db1

programer test is peogramming

对电路板的图像进行分割，可以提取电路板中的目标物，以对电路板进行检测。文章使用K均值聚类算法完成对电路板图像的分割，针对传统的K均值聚类算法的不足，提出了使用直方图波形的有效波峰个数来确定K值的大小，并通过使用一种比传统的绝对误差的表示更简洁的表达式，达到了快速分割的目的。对一些电路板图像分割的实验结果表明，文章的方法能够根据目标物的数目有效的确定K值的大小，且比传统的K均值算法减少了运算量及计算时间。 (On the circuit board image segmentation, to extract the target board to the circuit board for testing. Article using the K means clustering algorithm to complete the circuit board image segmentation, the traditional K-means clustering algorithm, the paper proposes the effective use of histogram peak wave number of K values to determine the size, and by using a ratio of absolute error of the traditional expression that is more concise, to the fast segmentation. For some circuit board image segmentation results show that the method can be according to the article the number of valid target value to determine the size K, and K-means algorithm than the traditional reduced computation and computing time.)

用burg算法对信号的功率谱进行估计，基于MATLAB(Burg algorithm with the signal power spectrum estimation， based on MATLAB。)

Matlab编程实现FFT变换及频谱分析的程序代码（适合初学者加强理解）。（1)用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图；(2)进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选；(3)做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱；(4)用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图。(Matlab codes for FFT Understanding which contains sine wave,rectangular wave and the reletaed frequency spectrum figure about MSE,Log,IFFT and so on.)

Cart-pole problem solition with python

通过matlab编写代码演奏的卡农，用的基准音，没有加入波形修饰所以音色比较单一(matlab matlab playing playing Khanom Khanom Khanom matlab played)

matlab基于神经网络，能够较好的实现，作预测的matlab程序，BP神经网络算法的matlab代训练好的网络文件预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图(MATLAB-based neural net)

Using high-order cumulants of MPSK signal modulation recognition, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Principal component analysis of multivariate data analysis projection.

文章在传统的分散压缩感知理论的基础上提出了一种新的联合压缩感知新算法，利用所要恢复的信号之间的相关性进一步减少所需要的采样点。(Scattered articles in the traditional theory of compressed sensing based on the proposed joint compression, a new perception of the new algorithm, using the signals to restore the correlation between the need to further reduce the sampling points.)

标幺化模型下的感应电机转矩——转速特征曲线的验证，标幺化的转速范围为[0-2]，如仿真步长不为1/8e3，仿真前请调整(Under the per-unit model induction motor torque- speed characteristic curve verification, per unit of speed range [0-2], such as simulation step 1/8e3 simulation before adjustment)