Auditory threshold, signal-to-noise ratio and signal detection theory

Current Psychology ◽

10.1007/bf03186753 ◽

1982 ◽

Vol 2 (1-3) ◽

pp. 129-138

Author(s):

L. J. Holdstock

Keyword(s):

Signal Detection ◽

Signal Detection Theory ◽

Signal To Noise Ratio ◽

Detection Theory ◽

Auditory Threshold ◽

Signal To Noise ◽

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Signal Detection Algorithm Design Based on Stochastic Resonance Technology Under Low Signal-to-Noise Ratio

Journal of Shanghai Jiaotong University (Science) ◽

10.1007/s12204-019-2071-9 ◽

2019 ◽

Vol 24 (3) ◽

pp. 328-334

Author(s):

Xiaolin Jiang ◽

Ming Diao ◽

Susu Qu

Keyword(s):

Signal Detection ◽

Stochastic Resonance ◽

Signal To Noise Ratio ◽

Algorithm Design ◽

Detection Algorithm ◽

Signal To Noise ◽

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Bayesian Sequential Joint Signal Detection and Signal-to-Noise Ratio Estimation

2019 27th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco.2019.8902938 ◽

2019 ◽

Author(s):

Dominik Reinhard ◽

Michael Faus ◽

Abdelhak M. Zoubir

Keyword(s):

Signal Detection ◽

Signal To Noise Ratio ◽

Ratio Estimation ◽

Signal To Noise ◽

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Some considerations on signal detection and signal to noise ratio in laser enhanced ionization spectroscopy

10.1063/1.47550 ◽

1995 ◽

Author(s):

Oleg I. Matveev ◽

Nicolo’ Omenetto

Keyword(s):

Signal Detection ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

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Gabor Wigner Transform based on fractional fourier transform for low signal to noise ratio signal detection

OCEANS 2016 - Shanghai ◽

10.1109/oceansap.2016.7485565 ◽

2016 ◽

Author(s):

Wei Qian ◽

Yuan Fei ◽

Zhu Yi ◽

Cheng En

Keyword(s):

Fourier Transform ◽

Signal Detection ◽

Fractional Fourier Transform ◽

Signal To Noise Ratio ◽

Wigner Transform ◽

Signal To Noise ◽

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Auditory Threshold Variance, Signal Detection Theory and Personality

International Audiology ◽

10.3109/05384916909070200 ◽

1969 ◽

Vol 8 (1) ◽

pp. 131-137 ◽

Author(s):

S. D. G. Stephens

Keyword(s):

Signal Detection ◽

Signal Detection Theory ◽

Detection Theory ◽

Auditory Threshold

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Exploiting differences in underwater acoustic signal and noise distributions to improve signal detection in low signal-to-noise ratio

The Journal of the Acoustical Society of America ◽

10.1121/1.4755145 ◽

2012 ◽

Vol 132 (3) ◽

pp. 1941-1941

Author(s):

Andrew T. Pyzdek ◽

R. L. Culver ◽

Brett E. Bissinger

Keyword(s):

Signal Detection ◽

Acoustic Signal ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

Underwater Acoustic ◽

Noise Ratio ◽

Underwater Acoustic Signal

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Sequential joint signal detection and signal-to-noise ratio estimation

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2017.7953029 ◽

2017 ◽

Author(s):

M. Fauss ◽

K. G. Nagananda ◽

A. M. Zoubir ◽

H. V. Poor

Keyword(s):

Signal Detection ◽

Signal To Noise Ratio ◽

Ratio Estimation ◽

Signal To Noise ◽

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A signal detection algorithm based on RLS adaptive AR model in low signal-to-noise ratio condition

10.1117/12.521954 ◽

2004 ◽

Author(s):

Zhefeng Zhang ◽

Tuanfeng Wu ◽

Xigen Yang

Keyword(s):

Signal Detection ◽

Signal To Noise Ratio ◽

Detection Algorithm ◽

Ar Model ◽

Signal To Noise ◽

Ratio Condition ◽

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Quantifying Error Estimates as Functions of Signal-to-Noise Ratio in a Multi-Tier Weak Radio Signal Detection Process with N Simultaneous Signals

NAECON 2018 - IEEE National Aerospace and Electronics Conference ◽

10.1109/naecon.2018.8556658 ◽

2018 ◽

Author(s):

M. Y. Lanzerotti ◽

C. L. Cerny ◽

M. Current ◽

R. K. Martin

Keyword(s):

Signal Detection ◽

Error Estimates ◽

Radio Signal ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

Detection Process ◽

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Improvement of Signal to Noise Ratio and Detection Limit for Gas-Photoaoustic-Signal Detection Based on Feature Extraction in Blind Source Separation

Analytical Chemistry Letters ◽

10.1080/22297928.2012.10648249 ◽

2012 ◽

Vol 2 (1) ◽

pp. 27-32 ◽

Author(s):

Zhiying Wu ◽

Wang Zhang ◽

Jianwei Wang ◽

Qingxu Yu

Keyword(s):

Feature Extraction ◽

Detection Limit ◽

Signal Detection ◽

Blind Source Separation ◽

Signal To Noise Ratio ◽

Source Separation ◽

Signal To Noise ◽

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