Baseband Volterra filters for implementing carrier based nonlinearities
A diagonal coordinate representation for Volterra filters is developed and exploited to derive efficient Volterra filter implementations for processing carrier based input signals. In the diagonal coordinate representation, the output is expressed as a sum of linear filters applied to modified input...
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| Published in | IEEE transactions on signal processing Vol. 46; no. 1; pp. 103 - 114 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
IEEE
01.01.1998
Institute of Electrical and Electronics Engineers |
| Subjects | |
| Online Access | Get full text |
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| Abstract | A diagonal coordinate representation for Volterra filters is developed and exploited to derive efficient Volterra filter implementations for processing carrier based input signals. In the diagonal coordinate representation, the output is expressed as a sum of linear filters applied to modified input signals. Hence, linear filtering methods are employed to implement the nonlinear filter on a baseband version of the input. Downsampling is then used to reduce computational complexity. The same approach is employed to develop efficient implementations for processing continuous-time carrier-based signals, pulse amplitude-modulated signals, and frequency division multiplexed input signals. |
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| AbstractList | A diagonal coordinate representation for Volterra filters is developed and exploited to derive efficient Volterra filter implementations for processing carrier based input signals. In the diagonal coordinate representation, the output is expressed as a sum of linear filters applied to modified input signals. Hence, linear filtering methods are employed to implement the nonlinear filter on a baseband version of the input. Downsampling is then used to reduce computational complexity. The same approach is employed to develop efficient implementations for processing continuous-time carrier-based signals, pulse amplitude-modulated signals, and frequency division multiplexed input signals A diagonal coordinate representation for Volterra filters is developed and exploited to derive efficient Volterra filter implementations for processing carrier based input signals. In the diagonal coordinate representation, the output is expressed as a sum of linear filters applied to modified input signals. Hence, linear filtering methods are employed to implement the nonlinear filter on a baseband version of the input. Downsampling is then used to reduce computational complexity. The same approach is employed to develop efficient implementations for processing continuous-time carrier-based signals, pulse amplitude-modulated signals, and frequency division multiplexed input signals. |
| Author | Raz, G.M. van Veen, B.D. |
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| Cites_doi | 10.1109/78.91194 10.1109/TASSP.1986.1164991 10.1109/78.482010 10.1109/ICASSP.1996.544106 10.1080/00207179008953539 10.1109/JSAC.1983.1145885 10.1080/00207179108953654 10.1016/0022-460X(89)90727-X 10.1002/j.1538-7305.1978.tb02168.x 10.1002/j.1538-7305.1983.tb03113.x 10.1049/ip-d.1980.0047 10.1109/TCOMM.1994.580207 10.1007/978-1-4757-9024-5_1 10.1109/49.192728 10.1109/JSAC.1984.1146107 10.1007/BF02368639 10.1109/79.127999 |
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| Keywords | Signal processing Volterra series Implementation Non linear filtering |
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| References | ref13 ref12 ref15 frank (ref8) 1994; 3 ref14 ref11 ref10 vaidyanathan (ref21) 1993 ref2 ref17 ref16 ref19 wiener (ref22) 1958 ref18 alshebeili (ref1) 1992 ref7 ref9 ref4 ref3 ref6 ref5 schetzen (ref20) 1980 |
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| SubjectTerms | Applied sciences Baseband Computational complexity Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering Frequency domain analysis Information, signal and communications theory Kernel Nonlinear filters Nonlinear systems Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Tensile stress Vectors |
| Title | Baseband Volterra filters for implementing carrier based nonlinearities |
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