QPSKwithmatlabcode

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)

GPS捕获过程中的相干积累算法的matlab实现(GPS MATLAB)

Single phase converter control

GLCM_Features1 helps to calculate the features from the different GLCMs that are input to the function. The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually due to the different orientation and displacements used in the algorithm. Usually the values i and j are equal to NumLevels parameter of the GLCM computing function graycomatrix(). Note that matlab quantization values belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}

说明：  applications of rough sets

Source code simulating the simplest communication protocol - Stop and Wait.

These probes are for use with the Simscape multi-domain physical modeling tools (Simscape, SimHydraulics and SimElectronics). The ssc_Probes.slx library file contains probes for viewing the through and across variable for each domain. The ssc_dc_motor.slx model file is an example of how to use. See Help block for additional usage notes.

冈萨雷斯编写的数字图像处理Matlab版，是Matlab和图像处理的最佳组合(A classical digital image processing books, tells the classic algorithm for digital image processing.)

通过MATLAB工具箱运用离散傅里叶变换对正弦信号和放波信号进行傅里叶分析(Through the use of Discrete Fourier Transform MATLAB toolbox on the sine wave signal and let the Fourier analysis of signals)

matlab线性拟合程序，和大家一起分享交流，一起学习(Matlab linear fitting procedures, and sharing together, learning together)