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利用单带滤波器来设计一个半带滤波器，并显示半带滤波器H0,H1,及 H0+H1的幅频响应 单带滤波器的归一化截止频率为0.84,长度＝16，半带滤波器的长度＝31。(to explain how to design a biorthogonal FB by Lattice structure)

一个matlab编写的基于volterra行为模型的数字预失真仿真程序。(Volterra matlab writing a behavioral model based on the number of pre-distortion simulation program.)

说明：  统计学的一些简单的小程序,希望大家可以帮忙改以下(statistically small number of simple procedures in the hope that we can help with the following)

Simulate PID for process control using matlab

生命迹象探测步进频仿真生命迹象微弱目标探测步进频仿真(Vital signs to detect faint signs of life stepping frequency simulation target detection step frequency simulation)

说明：  Basic of enchancement

说明：  基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序(Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs)

说明：  P0801：索书号文字图像分割 P0802：粘连字符切分 P0803：文字识别 P0804：彩色车牌分割 P0805：商标文字分割 Recognition：文字识别的识别子函数 StrDetect01：文字识别的结构特征提取子函数 (P0801 : Call text image segmentation P0802 : adhesion character segmentation P0803 : Character Recognition P0804 : color plates separated P0805 : Segmentation Recognition trademark characters : Character Recognition Recognition Functions StrDetect01 : Character Recognition structural feature extraction function.)

说明：  DVHOPE算法 网络技术中经典算法 适合初学者(DVHOPE algorithm for network technology in the classical algorithm for beginners)

The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.