mangping

AVR单片机 定时器的应用 初始化 以及中断程序(AVR microcontroller timer application initialization and interrupt routine)

基于m16的温度控制系统，主要用ds18b20(failed to translate)

说明：  3，STM32 FLASH模拟EEPROM资料(STM32 FLASH simulation EEPROM)

实验箱中包括6位数码管，用扫描显示方法，其中段和位分别通过xxx4和xxx2来实现。xxx由译码地址决定。比如，cs接8000译码输出。用C语言实现： 1．首先实现定义一个数组，主程序中对其赋值（非压缩bcd码），由定时器中断程序实现6位扫描显示。 2．实现由储存BCD码的每一个字节的最高位表示小数点，并且将显示范围扩展到0——F，而非简单的BCD码。 3．用次高位和第5位表示闪烁和消隐，分别实现闪烁和消隐的功能。(shu ma guan experiment of 8051)

硬件资源: 1,DS0(连接在PA8)，DS1(连接在PD2上) 2,串口1(波特率:115200,PA9/PA10连接在板载USB转串口芯片CH340上面) 3,ALIENTEK 2.8/3.5/4.3寸LCD模块(仅支持MCU屏) 4,按键KEY0(PC5)/KEY1(PA15)/KEY_UP(PA0,也称之为WK_UP) 实验现象: 按下KEY_UP键申请内存，内存申请成功以后就可以使用了，按下KEY0键 就是使用申请到的内存。当内存使用完成以后就可以按KEY1键将内存 释放掉。(Hardware resources: 1, DS0 (connected to PA8), DS1 (connected to PD2) 2. Serial port 1 (baud rate: 115200, PA9/PA10 connected on board USB to serial chip CH340) 3, ALIENTEK 2.8/3.5/4.3 inch LCD module (only supporting MCU screen) 4. Keyboard KEY0 (PC5)/KEY1 (PA15)/KEY_UP (PA0, also known as WK_UP) Experimental phenomena: Press KEY_UP key to apply for memory, memory application can be used after success, press KEY0 key That is to use the applied memory. When the use of memory is complete, you can press KEY1 to store the memory. Release.)

说明：  IC卡读写程序,内有终端PCB及原理图.爱好者可以看一下.也许会有所帮助.(IC card reading and writing process, there are terminal PCB and schematic. Lovers can look at. Maybe be helpful.)

foxBMS 接口代码，德国的开源BMS开发共享平台，对于想了解BMS开发的比较有用(foxBMS code, from foxBMS in Germany, which is open source, and its useful for people who would like doing something about BMS)

pic modified sine wave inverter circiut

Biomedical signal processing and analysis

于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相对较小、计算能力也相对较弱的实际情况，对算法进行优化。最终完成于 STM32 微处理器上的特定人语音识别系统。(Implement speech recognition processing project in commercially available STM32 development board. Identification is the process: pre-filter, ADC, framing, endpoint detection, pre-emphasis, windowing, feature extraction, feature matching. Endpoint detection (VAD) short-time amplitude and short-term zero rate combined. After detecting an effective voice, according to the characteristics of human auditory perception, calculated for each frame of speech Mel Frequency Cepstral Coefficients (MFCC). Then dynamic time warping (DTW) algorithm and feature template matches the final output recognition result. First with Matlab simulation algorithm described above, after several trials to get the optimal value of each coefficient within the desired algorithm. The algorithm will migrate to STM32 development board, the porting process according to the STM32 relatively small storage space, computing power is relatively weak situation of the optimization algorithm. Finally completed on the STM32 micr)