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帮住MATLAB初学者学习该软件，适合入门学习。(easy MATLAB)

最近在研究用友软件时收集到的资料，EAI.(UF software recent study collected information, EAI.)

uav detection using acoustic signal and sound detection.

matlab tutorial for perfect beginners

npc 3-level inverter spwm matlab

说明：  该文件是极值算法的研究，包括一个主程序，一个最适应值程序和一个EO源程序，已通过系统仿真测试(The file is extremal algorithm, including a main program, one of the most fitness programs and a source EO has been tested by simulation)

The function impulsive_noise generates non-gaussian noise with inputs of beta, gamma,and the power of noise is 1 in W or 0 in dB. The noise can be defined either real or complex. The other functions generate QAM symbol and insert a vector to another vetor with specific locations

Convert data (an array of integers) to a Base64 string.

GUI光学薄膜多层膜系反射率分析，绘制反射率与波长、角度的函数曲线，计算带宽(Optical thin film multilayer reflectivity analysis, draw the function curve of reflectivity and wavelength, angle, calculate bandwidth)

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)