GPIO

说明：  选用ZYNQ SoC作为智能相机系统的硬件处理平台，依据系统设计需求，将系统整体功能结构的开发划分到用户空间、内核空间、底层硬件三个层面。在硬件层，对系统硬件功能进行了模块化设计，分别对基于USB和OV7725的双通道图像采集模块、HDMI显示模块进行开发。(Zynq SOC is selected as the hardware processing platform of the intelligent camera system. According to the system design requirements, the development of the overall functional structure of the system is divided into three levels: user space, kernel space and bottom hardware. In the hardware layer, the hardware functions of the system are modularized, and the dual channel image acquisition module and HDMI display module based on USB and ov7725 are developed respectively.)

bam150 重力传感器的驱动代码for linux(Bam150 gravity sensor driver code for Linux)

ESP32最新驱动代码 TI官方支持无缝衔接(ESP32 latest driver codeTI officially supports seamless connection)

S3C2410 touch panel TouchPanel----触摸屏实验(S3C2410 touch panel)

这是一款基于linux开发平台下的图形接口犀利如软件，可调用其中的API函数，实现任意画线、画圆、画点的功能~(This is a linux-based development platform, such as under the sharp graphics interface software, which can call API functions, an arbitrary line drawing, circle, draw point features ~)

嵌入式linux下mjpg-streamer采集视频源码，采用V4L2架构写的

linux下的ds18B20的驱动，可以学习cdev驱动的模式(driving under the ds18B20 linux, cdev-driven model can learn)

实例接受，很好的源码，自己感觉很不错，大家换一下载(Examples of acceptable, very good source that they feel very good, everyone-for-1 download)

在linux平台下,纯c写的盲信号分离的代码.它采用基于卷积混合的盲信号分离算法,不但可以分离人工合成的混合信号,而且对于真实环境中的卷积混合的语音信号也能够分离.在本程序中,包含了两个测试文件,makefile后便可以直接使用. 另外值得一提的是,压缩包里包含有一些语音处理方面的常用函数.例如fft变换,读取写入wav文件,以及一些常用的一维向量和二维矩阵变换的函数.这些可以直接应用在其他应用程序里去.(Linux platform, the blind signal separation of pure c write code. Blind signal separation algorithm based on convolution mixed, can be separated not only synthetic mixed-signal and voice signal convolution mixed in real environment can separation in the program, contains two test files can directly use the makefile after. Also worth mentioning is that the compressed bundle includes voice processing commonly used functions such as fft transform read write wav file, as well as some of the commonly used one-dimensional vector and two-dimensional matrix transform function. these can be applied directly into other applications.)

BP neural network function fitting and pattern recognition, Convolution operation is intended to signal and image rendering, Including regression analysis and probability and statistics.