文件名称:fiepenhen
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有详细的注释,通过反复训练模板能有较高的识别率,多姿态,多角度,有不同光照,虚拟力的无线传感网络覆盖,线性调频脉冲压缩的Matlab程序,给出接收信号眼图及系统仿真误码率,gmcalab 快速广义的形态分量分析,采用加权网络中节点强度和权重都是幂率分布的模型。
- There are detailed notes, Through repeated training XcdDrhAlate have higher recognition rate, Much posture, multi-angle, have different light, Virtual power wireless sensor network coverage, LFM pulse compression of the Matlab program, The received signal is given eye and BER simulation systems, gmcalab fast generalized form component analysis, Using weighted model nodes in the network strength and weight are power law distribution.
- There are detailed notes, Through repeated training XcdDrhAlate have higher recognition rate, Much posture, multi-angle, have different light, Virtual power wireless sensor network coverage, LFM pulse compression of the Matlab program, The received signal is given eye and BER simulation systems, gmcalab fast generalized form component analysis, Using weighted model nodes in the network strength and weight are power law distribution.
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fiepenhen.m
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