stripmapSARMAP

高斯变异的萤火虫群优化算法，实现简单，含有6个测试函数，运行方便。(Gaussian variation glowworm swarm optimization algorithm, simple, containing six test function, easy operation.)

同态滤波算法对心音信号的包络提取,提取的包络自适应强，包络更光滑(heart sound envelop extraction based on Frequency Alterable Homomorphic Filtering, the envelop is more adaptive and smoother.)

基于模拟电荷法求解导线周围空间的空间电场(Solving the electric field around the wire based on space charge simulation method)

这是自己写的骑士巡游问题的源代码，控制台实现没有图形化(This is, the parade was the Knights of the source code, not realizing console Graphic)

conitnue for last m file

这是一个平面阵列2维方向图代码，可以通过修改参数得到竖直、水平平面阵的方向图(This is a two-dimensional planar array pattern code can be vertical, horizontal planar array pattern by modifying the parameters)

合成孔径雷达欺骗式干扰的matlab仿真源码(Synthetic aperture radar deception matlab simulation-type of interference source)

以典型汽车为例，实现汽车周围的气动环境数值模拟(Example of the typical automobile to achieve the aerodynamic environment around the vehicle simulation)

为了实现DOA和时延的联合估计,提出了一个无线通信中高分辨率的联合角度和时延估计方法,该方法不需要对参数进行搜索,利用空时矩阵的特征向量和特征值分别估计DOA和时延,通过特征值和特征向量的对应关系,估计的参数可以自动实现配对, 只要各路径信号的DOA和时延不同时接近此方法都可以适用,与JADE-MUSIC,JADE-ESPRIT和SI-JADE算法相比,该算法具有较好的鲁棒性和较小的估计误差。仿真结果证明了该算法的有效性。 (In order to achieve the joint estimation of DOA and delay, proposed a wireless communications joint angle and high resolution delay estimation method, the method does not require parameters to search using the space-time matrix eigenvectors and eigenvalues​ ​ , respectively, and the estimated DOA delay, by the correspondence between eigenvalues ​ ​ and eigenvectors, the estimated parameters can be automatically paired DOA and delay of each path as long as the signal is not close to this same method can be applied, with the JADE-MUSIC, JADE-ESPRIT and SI-JADE algorithm, the algorithm has better robustness and smaller estimation error. The simulation results show the effectiveness of the algorithm.)

(2,1,2)卷积码链路仿真,采用viterbi译码算法,采用m语言编写,并非直接调用matlab内部函数,有助于对viterbi译码算法的理解((2,1,2) convolutional code link simulation using viterbi decoding algorithm using m language, not directly call matlab internal function, contribute to the understanding of viterbi decoding algorithm)