kriging0matlab02

多种方法来估计无线电带宽的MATLAB原码(The estimation of wireless signals)

一款用于用户，天线设计技术文件，直接学习就可以制作了，无需软件支持！(A refd raida wokes)

UCA Real Beamforming performance via SNR

MATLAB实用程序的100个具体例子,覆盖面很广,绝对超值(MATLAB practical procedures hundred specific cases, the coverage is very broad, absolute Value)

matlab code for polyphase implementation

Signal Detection and Estimation 关于信号检测与估计的一本英文电子书，本书首先介绍了一些信号的随机过程，然后详细地介绍了一些信号检测和估计的方法。很好的一本外文书，大家一起分享。(Signal Detection and Estimation。This book is primarily designed for the study of statistical signal detection andparameter estimation. In the first,it present concepts on probability and random variables. Then,it present Statistical Decision Theory，Parameter Estimation.It is really a good book,share with all of you.)

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)

快速傅立叶变换的matlab实现，一维情况下利用蝶形算法实现(Fast Fourier Transform Implementation of Matlab, a dimension of the use of butterfly Algorithm)

This contains program for alising ...

matlab图像处理宝典，内容很全面，适合自学者和相关领域的研究人员。(matlab image processing Collection, the content is very comprehensive, suitable for self-learners and researchers of related fields.)