dct

在3维里面重要的就是用MATLAB模拟空间多孔介质,得到实验基础(In 3-D inside the important thing is to use MATLAB simulation of porous media space, the basic experiment)

使用matlab编写的信道估计与误码率测试程序，可以作为OFDM学习的参考,(Prepared using matlab channel estimation and bit error rate testing procedures, can be used as a reference OFDM learning,)

较简单的分级聚类，将一个样本空间分为两类(Relatively simple hierarchical clustering, a sample was divided into two categories)

三被动雷达交叉定位，去除鬼影点和杂波，点点关联概率达到8成以上。(remove noise wave； remove false intersection points ； Data association 。 )

两篇关于运动模糊参数估计和复原的文章，非常经典的文章，基本概括了参数估计的主流方法，(two paper about restore Motion blur,which is very comprehensive )

本文提出了一种滤波源码来简化图像抠图中的一个大型稀疏矩阵算法，从而优化了算法，提高了效率。(This paper presents a filter in the source code to simplify the image matting, a large sparse matrix algorithm, to optimize the algorithm and improve efficiency.)

无线传感器网络定位算法大全，包含了Centroid, Bounding_box, Grid_Scan,RSSI，V-hop，MDS-MAP等算法，最后均给出了误差分析。(Wireless sensor network positioning algorithm to Guinness, contains Centroid, Bounding_box, Grid_Scan, RSSI, V-hop, MDS-MAP algorithm given error analysis.)

本方法是对二维医学图像实现的Walsh变换，属于预处理范围，为下一步的图像分割，配准等打下基础(This method is the realization of two-dimensional medical images of the Walsh transform, belong to the scope of pre-treatment, for the next phase of image segmentation, registration, etc. to lay the groundwork)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

This result model of ring resonator fiber optics, which has develop from ebook compendium ring resonator an author Rabus (2007) from spingerlink