matlab

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)

首先读取图像并生成二值图像，然后生成标注矩阵并用彩色显示，最后确定图像的统计性能(First reads the image and generates a binary image, and then generate the label matrix and displayed in color, and finally to determine the statistical properties of the image)

非线性支持向量机,在样本基础之上，进行预测分析。可应用于底板破坏深度计算。(Nonlinear support vector machine (SVM) )

主要用来计算给定观测序列的概率（求解HMM中的第一个问题）(Mainly used to calculate the probability of a given observation sequence (HMM solving the first problem))

Simulate "BER for BPSK in Rayleigh channel" use simulink(mathlab)

自己写的一个计算空间时频分布的程序，魏格纳威尔分布原代码(Wrote a frequency distribution calculating space program, Wigner distribution of the original code Weir)

刘金琨老师书上的滑模matlab模型程序，很具有代表性的例子。(Liu Jinkun teacher book sliding mode matlab model program, it is a typical example.)

i found in net it is good for matlam developing in power systems filed.

利用加权的排列熵算法WPE，通过白噪声加冲激信号的测试(Using the weighted permutation entropy algorithm WPE, through the white noise plus impulse signal test)

该程序完成了一个DPSK通信系统的仿真，用均匀随机数发生器产生01比特对，用差分编码将每2比特符号映射到4种信号点中之一个，绘制出了DPSK的误码率。( This procedure has completed a DPSK communications system s simulation, produces 01 bit right with the even random number generator, maps with the differential coding every 2 bits marks to of 4 kind of signal locations, drew up the DPSK error rate. )