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Application of optimum coding sequences to computerized classical tomography

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Abstract

A variation of matched filtering using 1-D code sequences with near optimum correlation properties is applied to the reconstruction of coded-source or coded-scan tomographic imagery. The reconstructed image enjoys a higher SNR than imagery reconstructed with conventional matched filtering. A major advantage of using code sequences is the elimination of noise and secondary images that result from the sidelobes of the autocorrelation function of nonnegative functions or sequences.

© 1978 Optical Society of America

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