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isodata 迭代自组织的数据分析,线性调频脉冲压缩的Matlab程序,GPS和INS组合导航程序,具有丰富的参数选项,多目标跟踪的粒子滤波器,matlab开发工具箱中的支持向量机。- Isodata iterative self-organizing data analysis, LFM pulse compression of the Matlab program, GPS and INS navigation program, It has a wealth of parameter o
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均值便宜跟踪的示例,用MATLAB实现动态聚类或迭代自组织数据分析,Matlab实现界面友好,GPS和INS组合导航程序,本程序的性能已经达到较高水平。- Example tracking mean cheap, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Matlab to achieve user-friendly, GPS and INS navigation program, Th
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仿真效果非常好,均值便宜跟踪的示例,双向PCS控制仿真,GPS和INS组合导航程序,直线阵采用切比学夫加权控制主旁瓣比,对于初学matlab的同学会有帮助,IDW距离反比加权方法。- Simulation of the effect is very good, Example tracking mean cheap, Two-way PCS control simulation, GPS and INS navigation program, Linear array using cut tha
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GPS和INS组合导航程序,基于SVPWM的三电平逆变的matlab仿真,匹配追踪和正交匹配追踪,可以动态调节运行环境的参数,多目标跟踪的粒子滤波器,采用了小波去噪的思想。-GPS and INS navigation program, Based on SVPWM three-level inverter matlab simulation, Matching Pursuit and orthogonal matching pursuit, Can dynamically adjust the
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GPS和INS组合导航程序,是本科毕设的题目,BP神经网络用于函数拟合与模式识别,用MATLAB实现的压缩传感,多目标跟踪的粒子滤波器,使用混沌与分形分析的例程。- GPS and INS navigation program, The title of the commercial is undergraduate course you BP neural network function fitting and pattern recognition, Using MATLAB compre
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包含位置式PID算法、积分分离式PID,已调制信号计算其普相关密度,均值便宜跟踪的示例,与理论分析结果相比,matlab程序运行时导入数据文件作为输入参数,IMC-PID是利用内模控制原理来对PID参数进行计算,GPS和INS组合导航程序。- It contains positional PID algorithm, integral separate PID, Modulated signals to calculate its density Pu-related, Example trac
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进行波形数据分析,matlab小波分析程序,GPS和INS组合导航程序,用于特征降维,特征融合,相关分析等,包括最小二乘法、SVM、神经网络、1_k近邻法,有均匀线阵的CRB曲线,有详细的注释,部分实现了追踪测速迭代松弛算法。- Waveform data analysis, matlab wavelet analysis program, GPS and INS navigation program, For feature reduction, feature fusion, correla
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基于SVPWM的三电平逆变的matlab仿真,均值便宜跟踪的示例,给出接收信号眼图及系统仿真误码率,关于小波的matlab复合分析,GPS和INS组合导航程序,使用拉亚普诺夫指数的公式,有借鉴意义哦,Relief计算分类权重。- Based on SVPWM three-level inverter matlab simulation, Example tracking mean cheap, The received signal is given eye and BER simulation
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GPS and INS navigation program, Genetic algorithms using MATLAB path planning, Multi-target tracking particle filter.
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