CF SD IDE接口协议，如规范，非常容易使用，发展。

CAN总线协议实现--基于stm32的，上层应用界面由PC端的Qt环境下的C++语言编写，下位机CAN总线协议基于STM32.

IPC共享内存例子，用共享内存让两个窗口间相互公用一段内存，实现沟通-IPC shared memory example, using shared memory between two windows so that the common section of memory, the realization of communication

Turbo C编写的串口测试程序，可作主板维修时调试和测试串口使用。-Turbo C, prepared by serial testing procedures can be used for motherboard repair debugging and testing serial port to use.

introduce a famous inequality in statistical signal processing. This inequality can be used widely in equalization and communication signal processing

这是我自己编写的串口调试程序，希望对大家有所帮助-This is what I have written serial debugger, we want to help

MRCP V2版协议，MRCP2.0主要将RTSP协议修改为SIP协议-MRCP V2 version of the agreement, MRCP2.0 mainly RTSP protocol amending the agreement for the SIP

集成地图的编程方法。地图算法中使用。 很有价值的参考。-integrated map programming method. Map algorithm used. Valuable reference.

OPNET仿真实例，有助于初学者的快速学习。-OPNET simulations help beginners learn fast.

原模图分析译码门限值时，传统的EXIT不能用，所以采用pexit图，是原模图分析的最重要的工具。文中提出了一种新的外部信息转移分析方法，主要针对基于原模图和多边形的LDPC码 ，进一步介绍了边连接的限制，对于这一类的许多类型的码字，传统的EXIT图分析方法不能应用，文中提出的PEXIT图考虑了边的连接，允许对基于原模图的LDPC码的译码收敛估计，允许设计高结构化的接近容量的LDPC码

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier -ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but