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

Murat Okatan^*

^*Bu çalışma için yazışmadan sorumlu yazar

Cumhuriyet University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

3 Atıf (Scopus)

Özet

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.

Tercüme edilen katkı başlığı	A comparative study on the estimation of noise standard deviation using DATE and truncation thresholds
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1-4
Sayfa sayısı	4
ISBN (Elektronik)	9781538615010
DOI'lar	https://doi.org/10.1109/SIU.2018.8404155
Yayın durumu	Yayınlandı - 5 Tem 2018
Harici olarak yayınlandı	Evet
Etkinlik	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Türkiye Süre: 2 May 2018 → 5 May 2018

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Ülke/Bölge	Türkiye
Şehir	Izmir
Periyot	2/05/18 → 5/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Keywords

Computational neuroscience
Extracellular neural recording
Scale estimation
Signal detection

Belgeye Erişim

10.1109/SIU.2018.8404155

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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",

year = "2018",

month = jul,

day = "5",

doi = "10.1109/SIU.2018.8404155",

language = "T{\"u}rk{\c c}e",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

address = "United States",

}

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, Türkiye, 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).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

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

AN - SCOPUS:85050829782

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap