SAR

采用ALR修复ETM+ slc-off影像。(It use the method of ALR to repair ETM+ slc-off image.)

时变幅度LFM干扰下的单通道盲分离算法研究(Research on single-channel blind separation algorithm under varying amplitude LFM interference)

matlab图像处理作业，对一段视频中的运动物体进行实时跟踪。利用surf进行每两帧图像的配准，并利用帧间差分法，找到物体轮廓，可追踪两个目标，请在matlab2013b环境下运行(Matlab image processing operations, real-time tracking of a moving object in video. Using surf every two frames of image registration, and use the interframe difference method, find the object contour, traceable two objectives, please run in matlab2013b environment)

导入hfss进行偶机子计算matlab程序(Import hfss for dual loom matlab calculation procedures)

说明：  层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。(There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algorithm, forcing zero (zero forcing, ZF) detection algorithm, minimum mean square error (Minimum Mean Squared Error, MMSE) detection algorithm.)

窄带CDMA（IS-95）系统的前向链路仿真，matlab完成，可执行。(Forward Link Simulation of IS-95)

AirPrime Q26 Series Development Kit User s Guide

实现对InSAR复相位信号进行基于局部频率估计的“斜坡自适应（slope-adapt）滤波” 此滤波方法特别适用于InSAR相位图滤波，能在最大限度保持有用信息的条件下滤除各种噪声。(A matlab function of Slope-adapt-filter for InSAR phase filtering. It is based on local frequency estimation.)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

基于Simulink的平坦瑞丽衰落的信道建模与性能分析(Based on channel modeling and performance analysis of Simulink flat fading)