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说明：  采用laplace算子点云滤波 采用laplace算子点云滤波(use laplace to filter point cloud data use laplace to filter point cloud data)

共有4个MATLAB的实验内容和运用所学习的基本的知识去解决应这些问题。(Comprehensive experiment )

用C语言读取sgy格式地震数据用C语言读取sgy格式地震数据用C语言读取sgy格式地震数据(Read format using C language sgy seismic data read format using C language sgy seismic data read sgy format seismic data using C language)

HDMI 1.3A SPECIFICATION

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

this file helps for optimization using hybrid swarm intelligence.

csa simulation sar systems

in this project we develop a source code in matlab which take attendance automatically, The source code and data base are available in this file

阵列信号处理中MUSIC算法估计DOA,MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。(Array signal processing MUSIC algorithm for DOA estimation,MUSIC algorithm is a method of feature space based on matrix decomposition. From the geometric point of view, can be observed spatial signal processing decomposition into the signal and noise subspaces, obviously these two spaces is orthogonal.)

2009 Online blind image deconvolution for astronomy 源代码，多通道反卷积处理图像，远算速度比较快(2009 Online blind image deconvolution for astronomy source code, multi-channel deconvolution process images far faster calculation)