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粒子滤波（Particle Filtering）是基于贝叶斯估计的一种估计算法，在制导，导航，通信，金融中用着广泛应用。该程序实现了基于粒子滤波方法的动目标跟踪。-Particle Filter (Particle Filtering) is an estimate based on Bayesian estimation algorithm, using the widely used in guidance, navigation, communications, finance. The
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This particle filter program.
It is used Monte Carlo techniques for mobility tracking in
wireless communication networks by means of received signal strength indications.-This is particle filter program.
It is used Monte Carlo techniques for mo
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For feature reduction, feature fusion, correlation analysis, You can achieve data classification and regression pattern recognition, Multi-target tracking particle filter.
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Multi-target tracking particle filter, Including AHP, factor analysis, regression analysis, cluster analysis, A window function design FIR digital band-pass filter.
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Multi-target tracking particle filter, Dual-line interpolation FFT harmonic analysis kaiser windows, Interpolation and fitting matlab implementation.
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Wavelet packet analysis to extract vibration signal characteristic frequency, cordic matlab simulation algorithm, Multi-target tracking particle filter.
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