Evaluation of non-linear combinations of rescaled reassigned spectrograms. Hansson-Sandsten, M. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 486-490, Sep., 2014. Paper abstract bibtex The reassignment technique is used to increase the localization for signals that have closely located time-frequency components. For Gaussian components the reassignment based on an optimal (matched) window spectrogram will result in a single point where all mass is located. For non-optimal windows, the reassignment procedure can be optimally rescaled to fulfill the single point mass location. Non-linear combinations of spectrograms for different window lengths have previously been suggested, [1], and in this paper an evaluation is made of the performance for different non-linear combinations of optimally rescaled reassigned spectrograms.
@InProceedings{6952136,
author = {M. Hansson-Sandsten},
booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
title = {Evaluation of non-linear combinations of rescaled reassigned spectrograms},
year = {2014},
pages = {486-490},
abstract = {The reassignment technique is used to increase the localization for signals that have closely located time-frequency components. For Gaussian components the reassignment based on an optimal (matched) window spectrogram will result in a single point where all mass is located. For non-optimal windows, the reassignment procedure can be optimally rescaled to fulfill the single point mass location. Non-linear combinations of spectrograms for different window lengths have previously been suggested, [1], and in this paper an evaluation is made of the performance for different non-linear combinations of optimally rescaled reassigned spectrograms.},
keywords = {signal processing;optimally rescaled reassigned spectrograms;reassignment procedure;optimal window spectrogram;Gaussian components;signals localization;reassignment technique;rescaled reassigned spectrograms;nonlinear combinations evaluation;Spectrogram;Entropy;Time-frequency analysis;Standards;Signal to noise ratio;time-frequency;reassignment;localization;Hermite function},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925281.pdf},
}
Downloads: 0
{"_id":"LxdAdTkdfWYfFcBMG","bibbaseid":"hanssonsandsten-evaluationofnonlinearcombinationsofrescaledreassignedspectrograms-2014","authorIDs":[],"author_short":["Hansson-Sandsten, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["M."],"propositions":[],"lastnames":["Hansson-Sandsten"],"suffixes":[]}],"booktitle":"2014 22nd European Signal Processing Conference (EUSIPCO)","title":"Evaluation of non-linear combinations of rescaled reassigned spectrograms","year":"2014","pages":"486-490","abstract":"The reassignment technique is used to increase the localization for signals that have closely located time-frequency components. For Gaussian components the reassignment based on an optimal (matched) window spectrogram will result in a single point where all mass is located. For non-optimal windows, the reassignment procedure can be optimally rescaled to fulfill the single point mass location. Non-linear combinations of spectrograms for different window lengths have previously been suggested, [1], and in this paper an evaluation is made of the performance for different non-linear combinations of optimally rescaled reassigned spectrograms.","keywords":"signal processing;optimally rescaled reassigned spectrograms;reassignment procedure;optimal window spectrogram;Gaussian components;signals localization;reassignment technique;rescaled reassigned spectrograms;nonlinear combinations evaluation;Spectrogram;Entropy;Time-frequency analysis;Standards;Signal to noise ratio;time-frequency;reassignment;localization;Hermite function","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925281.pdf","bibtex":"@InProceedings{6952136,\n author = {M. Hansson-Sandsten},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Evaluation of non-linear combinations of rescaled reassigned spectrograms},\n year = {2014},\n pages = {486-490},\n abstract = {The reassignment technique is used to increase the localization for signals that have closely located time-frequency components. For Gaussian components the reassignment based on an optimal (matched) window spectrogram will result in a single point where all mass is located. For non-optimal windows, the reassignment procedure can be optimally rescaled to fulfill the single point mass location. Non-linear combinations of spectrograms for different window lengths have previously been suggested, [1], and in this paper an evaluation is made of the performance for different non-linear combinations of optimally rescaled reassigned spectrograms.},\n keywords = {signal processing;optimally rescaled reassigned spectrograms;reassignment procedure;optimal window spectrogram;Gaussian components;signals localization;reassignment technique;rescaled reassigned spectrograms;nonlinear combinations evaluation;Spectrogram;Entropy;Time-frequency analysis;Standards;Signal to noise ratio;time-frequency;reassignment;localization;Hermite function},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925281.pdf},\n}\n\n","author_short":["Hansson-Sandsten, M."],"key":"6952136","id":"6952136","bibbaseid":"hanssonsandsten-evaluationofnonlinearcombinationsofrescaledreassignedspectrograms-2014","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925281.pdf"},"keyword":["signal processing;optimally rescaled reassigned spectrograms;reassignment procedure;optimal window spectrogram;Gaussian components;signals localization;reassignment technique;rescaled reassigned spectrograms;nonlinear combinations evaluation;Spectrogram;Entropy;Time-frequency analysis;Standards;Signal to noise ratio;time-frequency;reassignment;localization;Hermite function"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2014url.bib","creationDate":"2021-02-13T17:43:41.615Z","downloads":0,"keywords":["signal processing;optimally rescaled reassigned spectrograms;reassignment procedure;optimal window spectrogram;gaussian components;signals localization;reassignment technique;rescaled reassigned spectrograms;nonlinear combinations evaluation;spectrogram;entropy;time-frequency analysis;standards;signal to noise ratio;time-frequency;reassignment;localization;hermite function"],"search_terms":["evaluation","non","linear","combinations","rescaled","reassigned","spectrograms","hansson-sandsten"],"title":"Evaluation of non-linear combinations of rescaled reassigned spectrograms","year":2014,"dataSources":["A2ezyFL6GG6na7bbs","oZFG3eQZPXnykPgnE"]}