAB语言基础-数字图像处理课件-matlab语言基础，很适合做图像如理入门使用，(Digital image processing based on matlab language courseware), such as introduction to use, very suitable for image series 1)

利用matlab读取ALSO SAR数据并进行成像。(ALSO image reading)

分别建立pid控制与模糊PID控制的BLDC仿真模型，对比效果良好(BLDC simulation models of PID control and fuzzy PID control are established respectively, and the comparison results are good.)

自适应信号处理的几个程序，有LMS、NLMS、RLS算法，和几个自适应的例子。(Several adaptive signal processing procedures, LMS, NLMS, RLS algorithm, and several examples of adaptive.)

说明：  对信号的功率谱估计采用BT法功率谱估计。在MATLAB中调试通过。(The power spectrum of the signal is estimated that the use of BT power spectrum estimation method. In MATLAB in the debugger through.)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

从wind采集期权数据并整理成矩阵形式，包括计算隐含波动率等(Collect options trading data, and make the data readable, calculate the implied volatility)