Editing Deconvolution (section)

===Raw deconvolution===

When the measurement error is very low (ideal case), deconvolution collapses into a filter reversing. This kind of deconvolution can be performed in the Laplace domain. By computing the [[Fourier transform]] of the recorded signal ''h'' and the system response function ''g'', you get ''H'' and ''G'', with ''G'' as the [[transfer function]]. Using the [[Convolution theorem]],

: <math>F = H / G \, </math>

where ''F'' is the estimated Fourier transform of ''f''. Finally, the [[Fourier inversion theorem|inverse Fourier transform]] of the function ''F'' is taken to find the estimated deconvolved signal ''f''. Note that ''G'' is at the denominator and could amplify elements of the error model if present.