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51单片机和12位ADC tlc2543的加上12864液晶和12位DAC7611以及矩阵键盘的连调程序，调试已通过，在硬件电路也调试通过，精度很高。(51 single and 12-bit ADC tlc2543 the plus 12864 and 12-bit DAC7611 and the transfer matrix keyboard with the program, debugging has passed, the hardware circuit debugging, high precision.)

机器学习实战中文版，基于Python语言，适合初学者(Machine Learning in Action(Python))

combobox和checkbox的组合，在下拉框中的选项可以check．-combobox and checkbox mix, in the drop-down box options can check.

OLED Display on SSD1306 with STM32F103C8T6

软件的使用方法极为简单。输出信号时，只要选中或取消引脚号，就能在相应的引脚得到相应的脉冲信号（统一为选中为高电平，取消为低电平），“清零”按钮为对应该组的所有信号清零。 输入信号的波形显示，按“开始”按钮为开始进行显示，“停止”为暂停。-software is extremely simple to use. The output signal, as long as the elections or cancel pin, can the corresponding pin corresponding to the pulse signal (for the elections to allow high output, to remove the low-level). "Reset" button to the right of all groups should be reset signal. The input signal waveform shows that the "start" button to start showing that the "stop" for the suspension.

石子归并问题：在一个圆形操场的四周摆放着N堆石子(N

基于dq坐标系下搭建了系统的增强型锁相环系统PLL，相比传统dq坐标系下的仿真模型，其仿真结果非常好！(An enhanced PLL based on dq coordinate system is built. Compared with the traditional simulation model in dq coordinate system, the simulation results are very good.)

This programme is useful to nural network specialists.

在频域中组合空间域和局部相位量化（LPQ）的局部二进制模式（LBP）用于面部识别。 首先，从LBP特征和频域中提取人脸图像以提取LPQ特征，然后合并到LBP / LPQ直方图中以比较直方图相似度。 最后，使用最近邻原则来识别。 在YALE和AR标准人脸数据库上的实验表明，该方法获得的结果优于单一方法。(A local binary pattern (LBP) combining spatial domain and local phase quantization (LPQ) in frequency domain for face recognition. Firstly, the face image is extracted from the LBP feature and the frequency domain to extract the LPQ feature, and then merged into the LBP /LPQ histogram to compare the histogram similarity. Finally, the nearest neighbor principle is used to identify. Experiments on the YALE and AR standard face databases show that the results obtained by this method are better than the single method.)

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