fir-filter

实现小球下落过程的matlab的蒙特卡洛的方针。动态的显示了小球的运动。(Realizes the pellet whereabouts process matlab Monte-Carlo s policy. Dynamic demonstration pellet movement. )

电磁波电场强度的取向和幅值随时间而变化的性质，在光学中称为偏振。如果这种变化具有确定的规律，就称电磁波为极化电磁波（简称极化波）。如果极化电磁波的电场强度始终在垂直于传播方向的（横）平面内取向，其电场矢量的端点沿一闭合轨迹移动，则这一极化电磁波称为平面极化波。电场的矢端轨迹称为极化曲线，并按极化曲线的形状对极化波命名。因此如果E的失端轨迹是圆，则此电磁波称为圆极化波。(The properties of the orientation and amplitude of the electric field intensity of electromagnetic waves vary with time, which are called polarization in optics. If this change has a definite law, the electromagnetic wave is called polarization electromagnetic wave (called polarization wave). If the electric field intensity of the polarized electromagnetic wave always orientations in the plane perpendicular to the propagation direction, the terminal point of its electric field moves along a closed path. Then the polarized electromagnetic wave is called the plane polarized wave. The vector end track of the electric field is called the polarization curve and is named for the polarized wave according to the shape of the polarization curve. Therefore, if the lost track of E is a circle, the electromagnetic wave is called a circular polarization wave.)

国外经典二维喷管，matlab程序，相当经典(Nozzle matlab program)

说明：  matlab SIMULINK Arabic tutorial part 7

将阿尔法贝塔滤波原理使用MATLAB加以编程实现，并结合常用的工程参数设置形成一个子函数，可以在使用时方便的调用。主要应用于二维动目标跟踪。(Alpha Beta filtering principle will be using MATLAB programming, combined with commonly used engineering parameter set to form a sub-function, you can easily call during use. Mainly used in the two-dimensional moving target tracking.)

blind image watermarking...........image hidding in image using SVD

对图像执行自适应中值滤波，中值滤波器开始大小为3*3(Adaptive median filter)

proyecto de sistema de informacion

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

this code about optimization