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lab exercise programs to learn matlab. easy examples to know the basic functions used in matlab coding. we can also learn how to create a circle ,spiral etc...

两自由度非线性比例前馈四轮转向模型，测汽车质心侧偏角和横摆角速度(Two degrees of freedom nonlinear feedforward four-wheel steering model, auto measuring centroid side-slip Angle and yawing angular velocity )

对海杂波背景实测数据进行基于云模型的分割(Background on measured sea clutter data segmentation based on cloud model)

实现了自适应信号处理LMS算法，分别绘出当w(0)=[0,0]T, =0.1及w(0)=[4, 10]T, =0.05时，LMS算法在两种下的权值变化轨迹、误差e(n)与迭代次数n的关系曲线(The LMS adaptive signal processing algorithm)

code to solve the gauss equation in laser

潮流调和分析非常好用的一款程序，可进行潮流调和常数的计算(Tide harmonic analysis, a very easy to use procedures, harmonic currents can be constant calculation)

说明：  基于互信息的特征选择算法，运用互信息来进行特特征选择的(Mutual information feature selection)

用Levinson算法，Burg算法，ARMA模型法，MUSIC算法来估算功率谱。并进行比较。(With Levinson algorithm, Burg algorithm, ARMA model method, MUSIC algorithm to estimate the power spectrum. And compared.)

基于LabVIEW的FSK调制解调仿真设计.....(FSK modulation and demodulation based on LabVIEW simulation design .....)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))