LinearOpticalElementsGUI

采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号(an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech)

Introduction to four classic articles OFDM

曲面样条插值实现（没用householder变换，不稳定）(Surface Spline Interpolation (useless householder transformation, instability))

特征提取提取了图像中各个标记区域的纹理特征及形状特征(Feature extraction to extract texture features and shape features of each labeled region in the image )

线性调频信号脉冲压缩仿真程序，输出目标一维距离像(a simulation of LFM pulse compression , A high resolution range profile will be obtained)

jpeg compression , use DCT, Zigzag, Quantization,IDCT, InvZigzag, huffman to do the compression with matlab

A=(aij)20×20的LDLT分解与Cholesky分解(A = (aij) 20 × 20 in the LDLT decomposition and Cholesky decomposition)

seismic attenuation, well based estimation

using matlab to draw antenna beam pattern

comsol仿真计算发射和反射波，并在第一和第二衍射级作为入射角为一个导线栅的电介质基片上的角度的功能的衍射效率。平面波的入射角扫从垂直入射到掠入射。本申请还示出了用于发病的一个选定角度的多个光栅周期的电场范图。(This application computes diffraction efficiencies for the transmitted and reflected waves and the first and second diffraction orders as functions of the angle of incidence for a wire grating on a dielectric substrate. The incident angle of a plane wave is swept normal incidence to grazing incidence. The application also shows the electric field norm plot for multiple grating periods for a selected angle of incidence.)