fuzzypid

对于InSAR 系统,当波长较长时,干涉图条纹频率较低,相位解缠容易,但反演的高程精度较低 而当波长较短时,干涉图条纹频率较高,相位解缠困难,但反演的高程精度较高. 为了充分利用多波段 InSAR 干涉相位之间的互补信息,设计了利用中国余数定理的多波段InSAR 相位解缠方法,采用由DEM 仿真的多波段干涉图进行了相位解缠实验,得到了理想的解缠结果,成功解决了因地形起伏较大或基线较长而引起的干涉相位欠采样处的相位解缠难题.(For the InSAR System熏when the wavelength is longer熏the frequency of fringes will be lower熏the phase unwrapping will be easier熏and the accuracy of derived heights will be lower. However熏when the wavelength is shorter熏the frequency of fringes will be higher熏the phase unwrapping will be more difficult熏and the accuracy of derived heights will be higher. In order to make the best use of compensatory information in multi鄄band InSAR phases熏the phase unwrapping algorithm with the Chinese Remainder Theorem for multi鄄band InSAR is designed. The multi鄄band interferograms simulated from DEM are applied to do phase unwrapping experiments. The satisfying phase unwrapping results are obtained. The difficulty in phase unwrapping of sub鄄 sampling interferometric phases due to great hypsography or longer baseline is removed.)

用ICA方法进行BSS分离的源程序，有Matlab运行结果和详细实验过程，非常实用(ICA method with source separation BSS, Matlab operating results and detailed experimental procedure, very practical)

PLS regression;PLS discrimininant analysis;SPA (feature selection)

说明：  主成分分析.mht：介绍主成分分析的文章 edgepick.m：本程序的目的是实现边缘检测 drawprim.m：找到最大主分量所在的位置，从而在原图象中绘出 practical.m：一个主分量的程序，边缘检测和主分量提取 prin.m：该程序是用princomp函数来提取矩阵的主成分(Principal component analysis. Mht: the article describes the principal component analysis edgepick.m: The purpose of this program is to achieve edge detection drawprim.m: to find the location of the maximum principal component, which in the original image in the draw practical.m: a principal components process, edge detection and principal component extraction prin.m: princomp function of the program is to extract the principal component matrix)

对三维数据进行处理，得到图像的多尺度细节，进行分析处理(trea the three-dimensional data)

Matlab实用程序编程，共计百种例子，可对学习matlab的同学做参考(Matlab programming example，they are helpfull for Matlab learners)

说明：  全搜索算法，基于matlab，可以直接调用(Full search algorithm)

雷达发射线性调频信号，载频10GHz，线性调频信号带宽10MHz，脉宽5us，采样率自设，两目标距离雷达5000米和5020米 （1）模拟两个目标的回波，并进行脉冲压缩（匹配滤波），验证脉冲压缩对改善雷达距离分辨力的作用 （2）调整两个目标的间距从1米到20米，观察结果得出结论。(Radar transmitting chirp signal, carrier frequency 10GHz, chirp signal bandwidth of 10MHz, pulse 5us, sample rate set up, two goals the radar 5000 meters and 5020 meters (1) Analog two goals echo, and pulse compression ( matched filtering), verify pulse compression radar range resolution on improving the role of (2) to adjust the distance between two goals 1 meter to 20 meters, observations concluded.)

计算SENSE重建图像中的g-factor,这是并行磁共振成像SENSE算法的关键一步(G-factor is the metric to quantify the amplificaiton of noise power in reconstructing SENSE accelerated image. The detail was presented in Pruessmann s 1999 Magn. Reson. Med. paper. In theory, g-factor is the pixel-by-pixel ratio of the image variance between the SENSE reconstructed image and un-accelerated image. And g-factor depends on: (1) the k-space data trajectory (2) coil sensitivit profiles (3) noise covariance matrix of the array coil)

Programmi che descrivono l utilizzo delle CNN