  A simple technique for decoding an unknown modulated chaotic time-series is
presented. We point out that, by fitting a polynomial model to the modulated
chaotic signal, the error in the fit gives sufficient information to decode the
modulating signal.
  For analog implementation, a lowpass filter can be used for fitting. This
method is simple and easy to implement in hardware.
