Spitz makes a better assumption for the signal PEF

نویسندگان

  • Jon Claerbout
  • Sergey Fomel
چکیده

In real-world extraction of signal from data we are not given the needed signal prediction-error filter (PEF). Claerbout has taken S, the PEF of the signal, to be that of the data, S ≈ D. Spitz takes it to be S ≈ D/N . Where noises are highly predictable in time or space, Spitz gets significantly better results. Theoretically, a reason is that the essential character of a PEF is contained where it is small.

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تاریخ انتشار 2000