One-Bit Spectral-Correlation Algorithms
A technique that greatly simplifies the computational complexity of digital cyclic spectral analysis algorithms is presented. The technique, which is based on Bussgang's theorem, replaces complex multiplications in spectral correlation operations, with simple sign-change and data-multiplexing o...
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Published in: | IEEE transactions on signal processing Vol. 41; no. 1; pp. 423 - 427 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
IEEE
01-01-1993
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Subjects: | |
Online Access: | Get full text |
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Summary: | A technique that greatly simplifies the computational complexity of digital cyclic spectral analysis algorithms is presented. The technique, which is based on Bussgang's theorem, replaces complex multiplications in spectral correlation operations, with simple sign-change and data-multiplexing operations. Moreover, the technique is applicable to both time- and frequency-averaging algorithms. A simulation study that compares the computed results obtained using the new technique with results from standard time- and frequency-averaging algorithms shows that the new techniques is very promising, particularly for frequency-averaging algorithms. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1053-587X 1941-0476 |
DOI: | 10.1109/TSP.1993.193170 |