GUI2

This model simulates a CDMA2000 1xRTT Forward link (between Base Station and Mobile Station).

用matlab开发的B-样条工具箱，包括B-样条近似，de-boor算法等(Developed with matlab, B-spline toolbox, including B-spline approximation, de-boor algorithm)

股票数据绘图, suppose we place a limit order to sell at limit prices vol is the annual volatility of the stock and price is the current price. vol is output from estvol assumes we input Open, Close, High, Low, daily prices and the price( suppose we place a limit order to sell at limit prices vol is the annual volatility of the stock and price is the current price. vol is output from estvol assumes we input Open, Close, High, Low, daily prices and the price)

this is matlab code of time series prediction . Mackey-Glass Time Series Forecasting using Method 1 Single Stage Fuzzy Forecaster.

This function computes the RMS feature of the signals in x,which are stored in columns. The signals in x are divided into multiple windows of size winsize and the windows are space wininc apart. Inputs x: columns of signals winsize: window size (length of x) wininc: spacing of the windows (winsize) datawin: window for data (e.g. Hamming, default rectangular) must have dimensions of (winsize,1) dispstatus:zero for no waitbar (default) Outputs feat: RMS value in a 2 dimensional matrix dim1 window dim2 feature (col i is the features for the signal in column i of x)

MATLAB code for filter design for Qnm format

说明：  通过二维高斯匹配滤波器来对冠状动脉实现增强，通过多个方向的滤波使得图像的增强效果更好(Matched by two-dimensional Gaussian filter to achieve enhanced coronary artery, through the filter makes the multiple directions better image enhancement)

matlab实现光纤中光孤子传输的数值仿真研究(ssft for soliton)

基于LMS自适应时延估计算法，可以进行时间延迟估计。(Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay estimation, based on the fractional lower order covariance delay estimation method, as well as the minimum norm when the average P delay estimation method.)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)