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IF estimation using higher order TFRs
Instantaneous frequency estimation of arbitrary polynomial phase signals is shown to be feasible using higher order time–frequency representations such as L-Wigner distribution and complex time–frequency representation. These new extensions of the iterative cross-Wigner distribution based algorithm...
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Published in: | Signal processing 2002-02, Vol.82 (2), p.127-132 |
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Language: | English |
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cites | cdi_FETCH-LOGICAL-c368t-8664347263fd8f2a636e226a7c0bb969d2c8697ecae4eca1cf16abc8870ce5713 |
container_end_page | 132 |
container_issue | 2 |
container_start_page | 127 |
container_title | Signal processing |
container_volume | 82 |
creator | Viswanath, G. Sreenivas, T.V. |
description | Instantaneous frequency estimation of
arbitrary polynomial phase signals is shown to be feasible using higher order time–frequency representations such as L-Wigner distribution and complex time–frequency representation. These new extensions of the iterative cross-Wigner distribution based algorithm are shown to have certain computational advantage as well as noise robustness. |
doi_str_mv | 10.1016/S0165-1684(01)00168-2 |
format | article |
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language | eng |
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source | ScienceDirect Freedom Collection |
subjects | Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Instantaneous frequency Signal and communications theory Signal, noise Telecommunications and information theory Time–frequency representation Wigner distribution |
title | IF estimation using higher order TFRs |
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