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复杂目标的雷达回波模拟及RD算法SAR成像(Radar echo simulation of complex targets and RD SAR imaging algorithm)

采用的是RD算法实现合成孔径雷达成像，距离－多普勒RDA二维成像仿真(RD algorithm is used in synthetic aperture radar imaging, range- Doppler two-dimensional imaging simulation RDA)

提出了结构半随机LDPC码的编码协同方案，并对该方案在不同的源到中继信道特性下 的误比特性能进行了仿真评价，结果显示该协同方案在不增加传送和接收功率的情况下，能够提供 更好的性能。(Structure of semi-random LDPC codes coded cooperative programs, and of the program in different source to relay channel characteristics, bit error performance simulation evaluation results show that the synergistic programs without increasing the transmit and receive power able to provide better performance.)

采用最基本的单纯形法编写了matlab程序，可用于求解各种线性规划问题(Matlab procedures used to prepare the basic simplex method can be used to solve a variety of linear programming problems)

说明：  二自由度碰撞系统龙格库塔数值求解方法算例程序(Numerical solution of Runge Kutta for two degree of freedom collision system)

精通MATLAB 6.5版北京航空航天大学出版社(Proficient in MATLAB 6.5 version of Beijing University of Aeronautics and Astronautics Press)

一本详细介绍matlab/simulink的用法，通过详细的介绍，可以简单易懂的学会simulink(A detailed matlab/simulink usage, through detailed description, you can learn to understand simple simulink)

全息谱的matlab代码以及应用。包含一个全息谱文件和一个应用文件。(Holographic spectrum matlab code. Contains a holospectrum file and an application file.)

拓扑优化程序 拓扑优化程序，研究生课程机械优化设计的课程大作业(Topology optimization program topology optimization program, postgraduate courses mechanical optimization design big job)

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)