Acoustic signal processing extensions on ’’optimum detection of signals in non‐Gaussian noise’’

Richard J. Hecht; Louis A. Mole

doi:10.1121/1.382057

Acoustic signal processing extensions on ’’optimum detection of signals in non‐Gaussian noise’’

The Journal of the Acoustical Society of America ◽

10.1121/1.382057 ◽

1978 ◽

Vol 64 (4) ◽

pp. 1206-1208

Author(s):

Richard J. Hecht ◽

Louis A. Mole

Keyword(s):

Signal Processing ◽

Acoustic Signal ◽

Gaussian Noise ◽

Optimum Detection ◽

Non Gaussian ◽

Detection Of Signals

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Optimum detection of signals in non-Gaussian noise

The Journal of the Acoustical Society of America ◽

10.1121/1.381699 ◽

1978 ◽

Vol 63 (1) ◽

pp. 81 ◽

Cited By ~ 12

Author(s):

Jerome J. Sheehy

Keyword(s):

Gaussian Noise ◽

Optimum Detection ◽

Non Gaussian ◽

Detection Of Signals

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Non-Gaussian Noise Reduction in Measurement Signal Processing

Automatic Control, Robotics, and Information Processing - Studies in Systems, Decision and Control ◽

10.1007/978-3-030-48587-0_4 ◽

2020 ◽

pp. 93-114

Author(s):

Jerzy Świątek ◽

Krzysztof Brzostowski ◽

Jarosław Drapała

Keyword(s):

Signal Processing ◽

Noise Reduction ◽

Gaussian Noise ◽

Measurement Signal ◽

Non Gaussian

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Diversity detection in non-Gaussian noise employing the generalized approach to signal processing in noise with fading diversity channels

10.1117/12.883763 ◽

2011 ◽

Author(s):

Vyacheslav Tuzlukov

Keyword(s):

Signal Processing ◽

Gaussian Noise ◽

Non Gaussian

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Non-Gaussian noise models in signal processing for telecommunications: new methods an results for class A and class B noise models

IEEE Transactions on Information Theory ◽

10.1109/18.761256 ◽

1999 ◽

Vol 45 (4) ◽

pp. 1129-1149 ◽

Cited By ~ 415

Author(s):

D. Middleton

Keyword(s):

Signal Processing ◽

Gaussian Noise ◽

Class A ◽

New Methods ◽

Class B ◽

Non Gaussian ◽

Noise Models

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Robust DFT based on adaptive censored estimate for FM signal processing in non-Gaussian noise environment

10.1109/isspa.2007.4555465 ◽

2007 ◽

Cited By ~ 1

Author(s):

V.V. Lukin ◽

A.A. Roenko ◽

I. Djurovic ◽

L.J. Stankovic

Keyword(s):

Signal Processing ◽

Gaussian Noise ◽

Noise Environment ◽

Non Gaussian

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Locally optimum detection for DS-CDMA systems in non-Gaussian noise

Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467) ◽

10.1109/isspa.2001.950167 ◽

2002 ◽

Author(s):

S. Sanchez-Urrieta ◽

K. Abed-Meraim ◽

V.Y. Kontorovich ◽

M. Lara-Barron

Keyword(s):

Gaussian Noise ◽

Optimum Detection ◽

Cdma Systems ◽

Non Gaussian

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Locally optimum detection of discrete-time stochastic signals in non-Gaussian noise

The Journal of the Acoustical Society of America ◽

10.1121/1.381698 ◽

1978 ◽

Vol 63 (1) ◽

pp. 75 ◽

Cited By ~ 36

Author(s):

H. V. Poor

Keyword(s):

Discrete Time ◽

Gaussian Noise ◽

Stochastic Signals ◽

Optimum Detection ◽

Non Gaussian

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Locally optimum detection in moving average non-Gaussian noise

IEEE Transactions on Communications ◽

10.1109/26.3770 ◽

1988 ◽

Vol 36 (8) ◽

pp. 907-912 ◽

Cited By ~ 17

Author(s):

A.M. Maras

Keyword(s):

Gaussian Noise ◽

Moving Average ◽

Optimum Detection ◽

Non Gaussian

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Optimum detection of Gaussian signals in non-Gaussian noise

Proceedings of 1995 IEEE International Symposium on Information Theory ◽

10.1109/isit.1995.550284 ◽

2002 ◽

Author(s):

S. Buzzi ◽

E. Conte ◽

M. Lops

Keyword(s):

Gaussian Noise ◽

Optimum Detection ◽

Non Gaussian

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Spectra and Covariances for 'Classical' Nonlinear Signal Processing Problems Involving Class A Non-Gaussian Noise

10.21236/ada237388 ◽

1991 ◽

Author(s):

Albert H. Nuttall ◽

David Middleton

Keyword(s):

Signal Processing ◽

Gaussian Noise ◽

Nonlinear Signal Processing ◽

Class A ◽

Non Gaussian ◽

Nonlinear Signal

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