Daima.rar

一个对信号进行时频分析的程序，希望对你有所帮助，请下载使用(An analysis of time-frequency signal process, I hope for your help, please download)

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.)

vcip的相关MATLAB程序和相关的代码(vcip related procedures and related MATLAB code)

Tsis is a satelit handbook and I hope that can help someone.

说明：  matlab课程大作业，共两个小程序，一个是根据shouming.txt 中的数据分析人均寿命分布情况；另一个是任意输入两个相向而行的波的幅度、频率、相位，观察这两个波叠加的动画，比如可以形成驻波、拍等典型的波(matlab course great job, a total of two small programs, one is based on shouming.txt life expectancy in the distribution of data analysis the other is the two meet each other halfway arbitrary input wave amplitude, frequency, phase, observation of these two waves superposition of the animation, such as to form a standing wave, making the typical wave)

主要介绍基于dct的数字音频水印，以及水印的嵌入和水印的提取(Introduced digital audio watermarking based on dct, and the watermark embedding and watermark extraction)

IMM-交互多模卡尔曼滤波机动与非机动模型算法实现(IMM-interactive multi-mode Kalman filtering motorized and non-motorized model)

一个简单的风速模型，基于开曼谱，分析时可以作为风电系统的输入应用(A simple wind model, based on the Cayman spectrum analysis can be used as input applications of wind power systems)

一种改进的LEACH算法和LEACH算法的比较(Comparison of an improved LEACH algorithm and LEACH algorithm)

A basic PCA classifier is provided here for a two class classification problem. An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model.