color_line3

牛顿法matlab版本的一个实例源代码，带轨迹收敛图。(a source code of newton algorithm by matlab )

thats to create aplication of hotel

对输入的语音信号进行分帧处理，低通滤波，中心削波，求自相关函数最后得到基音轨迹。(Speech input signal framing processing, low-pass filtering, center clipping, seeking autocorrelation function finally got the pitch trajectory.)

数值计算中的拟合方法 MATLAB程序 附带注释 亲测可用(linear method)

本案例基于MATLAB的GUI工具进行设计仿真实验：通过对采集的车牌图像进行灰度变换、边缘检测、腐蚀及平滑等过程来进行车牌图像预处理，并由此得到一种基于车牌颜色纹理特征的车牌定位方法，实现车牌区域定位，最后实现车牌字符的分割与识别。(In this case based on MATLAB GUI design simulation tool: through the license plate image capture through gradation conversion, edge detection, corrosion and smoothing process for the license plate image preprocessing, and thereby obtain a color texture features based on license plate the method of license plate location, license plate positioning to achieve, and finally realize the segmentation and recognition of license plate characters.)

用积分法进行反应速率分析得到速率常数k和反应级数n(Integral method for analysis of the reaction rate by the rate constant k and reaction order n)

一段很好地的改进music 算法lurootmusic(some good music to the improved algorithm lurootmusic)

用Matlab实现的一个卫星自动导航模拟系统，包括GUI设计、模型设计与实现、三维动态仿真等功能，其中运用了两个自动导航的模型，程序里有对模型的简要说明，如果有需要详细说明的，可以和我联系。(using Matlab a simulated automatic navigation satellite systems, including GUI design, Model Design and Implementation, three-dimensional dynamic simulation, and other functions, using two automatic navigation model, there are procedures to model a brief description, if a need for detailed descriptions, and contact me.)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

FFT快速傅立叶变换的代码，只需要Matlab环境即可运行。需要输入分析数据。(FFT Fast Fourier Transform code, only need to run Matlab environment. Need to enter data.)