12 小波多种方法去噪和求信噪比

说明：  关于小波分析的matlab一些程序，在各方面应用的例子，比如在图像和音频上(On the wavelet analysis matlab program)

说明：  应用svpwm调制技术的矢量控制系统，采用了simulink进行控制系统仿真(svpwm control block)

基于GA优化的SVM算法，它可以被用于预测分类(SVM algorithm based on GA optimization for prediction classification)

ultra wide band simulation 3

matlab和C混编，处理乘性噪声，求解变差模型。(Written by M. Kang, S. Yun, and H. Woo, the corresponding paper is "Two-level convex relaxed variational model for multiplicative denoising")

能够非常有效地在比较大的干扰下比较准确地反映真实值，如果观测端加入干扰较大时，卡尔曼滤波器能够较为有效地进行滤波，不过当状态端的干扰增大时，卡尔曼滤波器的滤波效果也会随之下降。(Can very effectively in the relatively large disturbances under more accurately reflect the true value, if the observation end joining interference is large, Calman filter can effectively filter, but when increasing the jamming state end when the filter effect of Calman filters will fall.)

matlab projects, histogram equalization

使用MATLAB编写的阴历和阳历转换程序(MATLAB prepared using the lunar calendar and Gregorian calendar conversion process)

将一元时间序列与卡尔曼滤波算法结合，实现风速短期预测(combine the ARMA and KALMAN to achieve short-term wind speed prediction)

神经网络，RBF聚类法和RBF自组织法的函数逼近的实现(Neural network, RBF clustering method and self-organizing RBF function approximation method to achieve)