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Spatial Vision$
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Russell L. DeValois and Karen K. DeValois

Print publication date: 1991

Print ISBN-13: 9780195066579

Published to Oxford Scholarship Online: January 2008

DOI: 10.1093/acprof:oso/9780195066579.001.0001

Linear Systems Analysis

Chapter:
(p.3) 1 Linear Systems Analysis
Source:
Spatial Vision
Author(s):

Russell L. De Valois

Karen K. De Valois

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195066579.003.0001

This chapter provides a background on linear systems analysis to allow the reader to follow the applications to visual problems discussed in this book. Specifically, it discusses the Fourier theorem and its applications to vision. Fourier analysis is a powerful tool for studying complex waveforms, allowing one to specify quantitatively the characteristics of any complex waveform or shape. Another major advantage in its application to vision is that it gives a common basis by which one can examine optical, physiological, and psychophysical data. The principal limitation in its application to visual problems is the underlying assumption of linearity, a condition that is only met by the visual system under limited conditions.

Keywords:   Fourier theorem, Fourier analysis, vision, visual systems

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