资源列表
Matlab_receiver
- matlab 软件接收机 完成跟踪和捕获 以及定位解算功能 包括运行需要的中频数据-matlab SOFTWARE RECEIVER
Nonlinear_Programming
- 非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序（3－拟牛顿BFGS方法）.m-Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M
081105
- 基于MATLAB的组合模型 在港口吞吐量预测中的应用 以某港1998--2007年集装箱吞吐量为实测数据，建立其集装箱吞吐量的灰色理论、三次指数平滑、三次多项式 等预测模型，在MATLAB下，对比该港集装箱吞吐量各模型预测拟合值与实际值的差异。分析了差异产生的原因及其单一预 测模型的局限性，提出了港口集装箱吞吐量组合预测法。其预测误差明显低于其它单模型。运用组合预测模型．可以降低误 差。提高预测精度。-A combination of MATLAB-based model i
capon
- 内含capon算法、求根music、谱估计music算法的简单举例。m文件格式，可直接运行，无错。-Capon includes algorithms, roots music, spectrum estimation of a simple algorithm, for example music. m file format, can be directly run, no mistakes.
lsqcurvefit
- 一个有关matlab解决最小二乘法函数lsqcurvefit的简要介绍，网上找的，分享了-Matlab solve a least squares lsqcurvefit function of a brief introduction, on-line to find and share.
yuanfugaiwenti
- 计算在一个矩形里，用同等大小圆来覆盖这个区域，所需要的最小圆个数，我已经运行过-Calculated in a rectangle, the circle with the same size to cover the region, the minimum required for a round number, I have to run-off
fuzzy-PID
- 模糊PID控制器设计源程序，已在matlab中运行通过，有良好的控制效果-Fuzzy PID controller design source, has been run by matlab, good control effect
Matlab-GA-algorithm-and-application-code
- 几个非常经典的实例演示，手把手教授，学习遗传算法的非常好的帮手。-Your best assistance in studing GA algorithm ！by case study
RADAR_simulation
- 一个使用MatlabGUI编写的雷达仿真程序，通过参考本程序不仅能够学习GUI的高级编程，而且能够掌握雷达信号仿真和分析的方法。-The use of a radar simulation program written in MatlabGUI, by reference to this program can not only learn advanced GUI programming, but also to grasp the radar signal simulation and a
lxy3
- 用于计算光子晶体透射率及反射率的MATLAB程序（另外一种传输矩阵）还有介质/真空/负折射介质/介质2的透射率的程序-photonics crystal program including calculateing transmission and reflection and including negative birefringence
pim
- 大连理工大学钟万颉教授的精细积分法。the pim from dalian university of science and technology.
GODLIKE
- 遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of