zhouqixunhuan

基于MATLAB环境下的非线性方程组的求解方法对应的代码 简单易学 便于初学者消化使用(Based on MATLAB environment method for solving nonlinear equations corresponding code is easy to learn for beginners to use digest)

simulink实例,非线性控制实例,对非线性的学习非常有用，(Nonlinear Control Example，it is very useful for us.The dynamic control model of a two-link robot arm in a vertical plane is shown )

张正友 matlab标定工具包 最原始论文 做标定的同学可以参考一下(A Flexible New Technique for Camera Calibration)

科斯塔斯环基于simulink的仿真 已封装(costas loop in simulink-based simulation Encapsulation)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

老师给的中文版S函数编写规则，中文哦，很有用的s资料(Teachers to the Chinese version of the S function written rules, Chinese Oh, s very useful information)

基于小波的脑部MR与伪彩色PET医学图像融合，低频采用加权平均，高频采用3*3区域标准差的融合规则，效果很好，内含一组脑部MR与PET医学图像(Simulation Wavelet-based for brain PET and MR image fusion, low frequency using the weighted average and high frequency using region-based standard deviation fusion rule, the effect is very good, including a set of MR and PET images)

建立simulink模型进行波图像的仿真分析(Establishing Simulink model to simulate and analyze wave image)

car tracking with kalman filterring

利用小波变换和样本熵对癫痫脑电进行识别的文章(Recognition article epileptic EEG using wavelet transform and sample entropy)