Low-complexity noise power spectral density estimation for harsh automobile environments

2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC) ◽

10.1109/iwaenc.2014.6954010 ◽

2014 ◽

Author(s):

Christin Baasch ◽

Vasudev Kandade Rajan ◽

Mohamed Krini ◽

Gerhard Schmidt

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Low Complexity ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Power Spectral Density Estimation

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Phase Noise Power Spectral Density Estimation in Cascaded Automotive Radar Transceiver MMICs

2018 52nd Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/acssc.2018.8645074 ◽

2018 ◽

Author(s):

Michael Gerstmair ◽

Alexander Melzer ◽

Alexander Onic ◽

Mario Huemer

Keyword(s):

Spectral Density ◽

Phase Noise ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Automotive Radar ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Power Spectral Density Estimation

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An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5947389 ◽

2011 ◽

Author(s):

Jalal Taghia ◽

Jalil Taghia ◽

Nasser Mohammadiha ◽

Jinqiu Sang ◽

Vaclav Bouse ◽

...

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Estimation Algorithms ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Acoustic Environments ◽

Power Spectral Density Estimation

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Non-stationary noise power spectral density estimation based on regional statistics

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7471661 ◽

2016 ◽

Author(s):

Xiaofei Li ◽

Laurent Girin ◽

Sharon Gannot ◽

Radu Horaud

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Stationary Noise ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Power Spectral Density Estimation

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Noise power spectral density estimation for binaural noise reduction exploiting direction of arrival estimates

2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) ◽

10.1109/waspaa.2017.8170030 ◽

2017 ◽

Author(s):

Daniel Marquardt ◽

Simon Doclo

Keyword(s):

Spectral Density ◽

Noise Reduction ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Binaural Noise Reduction ◽

Power Spectral Density Estimation

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DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2020.2987441 ◽

2020 ◽

Vol 28 ◽

pp. 1404-1415 ◽

Author(s):

Qiquan Zhang ◽

Aaron Nicolson ◽

Mingjiang Wang ◽

Kuldip K. Paliwal ◽

Chenxu Wang

Keyword(s):

Deep Learning ◽

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Learning Approach ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Power Spectral Density Estimation

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Joint Late Reverberation and Noise Power Spectral Density Estimation in a Spatially Homogeneous Noise Field

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462142 ◽

2018 ◽

Author(s):

Ina Kodrasi ◽

Simon Doclo

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Field ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Spatially Homogeneous ◽

Power Spectral Density Estimation

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Noise Power Spectral Density Estimation Using MaxNSR Blocking Matrix

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2015.2438542 ◽

2015 ◽

Vol 23 (9) ◽

pp. 1493-1508 ◽

Author(s):

Lin Wang ◽

Timo Gerkmann ◽

Simon Doclo

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Blocking Matrix ◽

Power Spectral Density Estimation

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Minimum Subspace Noise Tracking for noise Power Spectral Density estimation

2009 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2009.4959512 ◽

2009 ◽

Author(s):

Mahdi Triki ◽

Kees Janse

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Power Spectral Density Estimation

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Noise power spectral density estimation based on optimal smoothing and minimum statistics

IEEE Transactions on Speech and Audio Processing ◽

10.1109/89.928915 ◽

2001 ◽

Vol 9 (5) ◽

pp. 504-512 ◽

Author(s):

R. Martin

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Optimal Smoothing ◽

Minimum Statistics ◽

Power Spectral Density Estimation

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Bias compensation methods for minimum statistics noise power spectral density estimation

Signal Processing ◽

10.1016/j.sigpro.2005.07.037 ◽

2006 ◽

Vol 86 (6) ◽

pp. 1215-1229 ◽

Author(s):

Rainer Martin

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Noise Power ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Compensation Methods ◽

Minimum Statistics ◽

Bias Compensation ◽

Power Spectral Density Estimation

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