Filters and Convolution

  • Timothy G. Feeman
Part of the Springer Undergraduate Texts in Mathematics and Technology book series (SUMAT)


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.


Inverse Fourier Transform Suitable Function Full Width Half Maximum Back Projection Arbitrary Real Number 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York 2010

Authors and Affiliations

  1. 1.Department of Mathematical SciencesVillanova UniversityVillanovaUSA

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