Non-Supervised Learning for Spread Spectrum Signal Pseudo-Noise Sequence Acquisition

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An idea of estimating the direct sequence spread spectrum(DSSS) signal pseudo-noise(PN) sequence is presented. Without the apriority knowledge about the DSSS signal in the non-cooperation condition, we propose a self-organizing feature map(SOFM) neural ne
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