Homomorphic detection of convolved signals using class 1 filters
It is shown that signals which are convolutionally combined can be detected using optimal homomorphic filtering. The system uses Fourier transforms combined with a log( ) operator. Dual-channel filtering is described. Single-channel filtering is also possible but does not perform as well. A simulati...
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| Published in | Thirty-Fourth Midwest Symposium on Circuits and Systems, 1991 pp. 486 - 489 vol.1 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
1991
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9780780306202 0780306201 |
| DOI | 10.1109/MWSCAS.1991.252201 |
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| Abstract | It is shown that signals which are convolutionally combined can be detected using optimal homomorphic filtering. The system uses Fourier transforms combined with a log( ) operator. Dual-channel filtering is described. Single-channel filtering is also possible but does not perform as well. A simulation is presented to demonstrate the computations involved. Although Class 1 algorithms were used for simplicity, the techniques have been extended using Class 2 algorithms. Excellent results are also obtained. This homomorphic filtering technique can be used to solve a variety of problems that cannot otherwise be solved using classical methods.< > |
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| AbstractList | It is shown that signals which are convolutionally combined can be detected using optimal homomorphic filtering. The system uses Fourier transforms combined with a log( ) operator. Dual-channel filtering is described. Single-channel filtering is also possible but does not perform as well. A simulation is presented to demonstrate the computations involved. Although Class 1 algorithms were used for simplicity, the techniques have been extended using Class 2 algorithms. Excellent results are also obtained. This homomorphic filtering technique can be used to solve a variety of problems that cannot otherwise be solved using classical methods.< > |
| Author | Lindquist, C.S. Cox, S.W. |
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| Snippet | It is shown that signals which are convolutionally combined can be detected using optimal homomorphic filtering. The system uses Fourier transforms combined... |
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| StartPage | 486 |
| SubjectTerms | Additive noise Biology computing Convolution Fourier transforms Frequency domain analysis Nonlinear filters Phase detection Signal detection Speech processing Wiener filter |
| Title | Homomorphic detection of convolved signals using class 1 filters |
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