kaffeemaschine

lsb算法将水印图像按最不重要位(LSB)方法嵌入到载体图像中，在把水印从载体图像中提取出来(This is a LSB algorithm that embedding watermark into the least important part of the primary image, and the watermark can be extracted from the primary image.)

一个界面，输入机器人结构参数，点击按钮，即可得到末端的奇次变换矩阵(An interface, enter the robot structural parameters, click the button, you can get at the end of the odd transformation matrix)

matlab design of chebyshew bandstop filter

Geometric adaptive deblurring

说明：  四旋翼无人机是一种可以被遥控也可以在无人为控制的状态下执行预定任务的飞行器，与传统直升机相比四旋翼飞行器的机械结构简单，且具有高精度，灵活精度以及较低成本的特点，被广泛用于军事侦察，农艺播撒、快递派送、摄影工作等领域。四旋翼飞行器自身具有欠驱动、多变量、非线性等特性，在外界的噪声干扰情况下，增加了四旋翼无人机的不稳定以及控制系统的设计难度。所以对四旋翼飞行器的位姿控制的研究，可以开拓科研人员对控制算法以及滤波算法的认知，具有重要的研究意义。(Four-rotor UAV is a kind of aircraft that can be controlled remotely or perform scheduled tasks without human control. Compared with traditional helicopters, the Four-rotor UAV has simple mechanical structure, high precision, flexible precision and low cost. It is widely used in military reconnaissance, agricultural broadcast, express delivery, photography and other fields. Four-rotor UAV has the characteristics of under-actuation, multi-variable and non-linearity. Under the circumstance of external noise, the instability of Four-rotor UAV and the difficulty of control system design are increased. Therefore, the research on attitude control of Four-rotor aircraft can broaden the knowledge of control algorithm and filtering algorithm for researchers, and has important research significance.)

KNN是一种有效的模式识别分类算法，本文件在Matlab平台实现KNN算法在模式识别中的运用。(KNN is an effective pattern recognition classification algorithms, this document is in the Matlab platform implementation KNN algorithm in the application of pattern recognition.)

An Introduction to Pattern Recognition: matlab approach

说明：  使用GS理论简单实现相位重建的算法，图片包含在内(Simple Phase Reconstruction Using GS Theory)

系统是关于用于移动通信中的窄带智能天线系统(Full system design for narrowband smart antenna systems used in mobile communications. )

在MATLAB下运行后可以得到一个日历界面，并且有时间显示！(Run in MATLAB can interface with a calendar and time display!)