Solution-of-nonlinear-equations

用相位相关方法做的图象拼接程序,可进行图象拼接(Phase correlation method used to do image stitching process, images can be spliced)

MATLAB遗传算法OX变换的源代码(OX Transform MATLAB genetic algorithm source code)

Subcarrier allocation in mimo-ofdma

对信号进行小波变换，得到小波系数和逼近系数，求出各个频率段的能量（能量=小波系数的平方和(wavelet transform)

说明：  优化理论与方法的黄金分割法matlab程序(Optimization Theory and Methods of golden section method matlab program)

偏微分方程的MATLAB解法,包括偏微分方程工具箱，图形用户界面，典型方程及实用例子，工具箱命令，有限元和有限差分法常微分方程解法(matlab solutions for partial differential equation )

说明：  在塔式太阳能发电系统中，实现了定日镜的最小二乘法校正功能。(Solar power system in the tower to achieve a least-squares method heliostat correction.)

The E-book is good to master in C.

光波导中光参量放大过程传播到L处的各光波波形图仿数值真matlab代码(Waveguide optical parametric amplification process spread to L is the value of the true light waveform simulation matlab code)

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.)