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器件SN65LBC184手册，便于学习者学习开发！(Device SN65LBC184 manual for ease learners develop!)

CAN (CAN )

说明：  这是一个使用了8位移位寄存器HC595的电子钟程序，里面包括了仿真程序。以及HC595的操作说明。(This is a used 8-bit shift register of the electronic bell HC595 procedures, which include the simulation program. As well as instructions HC595.)

1. 本研究利用 PCA 对可见-近红外（450～1 000 nm）、可见光（450～780 nm）和近红外（780～1 000 nm）光谱区域的苹果高光谱图像数据进行降维，获得 PC 图像，通过对 PC 图像进行分析，确定可用于分割损伤和正常区域的有效光谱区域，对比分析几个光谱区域的 PCA 的效果。(but currently no practical system for detecting blood spots and dirt stains exists. In order to obtain maximum throughput, processing speeds of over 85,000 eggs per hour are common. The demanding requirements placed on the human workers result in two types of grading errors)

STM32L152VB的AD采集程序，7通道DMA方式采集，通过串口发送到PC，本人查阅多方资料亲自编程测试，可直接用。附带STM32L152VB工程模板，本人根据资料自己建的。(The AD STM32L152VB acquisition program, 7 channel DMA acquisition, through the serial port to send to the PC multi access information, I personally programming test, can be directly used. With STM32L152VB project templates according to the data, I built myself. )

说明：  通过计算机25针并口读写SPI总线Flash存储器(25-pin through the computer parallel port read and write SPI bus Flash memory)

灯光协议的DMX12 的源代码，单片机编写(mifare)

通过一个简单例子，说明C语言对于学习单片机的重要性，有助于新手的入门.(By a simple example to illustrate the C language for learning the importance of SCM to help novice entry.)

本程序可自动监测被测主机中的所有文件的操作，通信包截获等(The program can operate automatically monitor files, such as intercepted communications package)

TI公司的ADS1299是8路低噪音同时取样的24位delta-sigma ADC,并内置了可编程增益放大器(PGA),基准电压和振荡器,集成了脑电图(EEG)所需的通用特性.器件具有非常低的输入参考噪音:1.0 μVPP (70-Hz BW),没路的功耗5mW,输入偏置电流300pA,数据速率250SPS到16kSPS,C1.0 μVPP (70-Hz BW),CMMR为-110dB,可编程增益为1, 2, 4, 6, 8, 12或24,单极或双极电源工作,主要用在医疗仪器如EEG和ECG,听觉诱发电位(EAP),脑电双频谱指数(BIS),睡眠研究监测等,高精度多路信号采集.(The ADS1299 is a low-noise, multichannel, simultaneous-sampling, 24-bit, delta-sigma (ΔΣ) analog-to-digital converter (ADC) with a built-in programmable gain amplifier (PGA), internal reference, and an onboard oscillator. The ADS1299 incorporates all commonly-required features for electroencephalogram (EEG) applications.)