文中图片放大显示特效

C# 收取指定EMAIL帐户的电子邮件，类似于一个邮件客户端所完成的功能，在程序窗口中设置好目标邮件的POP3服务器地址，用户名和密码就可以，程序在读取过程中适时显示邮件有几封。

说明：  在matlab上仿真了SAR-ADC的动态性能，主要关于split结构(the dynamic property of SAR_ADC Is simulated in matlab, about split architecture)

QT document,it would be help for the new learner of qt.

说明：  采用flac2d 模拟具有一定JRC值的节理面直剪试验(Direct Shear Test Simulation of Joint Plane with Certain JRC Value by Flac2d)

关于高斯白噪声下信源数目的估计程序-On the Gaussian white noise source under the estimate of the number of procedures

说明：  发现设备: PX4 FMU V2 飞控解码，刷写固件(Discovery device: PX4 FMU V2 Flight Control Decoder, Brush Firmware)

Detailednetworkport，网络端口详解，对初学者有很大的帮助(Detailednetworkport, detailed port of great help for beginners)

126邮箱登录认证，使用python语言进行编写，进行模块划分 (126 email login,use the python language)

说明：  我提供了一个基于FXLMS的单通道前馈有源噪声控制系统的一个小例子. 为了减少噪声，我们使用控制器C（z）产生另一个“噪声”yw（k）。我们希望它破坏性地干扰X（k）。这意味着控制器必须是传播介质P（z）的模型。采用最小均方算法对控制器系数/权重进行调整。 然而，还有流体介质S（Z）留在致动器和传感器之间。我们称之为二次传播路径。所以，为了使解正确，我们需要用SH（z）来补偿调整过程，这是S（z）的估计(I provided him a little example of a single channel feed-forward active noise control system based on the FxLMS. To reduce noise, we generate another 'noise' yw(k) using the controller C(z). We hope that it destructively interferes x(k). It means that the controller has to be a model of the propagation medium P(z). Least mean square algorithm is applied to adjust the controller coefficient/weight. However, there is also fluid medium S(z) that stay between the actuator and sensor. We called it the secondary propagation path. So, to make the solusion right, we need to compensate the adjustment process using Sh(z), which is an estimate of S(z).)

阐述了负荷预测的应用研究,matlab实现了五类灰色关联度模型的计算,对于初学者具有参考意义。( It describes the application of load forecasting, matlab implements five gray correlation degree computing model, For beginners with a reference value.)