Quaternion adaptive line enhancer. Sanei, S., Took, C. C., Enshaeifar, S., & Lee, T. K. M. In 2017 25th European Signal Processing Conference (EUSIPCO), pages 2625-2629, Aug, 2017.
![Quaternion adaptive line enhancer [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper doi abstract bibtex
Paper doi abstract bibtex The recovery of periodic signals from their noisy single channel mixtures has made wide use of the adaptive line enhancer (ALE). The ALE, however, is not designed for detection of two-(2-D) or three-dimensional (3-D) periodic signals such as tremor in an unconstrained hand motion. An ALE which can perform restoration of 3-D periodic signals is therefore required for such purposes. These signals may not exhibit periodicity in a single dimension. To address and solve this problem a quaternion adaptive line enhancer (QALE) is introduced in this paper for the first time which exploits the quaternion least mean square (QLMS) algorithm for the detection of 3-D (extendable to 4-D) periodic signals.
@InProceedings{8081686,
author = {S. Sanei and C. C. Took and S. Enshaeifar and T. K. M. Lee},
booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
title = {Quaternion adaptive line enhancer},
year = {2017},
pages = {2625-2629},
abstract = {The recovery of periodic signals from their noisy single channel mixtures has made wide use of the adaptive line enhancer (ALE). The ALE, however, is not designed for detection of two-(2-D) or three-dimensional (3-D) periodic signals such as tremor in an unconstrained hand motion. An ALE which can perform restoration of 3-D periodic signals is therefore required for such purposes. These signals may not exhibit periodicity in a single dimension. To address and solve this problem a quaternion adaptive line enhancer (QALE) is introduced in this paper for the first time which exploits the quaternion least mean square (QLMS) algorithm for the detection of 3-D (extendable to 4-D) periodic signals.},
keywords = {least mean squares methods;signal detection;quaternion adaptive line enhancer;noisy single channel mixtures;ALE;unconstrained hand motion;single dimension;quaternion least mean square algorithm;QALE;QLMS algorithm;3D periodic signal detection;Quaternions;Noise measurement;Signal processing algorithms;Trajectory;Line enhancers;Correlation;Europe;ALE;quaternion adaptive line enhancer;QLMS;quaternion shift},
doi = {10.23919/EUSIPCO.2017.8081686},
issn = {2076-1465},
month = {Aug},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346010.pdf},
}Downloads: 0
{"_id":"7YMW5wTv7TxAGjieq","bibbaseid":"sanei-took-enshaeifar-lee-quaternionadaptivelineenhancer-2017","authorIDs":[],"author_short":["Sanei, S.","Took, C. C.","Enshaeifar, S.","Lee, T. K. M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["S."],"propositions":[],"lastnames":["Sanei"],"suffixes":[]},{"firstnames":["C.","C."],"propositions":[],"lastnames":["Took"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Enshaeifar"],"suffixes":[]},{"firstnames":["T.","K.","M."],"propositions":[],"lastnames":["Lee"],"suffixes":[]}],"booktitle":"2017 25th European Signal Processing Conference (EUSIPCO)","title":"Quaternion adaptive line enhancer","year":"2017","pages":"2625-2629","abstract":"The recovery of periodic signals from their noisy single channel mixtures has made wide use of the adaptive line enhancer (ALE). The ALE, however, is not designed for detection of two-(2-D) or three-dimensional (3-D) periodic signals such as tremor in an unconstrained hand motion. An ALE which can perform restoration of 3-D periodic signals is therefore required for such purposes. These signals may not exhibit periodicity in a single dimension. To address and solve this problem a quaternion adaptive line enhancer (QALE) is introduced in this paper for the first time which exploits the quaternion least mean square (QLMS) algorithm for the detection of 3-D (extendable to 4-D) periodic signals.","keywords":"least mean squares methods;signal detection;quaternion adaptive line enhancer;noisy single channel mixtures;ALE;unconstrained hand motion;single dimension;quaternion least mean square algorithm;QALE;QLMS algorithm;3D periodic signal detection;Quaternions;Noise measurement;Signal processing algorithms;Trajectory;Line enhancers;Correlation;Europe;ALE;quaternion adaptive line enhancer;QLMS;quaternion shift","doi":"10.23919/EUSIPCO.2017.8081686","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346010.pdf","bibtex":"@InProceedings{8081686,\n author = {S. Sanei and C. C. Took and S. Enshaeifar and T. K. M. Lee},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Quaternion adaptive line enhancer},\n year = {2017},\n pages = {2625-2629},\n abstract = {The recovery of periodic signals from their noisy single channel mixtures has made wide use of the adaptive line enhancer (ALE). The ALE, however, is not designed for detection of two-(2-D) or three-dimensional (3-D) periodic signals such as tremor in an unconstrained hand motion. An ALE which can perform restoration of 3-D periodic signals is therefore required for such purposes. These signals may not exhibit periodicity in a single dimension. To address and solve this problem a quaternion adaptive line enhancer (QALE) is introduced in this paper for the first time which exploits the quaternion least mean square (QLMS) algorithm for the detection of 3-D (extendable to 4-D) periodic signals.},\n keywords = {least mean squares methods;signal detection;quaternion adaptive line enhancer;noisy single channel mixtures;ALE;unconstrained hand motion;single dimension;quaternion least mean square algorithm;QALE;QLMS algorithm;3D periodic signal detection;Quaternions;Noise measurement;Signal processing algorithms;Trajectory;Line enhancers;Correlation;Europe;ALE;quaternion adaptive line enhancer;QLMS;quaternion shift},\n doi = {10.23919/EUSIPCO.2017.8081686},\n issn = {2076-1465},\n month = {Aug},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346010.pdf},\n}\n\n","author_short":["Sanei, S.","Took, C. C.","Enshaeifar, S.","Lee, T. K. M."],"key":"8081686","id":"8081686","bibbaseid":"sanei-took-enshaeifar-lee-quaternionadaptivelineenhancer-2017","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346010.pdf"},"keyword":["least mean squares methods;signal detection;quaternion adaptive line enhancer;noisy single channel mixtures;ALE;unconstrained hand motion;single dimension;quaternion least mean square algorithm;QALE;QLMS algorithm;3D periodic signal detection;Quaternions;Noise measurement;Signal processing algorithms;Trajectory;Line enhancers;Correlation;Europe;ALE;quaternion adaptive line enhancer;QLMS;quaternion shift"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2017url.bib","creationDate":"2021-02-13T16:38:25.792Z","downloads":0,"keywords":["least mean squares methods;signal detection;quaternion adaptive line enhancer;noisy single channel mixtures;ale;unconstrained hand motion;single dimension;quaternion least mean square algorithm;qale;qlms algorithm;3d periodic signal detection;quaternions;noise measurement;signal processing algorithms;trajectory;line enhancers;correlation;europe;ale;quaternion adaptive line enhancer;qlms;quaternion shift"],"search_terms":["quaternion","adaptive","line","enhancer","sanei","took","enshaeifar","lee"],"title":"Quaternion adaptive line enhancer","year":2017,"dataSources":["2MNbFYjMYTD6z7ExY","uP2aT6Qs8sfZJ6s8b"]}