Instantaneous parameters estimation algorithm for noisy AM-FM oscillatory signals. Azarov, E., Vashkevich, M., & Petrovsky, A. In *2014 22nd European Signal Processing Conference (EUSIPCO)*, pages 989-993, Sep., 2014.

Paper abstract bibtex

Paper abstract bibtex

The paper addresses the problem of estimation of amplitude envelope and instantaneous frequency of an amplitude and frequency modulated (AM-FM) signal in noisy conditions. The algorithm proposed in the paper utilizes derivatives of the signal and is analogous to well-known Energy Separation Algorithms (ESA) based on Teager-Kaiser energy operator (TEO). The formulation of the algorithm is based on Prony's method that provides estimates of phase and damping factor as well. Compared to ESA the proposed algorithm has a very close performance for pure oscillatory signals and a better performance for signals with additive white noise.

@InProceedings{6952337, author = {E. Azarov and M. Vashkevich and A. Petrovsky}, booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)}, title = {Instantaneous parameters estimation algorithm for noisy AM-FM oscillatory signals}, year = {2014}, pages = {989-993}, abstract = {The paper addresses the problem of estimation of amplitude envelope and instantaneous frequency of an amplitude and frequency modulated (AM-FM) signal in noisy conditions. The algorithm proposed in the paper utilizes derivatives of the signal and is analogous to well-known Energy Separation Algorithms (ESA) based on Teager-Kaiser energy operator (TEO). The formulation of the algorithm is based on Prony's method that provides estimates of phase and damping factor as well. Compared to ESA the proposed algorithm has a very close performance for pure oscillatory signals and a better performance for signals with additive white noise.}, keywords = {amplitude modulation;AWGN;frequency modulation;parameter estimation;signal processing;instantaneous parameter estimation algorithm;noisy AM-FM oscillatory signals;amplitude envelope;instantaneous frequency;energy separation algorithms;Teager-Kaiser energy operator;TEO;Prony's method;additive white noise;Signal processing algorithms;Estimation;Frequency estimation;Algorithm design and analysis;Damping;Signal to noise ratio;Time-frequency analysis;estimation of instantaneous frequency;Teager-Kaiser energy operator;Prony's method}, issn = {2076-1465}, month = {Sep.}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569924699.pdf}, }

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