The technique of signal analysis by adaptive predictive
filtering has previously been extended to the case of multi-dimensional signals, and
it has been conjectured that this might be used to analyze handwriting
as a cycloidal curve which is modulated to form the letter shapes. Although
a second-order two-dimensional filter can model cycloids, the analysis
procedure becomes unstable, and we show how differencing the input and
applying a first-order filter rectifies this problem.
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