MATLAB

说明：  下面的程序是求多项式y=x^6-10x^5-26x^4+344x^3+193x^2-1846x-1680在区间[-8,8]的最小值，误差不超过0.001。对于这个复杂的多项式，可先用matlab绘制函数的大概曲线，确认函数的最小值大概处于[-8,8]之间，再用本程序求出精确解。 (The following procedure is a polynomial y = x ^ 6-10x ^ 5-26x ^ 4+344 x ^ 3+193 x ^ 2-1846x-1680 in the interval [-8,8] of the minimum error is not more than 0.001. This is a complex polynomial, can first draw function with matlab about curves, to confirm the function of the minimum are probably in [-8,8] range, and then find the exact solution of this program.)

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future

旋转Y切-弹性压电薄膜，谐振器的特性计算及分析，用MATLAB编程计算。(Rotated Y-cut- elastic piezoelectric thin film resonator characteristic calculation and analysis, calculated using MATLAB programming.)

说明：  Newman快速算法的matlab源代码(Matlab Source Code for Newman Fast Algorithms)

Complex wavelet structure similary

一个萤火虫算法，很好用的。只需要换测试函数即可。不过请注意例如萤火虫个数的等参数的更换。(A firefly algorithm, easy to use. Merely need to replace the test function can be. Oh Oh Oh Oh)

ode45 function- the matlab code of ode function

该程序可实现多个图像的线性分离，假设在无噪声情况下，运用多种方法实现分离。(the procedure can be more than a linear image separation, assuming no noise, using various methods to achieve separation.)

自己写的关于窗函数的matlab程序,便于学习滤波器的设计(window function and spectrum analysis)

说明：  对人体的图像序列进行unscented kalman filter 追踪，参考最经典的UKF算法编写，是学习UKF算法的比较入门的程序(Image sequences on the human body, unscented kalman filter for tracking, the most classical reference to the preparation of the UKF algorithm is a learning algorithm UKF procedure entry )