Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma

Murat Okatan

doi:10.1109/SIU.2018.8404155

Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma

Translated title of the contribution: A comparative study on the estimation of noise standard deviation using DATE and truncation thresholds

Murat Okatan^*

^*Corresponding author for this work

Cumhuriyet University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

D-dimensional amplitude trimmed estimator (DATE) is used for estimating the noise standard deviation in data that can be modelled as a signal in additive white Gaussian noise. Truncation thresholds are a pair of amplitude thresholds that are used for spike detection in extracellular neural recordings. Noise standard deviation is estimated as a byproduct of the computation of the truncation thresholds. Here, standard deviation estimates obtained using DATE and truncation thresholds are compared in realistic simulations of extracellular neural recordings. The results show that noise standard deviation is estimated more accurately and faster with truncation thresholds. These findings are important for developing a suitable method for amplitude thresholding in brain-machine-interfaces.

Translated title of the contribution	A comparative study on the estimation of noise standard deviation using DATE and truncation thresholds
Original language	Turkish
Title of host publication	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538615010
DOIs	https://doi.org/10.1109/SIU.2018.8404155
Publication status	Published - 5 Jul 2018
Externally published	Yes
Event	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018

Publication series

Name	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Conference

Conference	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/Territory	Turkey
City	Izmir
Period	2/05/18 → 5/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/SIU.2018.8404155

Cite this

Okatan, M. (2018). Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp. 1-4). (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2018.8404155

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abstract = "D-dimensional amplitude trimmed estimator (DATE) is used for estimating the noise standard deviation in data that can be modelled as a signal in additive white Gaussian noise. Truncation thresholds are a pair of amplitude thresholds that are used for spike detection in extracellular neural recordings. Noise standard deviation is estimated as a byproduct of the computation of the truncation thresholds. Here, standard deviation estimates obtained using DATE and truncation thresholds are compared in realistic simulations of extracellular neural recordings. The results show that noise standard deviation is estimated more accurately and faster with truncation thresholds. These findings are important for developing a suitable method for amplitude thresholding in brain-machine-interfaces.",

keywords = "Computational neuroscience, Extracellular neural recording, Scale estimation, Signal detection",

author = "Murat Okatan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 ; Conference date: 02-05-2018 Through 05-05-2018",

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doi = "10.1109/SIU.2018.8404155",

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series = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

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Okatan, M 2018, Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Turkey, 2/05/18. https://doi.org/10.1109/SIU.2018.8404155

Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma. / Okatan, Murat.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma

AU - Okatan, Murat

PY - 2018/7/5

Y1 - 2018/7/5

N2 - D-dimensional amplitude trimmed estimator (DATE) is used for estimating the noise standard deviation in data that can be modelled as a signal in additive white Gaussian noise. Truncation thresholds are a pair of amplitude thresholds that are used for spike detection in extracellular neural recordings. Noise standard deviation is estimated as a byproduct of the computation of the truncation thresholds. Here, standard deviation estimates obtained using DATE and truncation thresholds are compared in realistic simulations of extracellular neural recordings. The results show that noise standard deviation is estimated more accurately and faster with truncation thresholds. These findings are important for developing a suitable method for amplitude thresholding in brain-machine-interfaces.

AB - D-dimensional amplitude trimmed estimator (DATE) is used for estimating the noise standard deviation in data that can be modelled as a signal in additive white Gaussian noise. Truncation thresholds are a pair of amplitude thresholds that are used for spike detection in extracellular neural recordings. Noise standard deviation is estimated as a byproduct of the computation of the truncation thresholds. Here, standard deviation estimates obtained using DATE and truncation thresholds are compared in realistic simulations of extracellular neural recordings. The results show that noise standard deviation is estimated more accurately and faster with truncation thresholds. These findings are important for developing a suitable method for amplitude thresholding in brain-machine-interfaces.

KW - Computational neuroscience

KW - Extracellular neural recording

KW - Scale estimation

KW - Signal detection

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DO - 10.1109/SIU.2018.8404155

M3 - Konferans katkısı

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T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

SP - 1

EP - 4

BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Y2 - 2 May 2018 through 5 May 2018

ER -

Okatan M. Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). doi: 10.1109/SIU.2018.8404155

Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma

Abstract

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