convolution

功能很齐全含有ASK，PSK等。我想大家很需要它。希望大家下载它。(Function is complete with ASK, PSK, etc.. I think we very much need it. I hope you download it.)

creates arraymap in kernel with key 4 bytes and value 8 bytes.

多用户MIMO系统中一种基于干扰抑制类的预编码方法——最大信漏噪比预编码（SLNR）(an interference suppression algorithm for multi-user MIMO system-SLNR precoding)

用matlab求两个向量的相关函数，可以直接执行(Using matlab for the correlation function of two vectors can be directly executed)

loading a text file from a directory to your workspace in 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)

说明：  Objects forming possible solution within original problem context are called phenotypes, their encoding, the individuals within the GA, are called genotypes. The representation step specifies the mapping the phenotypes onto a set of genotypes. Candidate solution, phenotype and individual are used to denotes points of the space of possible solutions. This space is called phenotype space. Chromosome, and individual can be used for points in the genotye space. Elements of a chromosome are called genes. A value of a gene is called an allele. Variation Operators The role of variation operators is to create new individuals old ones. Variation operators form the implementation of the elementary steps with the search space.

cdma matlab code full one

this file about turbine modeling

Data Fusion in Wireless Sensor Networks