jlfx

经过测试，发现这个代码结果很好，而且可以 和别的程序结合，恩不错的(tested and found very good results this code, but can and other procedures, TU good)

some useful programs

用Rosen梯度投影法求解约束多维函数的极值 用外点罚函数法求解线性等式约束多维函数的极值 用外点罚函数法求解一般等式约束多维函数的极值 用内点罚函数法求解约束多维函数的极值 用混合罚函数法求解约束多维函数的极值 用混合罚函数加速法求解约束多维函数的极值 用乘子法求解约束多维函数的极值 用坐标轮换法求解约束多维函数的极值 用复合形法求解约束多维函数的极值 (Rosen gradient projection method for solving constrained multi-dimensional functions the extremal with outside point penalty function method for solving linear equality constraints multidimensional function the extremal with outside point penalty function method for solving the general extremum with of equality constraints multidimensional function within point penalty function method for solving constrained multidimensional function extremum with mixed penalty function method for solving constrained multidimensional function extremum with mixed penalty function acceleration method for solving constrained multidimensional function extremum multiplier method for solving constrained multidimensional function extremum with coordinate alternation method for solving constrained the multidimensional function extremum complex method for solving constrained multidimensional function extremum)

分析双极性不归零码的功率谱特性请输入随机序列的长度N= (ubplot(312) plot(f,lpf) title( 低通滤波器 ) axis([-fs/2 fs/2-0.2 1.2]) subplot(313) plot(f,abs(yr_lpf)/N) title( 经低通滤波后的频谱 ) xlabel( f /Hz ) )

仿真一维均匀平面电磁波在自由空间（理想介质）中的传播(Simulation of a one-dimensional uniform plane wave in free space (ideal medium) the propagation)

SAR成像的算法，是一些比较基本的成像成像程序，对sar成像的入门应该比较有帮助的(SAR imaging algorithms, it is some of the more basic imaging imaging procedures, imaging sar entry should be more helpful)

Face recognition program in Matlab

空时编解码程序，包括频偏信道模型（瑞利信道模型可选）(Space-time encoding and decoding procedures, including frequency offset channel model (Rayleigh channel models are available))

MatlabBGL. A Matlab Graph Library. MatlabBGL is a Matlab package for working with graphs. It uses the Boost Graph Library to efficiently implement the graph algorithms. MatlabBGL is designed to work with large sparse graphs with hundreds of thousands of nodes.

Subject Parser extends Header Parser Source Code for Andriod.