Wavelet_analysis_matlab_code

MATLAB学习资料，感兴趣的朋友可以下载(err)

basic signal plotting exponential

粒子滤波的Matlab例程，可实现基本的例子滤波算法(Matlab routines particle filter can be realized example of the basic filtering algorithm)

汽车防抱制动系统_ABS_模糊控制系统的研究，很好的硕士论文(The Antilock braking system _ABS_ fuzzy control system, a good master s thesis)

如何在VC程序中使用MATLAB的C数学库 这是介绍在VC程序中使用MATLAB的C数学库，可以将vc和matlab结合起来。(this is a paper intruduce how to combine vc to matlab)

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))

本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。(This procedure is based on the RBF neural network to learn the upper bound of adaptive sliding mode control, can not be applied to the actual measurement of the upper bound values.)

nodule detection in matlab

里面有两组数据，然后分为训练样本组和测试样本组，都采用fisher准则判定，再对结果惊醒分析(There are two sets of data, and then divided into groups of training samples and test samples group, have adopted guidelines for determining fisher, and then woke up on the results of the analysis)

LFM信号通过匹配滤波的仿真仿真效果演示(demo of chirp signal after matched filter)