Matlab hslogic算法仿真

aco feature selection

finding the image core by matlab

这是一个地震子波波形显示及一维地震记录合成的程序(This is a seismic waveform display and one-dimensional seismogram synthesis program)

Running a function on several files in Matlab

层次分析（AHP）/网络分析（ANP)Analytic Hierarchy Process是一种十分实用的决策方法。 是对一些较为复杂、较为模糊的问题作出决策的简易方法，它特别适用于那些难于完全定量分析的问题 num:包括目标层和方案层的总层数 g:行向量（各层准则数量，包括目标层（第一层）和方案层（最后一层））。 w：返回值w是最后决策的方案层的权重，根据输出选择最佳方案 在输入矩阵时请加‘[]’号，否则会出现语法错误。 调运方式：w=hierarchy(num,g)( Analytical Hierarchy (AHP)/Network Analysis (ANP) Analytic Hierarchy Process is a very practical approach to decision making. Is the easy way of making some of the more complex, more ambiguous issues make it particularly difficult for those who complete quantitative analysis of the problem num: The total number of layers including the target layer and the solution layer g: row vector (layers Guidelines number, including the target layer (first layer) and program level (the last level)). W: w The return value is the right solution layer of the final decision of the heavy, choose the best option based on the output when the input matrix please add ' []' No, there would be a syntax error. Transporting way: w = hierarchy (num, g))

Matlab 语言编写的用于彩色分割，边缘检测，基于区域生长的图像分割(Matlab color segmentation，edge detection，region growing image segmentation.)

用均匀线阵进行DOA估计，空间平滑法，Toeplitz法，music法(With a uniform linear array DOA estimation, spatial smoothing method, Toeplitz law, music)

对图像求拉普拉斯变换，分别使用中心为-4、-8其他值均为1的拉普拉斯滤波器(Laplace transform of image, Laplace filter respectively using the center for- 4、-8，other value for 1)

由matlab仿真的,超宽带信号中矩形波的产生(Rectangular wave generated)

1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1） 检测尺度空间极值点 2） 精确定位极值点 3） 为每个关键点指定方向参数 4） 关键点描述子的生成 本包内容为sift算法matlab源码(1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe)