CPPandMATLABHybrid-Programming

数控机床DDA直线插补源代码程序，可以实现4个象限的直线插补，步长可变(CNC machine tools DDA linear interpolation source code program, you can achieve a linear interpolation of the four quadrants, step variable)

The sign language recognition to create a to store the training image, the video capture infront the user image and each sign language assign the letter the preprocessing the image then image is convert into rgg to cbcr. The image is segmented feature extract the shape and skin color then use the svm classification.

matlab解微分方程的方法，从常微分开始，比较详细(matlab solutions of differential equations)

一个用于对汽车销售公司进行财务数据回归分析的实例(A car sales company financial data regression analysis instance)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

小波包分析提取振动信号中的特征频率，经典的灰度共生矩阵纹理计算方法，可实现对二维数据的聚类。( Wavelet packet analysis to extract vibration signal characteristic frequency, Classic GLCM texture calculation method, Can realize the two-dimensional data clustering.)

基于lyapunov函数的模型参考自适应控制程序(based on lyapunov of MRAC)

用来解薛定谔方程的很好的代码，可以解氢原子及类似的原子的本征能谱(Solution of the Schrodinger equation for a good code, and similar solutions of hydrogen atoms in the intrinsic spectrum)

Fisher 线性判别分析算法matlab实现及感知器算法实现(Fisher linear discrimination analysis，perceptron)

modulation demonstration of a sin wave