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Applications of Sensor Array and Multi-channel Signal Processing

MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING


Seismic traces recorded in a single sensor from multiple shots demonstrate significant correlation. We propose a memory-assisted seismic signal compression method based on dictionary learning and sparse coding that would explore this correlation. Different from traditional methods, the dictionary used for compression is learned and updated by the information extracted from the common memory between the sender (sensor) node and the receiver node, over a fixed window of the most recent traces. The common memory is formed by the previously transmitted traces.

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Authors:
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri
Submitted On:
10 November 2017 - 9:34am
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MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING

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[1] Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri, "MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2292. Accessed: Jan. 21, 2018.
@article{2292-17,
url = {http://sigport.org/2292},
author = {Xin Tian; Afshin Abdi; Entao Liu; Faramarz Fekri },
publisher = {IEEE SigPort},
title = {MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING},
year = {2017} }
TY - EJOUR
T1 - MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING
AU - Xin Tian; Afshin Abdi; Entao Liu; Faramarz Fekri
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2292
ER -
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri. (2017). MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING. IEEE SigPort. http://sigport.org/2292
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri, 2017. MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING. Available at: http://sigport.org/2292.
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri. (2017). "MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING." Web.
1. Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri. MEMORY-ASSISTED SEISMIC SIGNAL COMPRESSION BASED ON DICTIONARY LEARNING AND SPARSE CODING [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2292

Distributionally Robust Chance-Constrained Minimum Variance Beamforming


Distributionally Robust Chance-Constrained Minimum Variance Beamforming

This paper studies distributionally robust chance-constrained minimum variance beamforming. In contrast to deterministic modeling of the steering vector, our approach models the uncertainty statistically via distributions. We select the weights that minimize the combined output power subject to the distributionally robust chance constraint that for all distributions in the uncertainty set, the gain should exceed unity with high probability.

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Authors:
Xiao Zhang, Qiang Feng, Ning Ge, Jianhua Lu
Submitted On:
23 March 2016 - 11:12am
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[1] Xiao Zhang, Qiang Feng, Ning Ge, Jianhua Lu, "Distributionally Robust Chance-Constrained Minimum Variance Beamforming", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/996. Accessed: Jan. 21, 2018.
@article{996-16,
url = {http://sigport.org/996},
author = {Xiao Zhang; Qiang Feng; Ning Ge; Jianhua Lu },
publisher = {IEEE SigPort},
title = {Distributionally Robust Chance-Constrained Minimum Variance Beamforming},
year = {2016} }
TY - EJOUR
T1 - Distributionally Robust Chance-Constrained Minimum Variance Beamforming
AU - Xiao Zhang; Qiang Feng; Ning Ge; Jianhua Lu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/996
ER -
Xiao Zhang, Qiang Feng, Ning Ge, Jianhua Lu. (2016). Distributionally Robust Chance-Constrained Minimum Variance Beamforming. IEEE SigPort. http://sigport.org/996
Xiao Zhang, Qiang Feng, Ning Ge, Jianhua Lu, 2016. Distributionally Robust Chance-Constrained Minimum Variance Beamforming. Available at: http://sigport.org/996.
Xiao Zhang, Qiang Feng, Ning Ge, Jianhua Lu. (2016). "Distributionally Robust Chance-Constrained Minimum Variance Beamforming." Web.
1. Xiao Zhang, Qiang Feng, Ning Ge, Jianhua Lu. Distributionally Robust Chance-Constrained Minimum Variance Beamforming [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/996

Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm


Imaging techniques in radio interferometry often face a significant challenge posed by the large number of antenna signals received, from which the image information needs to be extracted. Beamforming is envisaged to reduce the rate required for transporting data from groups of antennas to a central site for further processing. We propose a novel method for image reconstruction based on the iterative scanning of a region of interest, combined with randomized beamforming. A modified approximate message-passing algorithm

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Authors:
Paul Hurley, Matthieu Simeoni, Sanaz Kazemi
Submitted On:
19 March 2016 - 10:22am
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ICASSP_2016_poster_v1_A0.pdf

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[1] Paul Hurley, Matthieu Simeoni, Sanaz Kazemi, "Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/813. Accessed: Jan. 21, 2018.
@article{813-16,
url = {http://sigport.org/813},
author = {Paul Hurley; Matthieu Simeoni; Sanaz Kazemi },
publisher = {IEEE SigPort},
title = {Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm},
year = {2016} }
TY - EJOUR
T1 - Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm
AU - Paul Hurley; Matthieu Simeoni; Sanaz Kazemi
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/813
ER -
Paul Hurley, Matthieu Simeoni, Sanaz Kazemi. (2016). Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm. IEEE SigPort. http://sigport.org/813
Paul Hurley, Matthieu Simeoni, Sanaz Kazemi, 2016. Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm. Available at: http://sigport.org/813.
Paul Hurley, Matthieu Simeoni, Sanaz Kazemi. (2016). "Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm." Web.
1. Paul Hurley, Matthieu Simeoni, Sanaz Kazemi. Imaging in Radio Interferometry by Iterative Subset Scanning Using a Modified AMP Algorithm [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/813

Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging


In this talk, we present a new time domain electromagnetic tomographic imaging algorithm using coded
multiple excitation signals to reconstruct an extended object immersed in inhomogeneous medium. Three waveform encoding
techniques are developed to enable simultaneous source excitation as a way of improving computational efficiency

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Authors:
Chengdong Cheng, Enyue Lu
Submitted On:
23 February 2016 - 1:44pm
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GlobalSIP2015_2.pdf

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[1] Chengdong Cheng, Enyue Lu, "Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/542. Accessed: Jan. 21, 2018.
@article{542-15,
url = {http://sigport.org/542},
author = {Chengdong Cheng; Enyue Lu },
publisher = {IEEE SigPort},
title = {Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging},
year = {2015} }
TY - EJOUR
T1 - Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging
AU - Chengdong Cheng; Enyue Lu
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/542
ER -
Chengdong Cheng, Enyue Lu. (2015). Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging. IEEE SigPort. http://sigport.org/542
Chengdong Cheng, Enyue Lu, 2015. Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging. Available at: http://sigport.org/542.
Chengdong Cheng, Enyue Lu. (2015). "Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging." Web.
1. Chengdong Cheng, Enyue Lu. Waveform Encoding for Nonlinear Electromagnetic Tomographic Imaging [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/542