GIF

用脉冲响应不变设计巴特沃斯数字低通滤波器(Designed by the same impulse response digital low-pass filter Butterworth)

多天线人之中继网络的研究，很好的一篇论文，我自己受益匪浅(The multi-antenna relay network of people, very good paper, I benefited)

说明：  很好用的小波分解程序，对初学者很有帮助。(Nice wavelet decomposition program, for beginners helpful.)

matlab code for image watermarking

SqueezeBox software version

说明：  根据前人研究成果可以证明，煤镜质组反射率各向异性对煤田构造特征具有指示意义，镜质组最小反射率可以指示构造主应力方向。然而，在实际测量中，如何得到真正的镜质组最大、最小反射率及其方位是其中的关键环节。利用现有的岩石有限应变椭球拟合方法进行镜质组反射率椭球体拟合不失为一种行之有效的方法，可以由此确定镜质组最大、最小、中间反射率及其三维空间方位。 将之前拟合得到的反射率椭圆看作岩石有限应变椭圆即二维应变，其由之前的统计方法测定得到，三个截面的数据对于拟合唯一应变椭球来说是过多的，因此不可避免出现误差，导致三个截面应变椭圆不通过同一个椭球的情况。为了从三个截面数据得到唯一的应变椭球，需要对得到的数据进行相容性调整。采用Oertel的方法，从每一测量参数在不同截面中的值是正态分布这一假定出发，利用加权最小二乘法进行误差调整。(According to results of previous studies may prove vitrinite reflectance anisotropy on structural characteristics have implications for coal, vitrinite reflectance may indicate tectonic minimum principal stress directions. However, in actual measurement, how to get real vitrinite maximum, minimum reflectivity and its orientation is the key link. Conduct vitrinite reflectance ellipsoid fitting regarded as a proven method using existing rock finite strain ellipsoid fitting method can thus determine vitrinite maximum, minimum, intermediate reflectance and dimensional spatial orientation . Before fitting the reflectance of finite strain ellipse oval rock that is seen as a two-dimensional strain, as determined by statistical methods which have been before the data fit only for the three sections of the strain ellipsoid is excessive, and therefore can not to avoid errors, resulting in three elliptical cross-section does not pass through the same strain ellipsoid situation. In order to obtai)

adaptive noise cancelling based on Adaline neural network

用满应力法对结构进行杆件截面优化设计，MATLAB编程语言(With full stress method for structure bars section optimization design, MATLAB programming language)

扇形模板，一共有七种，扇形处为灰色，其他为白色,可以旋转(sector)

维纳滤波程序,本程序用matlab 实现仿真,比较了维纳滤波和逆滤波的图像效果(Wiener filtering procedures, the procedures used to achieve matlab simulation, compared the Wiener filtering and inverse filtering of the image)