FitFun

比较有用的matlab实例，给matlab初学者参考，有需要的还可以联系我(matlab)

Tsai摄像机标定算法的matlab原代码，简洁准确(Tsai camera calibration algorithms Matlab original code, concise and accurate)

对目标进行识别，采用直方图的方法，结合matlab和c语言(Target identification, using the histogram method, combined with matlab and c language)

用差分方程或数值微分解决简单的实际问题。 实验3 插值与数值积分 l 插值问题提法和求解思路 l Lagrange插值的原理和优缺点 l 分段线性和三次样条插值的原理和优缺点 l 用MATLAB实现分段线性和三次样条插值 l 梯形、辛普森积分公式的原理及MATLAB实现 l 数值积分公式的误差——收敛阶的概念 l 高斯积分公式 l 广义积分与多重积分 l 用插值和数值积分解决简单的实际问题。 实验4 常微分方程数值解 l 欧拉方法的原理及龙格-库塔方法的思路 l 局部截断误差和精度的概念 l 龙格-库塔方法的MATLAB实现，包括求解微分方程组和高阶微分方程 (data fitting)

数字信号处理关于数字滤波器的设计，并用matlab实现(Digital signal processing on the digital filter design and realization of matlab)

最小生成树matlab程序，程序简单明了，通俗易懂，能够为需要者提供很大的帮助(Minimum spanning tree matlab program, the program is simple, easy to understand, and be able to provide a great help for those who need)

说明：  一个关于遗传算法的例子，亲测有效。在理解算法实现基础上就可以很好理解代码啦，主程序直接运行gamain就可以了。(An example of genetic algorithm is given, which is effective. On the basis of understanding the implementation of the algorithm, we can understand the code very well. The main program can run gamain directly.)

本程序用于完成BPSK、QPSK、8PSK的调制仿真。并可任意扩展到MPSK和MQAM。程序分成三个部分：phase.m对基带码元序列进行脉冲成型，可选矩形脉冲，升余弦脉冲和平方根升余弦脉冲； model.m 为主程序，完成各种信号的基带星座图映射、脉冲成型和调制； command.m给出一个简单的频谱显示测试。(This procedure for the completion of BPSK, QPSK, 8PSK modulation simulation. Arbitrary and may be extended to MPSK and MQAM. Program is divided into three parts: phase.m symbol of the baseband shaping pulse sequences, optional rectangular pulse, the square root raised cosine pulse and raised cosine pulse model.m-based procedures, completed a variety of base-band signal constellation mapping , pulse shaping and modulation command.m given spectrum shows a simple test.)

说明：  用人工鱼群算法实现旅行商问题以及求解极值问题，是一种仿生物行为优化算法(Algorithm using artificial fish solving the traveling salesman problem and extremal problems, is an imitation of biological behavior of optimization)

说明：  这是黑龙江大学自控理论专业同学编写的二段递推最小二乘法!(This is the theory of controlled Heilongjiang University students prepared by the professional noticing recursive least squares method!)