Filters and Convolution
Of constant concern in the analysis of signals is the presence of noise, a term which here means more or less any effect that corrupts a signal. This corruption may arise from background radiation, stray signals that interfere with the main signal, errors in the measurement of the actual signal, or what have you. In order to remove the effects of noise and form a clearer picture of the actual signal, a filter is applied.
KeywordsInverse Fourier Transform Suitable Function Full Width Half Maximum Back Projection Arbitrary Real Number
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