STM32带死区三相互补PWM

是一个个人资料管理的例程，将个人的一些简单资料输入便可管理(is a personal information management routines, some simple personal information management can be imported)

Minix下brk系统调用的改进与实现（含文档）(Minix improved under the brk system call)

用MSP430F449设计的开发板程序,有助于初学者熟悉开发板并进行进一步的开发学习(Development board with MSP430F449 program designed to help beginners familiar with the development board, and further develop the learning)

介绍的是对于钙信号传导的某种简化模型的模拟(Described the simulation of a simplified model for calcium signaling)

为了提高公路边坡安全系数求解效率及计算精度,通过分析安全系数求解原理(JHDKALHHVJVKVKJVKSVHSK)

一个用C#写的分页程序，大家可以看看，很好的-a written using C# Pagination procedures, we can see, very good

P1口扩展实验 P1口既做输入口又做输出口，KEY1做为左转弯开关，KEY2做为右转弯开关。LED5、LED6做为左转弯灯，LED7、LED8做为右转弯灯（如图2-2）。 编程实现汽车转向灯功能，即：KEY1接高电平KEY2接低电平时，右转弯灯灭，左转弯灯以一定频率闪烁（注意：KEY拨向上方为0）；KEY2接高电平KEY1接低电平时，左转弯灯灭，右转弯灯以一定频率闪烁；KEY1、KEY2同时接低电平时，发光二极管全灭；KEY1、KEY2同时接高电平时，发光二极管全亮。(P1 I extended not only to do experiments P1 I also do input output, KEY1 switch as a left turn, KEY2 as switches and turn right. LED5, LED6 as a left turn lights, LED7, LED8 as lights and turn right (Figure 2-2). Programming car turn signal function, namely: KEY1 high key2 access low-level access, the right turn lights out, left turn to a certain frequency of flashing lights (Note: KEY allocated to the top to 0) KEY2 access high Key1 low-level access, the left turn lights out, turn right to a certain frequency of flashing lights KEY1, KEY2 low at the same time, the light-emitting diode body KEY1, KEY2 high at the same time, the light-emitting diode light-wide.)

实用的定位软件，能显示信道信息强弱，时间，速度，高度等等，本人经常使用来观察GPS模块的情况，确实好用(Practical positioning software can show the strength of channel information, time, speed, altitude, etc., I often used to observe the situation in GPS module, really easy to use)

ST7706收音处理程序，包含功能有：自动搜台，自动存储，浏览，播放预存台等。(ST7706 radio processing program includes features include: automatic station search, automatic storage, browsing, playing stored Taiwan.)

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)