p_wavelet

某家电企业在全国二线城市的年销售量Y(单位：万台)与该城市人口数X1(单位:万人)以及该市人均月收入X2(单位:元)之间的关系，在某年对15个城市作了调查，得上述各量的观测值（见数据表data1.txt）(A household electrical appliance enterprises in the country in sales of second-tier cities, Y (unit: million units) and the urban population, the number of X1 (unit: million) and the city' s per capita monthly income X2 (unit: yuan) between, in a particular year made a survey of 15 cities, was the amount of the above observations (see data sheet data1.txt))

能量检测，根据以URKOWITZ 在1967年发表的能量检测文章以及Digham 2003、Ghasemi 2007发表的一系列文章为参考， 在AWGN信道中，给定SNR下，先产生一个原始信号（单音或者BPSK基带信号），然后叠加高斯噪声， 再进行能量检测(Energy detection, according to URKOWITZ the energy released in the 1967 test articles, and Digham 2003, Ghasemi 2007 series of articles published as a reference, in the AWGN channel, for a given SNR, the first generating an original signal (mono or BPSK baseband signal), and then superimposed Gaussian noise, then the energy detection)

some notes abou svd in matlab functions

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

常用图像处理程序集(Matlab入门级)(commonly used image processing procedures set (Matlab entry-level))

用matlab实现了zigzag算法，实现功能：对任意维数的图片都都能进行加密和解密(Using matlab to achieve a zigzag algorithm functions: For any dimension pictures are able to encrypt and decrypt)

说明：  压缩感知matlab代码及北京交通大学论文《用于压缩感知信号重建的算法研究》(Compressed sensing matlab code, and Beijing jiaotong university papers for compressed sensing signal reconstruction algorithm research)

主成分分析法，主要用在光谱处理上的，包括可见和近红外光谱，对于其他的一些统计学数据也比较适用，包括原数据和处理后的数据(Principal component analysis (pca), mainly used on spectrum processing, including visible and near infrared spectrum, and is also applicable for other statistical data)

Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. (Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. )

HARQ程序，其中包括CRC检错、前向纠错、反馈重传等(HARQ process, including the CRC error detection, forward error correction, feedback, retransmission, etc.)