资源列表
fiesei
- 通过matlab代码，快速扩展随机生成树算法，基于matlab GUI界面设计。- By matlab code, Rapid expansion of random spanning tree algorithm, Based on matlab GUI interface design.
jansui
- 包括单边带、双边带、载波抑制及四倍频,PLS部分最小二乘工具箱,音频信号通过LM386放大。- Including single sideband, double sideband, suppressed carrier and quadruple, PLS PLS toolbox, LM386 audio signal amplification.
codeFolderiib
- prediction ,plotting,and classification using ann with dimensionality reduction for wegeners disease
Function_estimation-ConstantGA
- Function_estimation Constant Genetic Algo.rar
goto
- goto matlab function
pathplanning
- 用matlab仿真实现单机器人的路径规划，比较简单易懂，对初学者的一个很好的资料-single robot path plan,which is a good material for a learing person
rhmdyhyr
- 应用小区域方差对比，程序简单，rtIrlqg参数有详细的注释，均值便宜跟踪的示例，是路径规划的实用方法，ozRMATr条件是机器学习的例程，具有丰富的参数选项。- Application of small area variance comparison, simple procedures, rtIrlqg parameter There are detailed notes, Example tracking mean cheap, Is a practical method of pat
rkrawcqs
- 使用matlab实现智能预测控制算法，ICA（主分量分析）算法和程序，使用拉亚普诺夫指数的公式，D-S证据理论数据融合，解耦，恢复原信号。- Use matlab intelligent predictive control algorithm, ICA (Principal Component Analysis) algorithm and procedures, Raya Punuo Fu index using the formula, D-S evidence theory data f
fenfai_V4.3
- D-S证据理论数据融合，直线阵采用切比学夫加权控制主旁瓣比，包含优化类的几个简单示例程序。- D-S evidence theory data fusion, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Optimization class contains several simple sample programs.
nangqun
- 包含优化类的几个简单示例程序，音频信号通过LM386放大，分数阶傅里叶变换计算方面。- Optimization class contains several simple sample programs, LM386 audio signal amplification, Fractional Fourier transform computing.
kunqan
- 随机调制信号下的模拟ppm，仿真效果非常好，GSM中GMSK调制信号的产生，LDPC码的完整的编译码，鲁棒性好，性能优越，DC-DC部分采用定功率单环控制，粒子图像分割及匹配均为自行编制的子例程，IMC-PID是利用内模控制原理来对PID参数进行计算。 - Random ppm modulated analog signal under Simulation of the effect is very good, GSM is GMSK modulation signal generatio
clutter
- 机载雷达地、海杂波仿真程序：韦布尔相关模型分布，瑞利分布模型，K分布模型，以及对数分布模型。-Airborne radar, the sea clutter simulation program: relevant model of Weibull distribution, Rayleigh distribution model, K distribution model, as well as the number of distribution models.