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The code implements the Fuzzy-C-Means Algorithm

主动声纳浅海信道仿真函数。在已知浅海声速梯度，声源深度，接收器深度的情况下进行仿真。(Active sonar shallow water channel simulation function. Simulation in the case of shallow water velocity gradient is known, the depth of the sound source, the receiver depth.)

多输入多输出的BJ模型，频域辨识，里边含有案例和相应的函数(BJ multi-input multi-output model, frequency domain identification)

matlab中可以运行的混合高斯模型，用于运动检测，提供了一个基本的程序框架，各种改进算法可以基于本程序进行(matlab can run Gaussian mixture model for motion detection, provides a basic framework of the program, various improvements to the algorithm based on the Program. )

matlab浪漫小礼花。（在生活中我们经常看到一些礼花，但瞬间就没有啦，这是用matlab模拟的）(matlab romantic small fireworks. (In life, we often see some fireworks, but the moment there is no matter, this is matlab simulation))

蚁群算法连续函数优化问题。包含FIT测试函数，主函数。(Ant colony optimization algorithm for continuous function. Contains FIT test function, the main function.)

Matlab program to uate pdf of guassian distribution

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.)

park transformation using simulink blocks

matlab数学建模工具箱，约束优化,非线性规划。(matlab toolbox of mathematical modeling, constrained optimization, nonlinear programming.)