Deblur-Algorithm

说明：  利用计算机编程实现加性干扰信号的维纳滤波。将计算机模拟实验结果与理论分析结果相比较，分析影响维纳滤波效果的各种因素，从而加深对维纳滤波的理解。(computer programming additive interference signal the Wiener filter. Computer simulation results with the theoretical results of the analysis, compared Wiener filtering analysis on the factors that effect, so as to enhance the understanding of the Wiener filter.)

matlab code problem contemporary communication using matlab

genetic algorithm on optimization Parameters program

说明：  计算有限长圆柱轴承的雷诺方程的有限差分法。(A finite difference method for calculating the Reynolds equation of a finite length cylindrical bearing.)

该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋(The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib)

这是一个优化IIR滤波器的源码,能设计出4个极点0个零点的IIR优化滤波器(This is an IIR filter optimized source code, will design four pole 0 0.1 IIR filter optimization)

Performs nearest-neighbor or linear interpolation much faster than interp1 when an evenly-spaced lib

为了提高通信系统的信息传输速率，人们提出了UWB通信系统，即Ultra-Wideband 通信系统。在UWB系统中，信号的带宽一般都在GHz的量级，这么宽的带宽造成了UWB系统和现有的通信系统频谱的重叠。为了降低对现有通信系统的影响，UWB信号的设计需要满足一定的频谱模板。如果一个信号的频谱基本满足频谱模板的规定（即在绝大部分频段内功率小于规定区间的上限），我们可以认定其为一个UWB信号。(In order to improve communication systems, information transmission rate of UWB communications systems have been proposed, namely, Ultra-Wideband communication systems. In the UWB system, the signal bandwidth will generally be in the order of GHz, caused such a wide bandwidth of UWB system and the existing communications system spectrum overlap. In order to reduce the impact of the existing communication systems, UWB signal design needs to meet certain spectral mask. If a signal spectrum can basically meet the spectral mask (that is, in most of the provisions of band power is less than the maximum range), we can assume it as a UWB signal.)

对图像进行约束最小二乘滤波复原，并调用edgetaper函数,减弱噪声放大效应和振铃现象(image restoration deconvreg)

协同PSO算法是运用协同组合方法，采用K均值来分类，PSO辅助来实现聚类分析(PSO algorithm is the use of collaborative synergistic combination of methods, the use of K-means to classify, PSO assisted to achieve clustering analysis)