l1_ls

说明：  reg 转换为 hsv 的matlab源代码 subplot(221) subimage(ph) colorbar xlabel( (a)色调分量图像 ) subplot(222) subimage(ps) colorbar xlabel( (b)饱和度分量图像 ) subplot(223) subimage(pv) colorbar xlabel( (c)亮度分量图像 ) subplot(224) subimage(phsv) colorbar xlabel( (d)调整后的图像 ) (reg into the matlab source code hsv subplot (221) subimage (ph) colorbar xlabel (' (a) color component image' ) subplot (222) subimage (ps) colorbar xlabel (' (b) saturation component image ' ) subplot (223) subimage (pv) colorbar xlabel (' (c) luminance component image ' ) subplot (224) subimage (phsv) colorbar xlabel (' (d) Adjustment After the image ' ) )

一阶倒立摆建模，仿真效果的程序，同时还进行了极点配置！(Inverted pendulum modeling, simulation results of the procedure, but also for the pole assignment!)

用matlab编写的实现2009的2009次的大数计算的精确结果，这个题目是迅雷公司招聘时出的一道数学题目 .(Written by matlab implementation of the 2009 meeting of the large number of 2009 calculated the exact result, the topic of recruitment companies out of Thunder math topics.)

wavelet小波处理算法及其应用。包含了小波处理的基本应用，图像的去噪等等处理(wavelet implementation)

通信系统仿真远理与无线应用（作者willian H.tranter） 书内所用例题的Matlab代码(communication system simulation with wirless applications)

说明：  可以实现信号的降噪，对信号进行奇异值分解，里面有噪声信号和原始信号，可以用来进行对比(It can reduce the noise of the signal and decompose the singular value of the signal)

说明：  利用数学形态学构成形态学滤波器对图象进行滤波,处理效果较满意.(using mathematical morphology constitute morphological filter image filtering, processing more satisfied with the results.)

说明：  Matlab 编程设计，适合初学者的书籍(Matlab program)

matlab有限元工具箱的应用例子，找了好久才找到的，望对大家有用(Application of finite element toolbox matlab example, to find a long time to find, and hope it would be useful)

使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC，用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类(Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, where each of 100 data is obtained N-order parameter as the characteristic values ​ ​ of the vibration signal. So 10000 samples can be obtained the 100 the eigenvalue sample set. Neural network classifier can do with these sample sets)