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GlobalSIP 2018

The 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP)  focuses on signal and information processing with an emphasis on up-and-coming signal processing themes. The conference features world-class plenary speeches, distinguished symposium talks, tutorials, exhibits, oral and poster sessions, and panels. GlobalSIP is comprised of co-located General Symposium and symposia selected based on responses to the call-for-symposia proposals.

First-order optimal sequential subspace change-point detection


We consider the sequential change-point detection problem of detecting changes that are characterized by a subspace structure. Such changes are frequent in high-dimensional streaming data altering the form of the corresponding covariance matrix. In this work we present a Subspace-CUSUM procedure and demonstrate its first-order asymptotic optimality properties for the case where the subspace structure is unknown and needs to be simultaneously estimated.

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Authors:
Liyan Xie, George V. Moustakides, Yao Xie
Submitted On:
21 November 2018 - 7:42pm
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GlobalSIP2018.pdf

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[1] Liyan Xie, George V. Moustakides, Yao Xie, "First-order optimal sequential subspace change-point detection", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3706. Accessed: Sep. 20, 2019.
@article{3706-18,
url = {http://sigport.org/3706},
author = {Liyan Xie; George V. Moustakides; Yao Xie },
publisher = {IEEE SigPort},
title = {First-order optimal sequential subspace change-point detection},
year = {2018} }
TY - EJOUR
T1 - First-order optimal sequential subspace change-point detection
AU - Liyan Xie; George V. Moustakides; Yao Xie
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3706
ER -
Liyan Xie, George V. Moustakides, Yao Xie. (2018). First-order optimal sequential subspace change-point detection. IEEE SigPort. http://sigport.org/3706
Liyan Xie, George V. Moustakides, Yao Xie, 2018. First-order optimal sequential subspace change-point detection. Available at: http://sigport.org/3706.
Liyan Xie, George V. Moustakides, Yao Xie. (2018). "First-order optimal sequential subspace change-point detection." Web.
1. Liyan Xie, George V. Moustakides, Yao Xie. First-order optimal sequential subspace change-point detection [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3706

Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition

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Authors:
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
Submitted On:
21 December 2018 - 3:48pm
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GlobalSIP2018_DECTMULTRA_Slides.pdf

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[1] Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler, "Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3705. Accessed: Sep. 20, 2019.
@article{3705-18,
url = {http://sigport.org/3705},
author = {Zhipeng Li; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler },
publisher = {IEEE SigPort},
title = {Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition},
year = {2018} }
TY - EJOUR
T1 - Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition
AU - Zhipeng Li; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3705
ER -
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler. (2018). Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. IEEE SigPort. http://sigport.org/3705
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler, 2018. Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. Available at: http://sigport.org/3705.
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler. (2018). "Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition." Web.
1. Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler. Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3705

Blind Co-Channel Source Separation in Sparse Interferometric Arrays

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Authors:
Ben A. Johnson, Douglas A. Schuyler
Submitted On:
21 November 2018 - 5:28pm
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[1] Ben A. Johnson, Douglas A. Schuyler, "Blind Co-Channel Source Separation in Sparse Interferometric Arrays", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3704. Accessed: Sep. 20, 2019.
@article{3704-18,
url = {http://sigport.org/3704},
author = {Ben A. Johnson; Douglas A. Schuyler },
publisher = {IEEE SigPort},
title = {Blind Co-Channel Source Separation in Sparse Interferometric Arrays},
year = {2018} }
TY - EJOUR
T1 - Blind Co-Channel Source Separation in Sparse Interferometric Arrays
AU - Ben A. Johnson; Douglas A. Schuyler
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3704
ER -
Ben A. Johnson, Douglas A. Schuyler. (2018). Blind Co-Channel Source Separation in Sparse Interferometric Arrays. IEEE SigPort. http://sigport.org/3704
Ben A. Johnson, Douglas A. Schuyler, 2018. Blind Co-Channel Source Separation in Sparse Interferometric Arrays. Available at: http://sigport.org/3704.
Ben A. Johnson, Douglas A. Schuyler. (2018). "Blind Co-Channel Source Separation in Sparse Interferometric Arrays." Web.
1. Ben A. Johnson, Douglas A. Schuyler. Blind Co-Channel Source Separation in Sparse Interferometric Arrays [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3704

Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications


Orthogonal frequency division multiplexing (OFDM) is widely considered as a promising technique for vehicular communications. In current OFDM-based vehicular communications systems, a portion of tones are dedicated for pilot symbols and transmitted along with the data-bearing tones to estimate residual frequency error. However, these pilot symbols themselves do not carry any information, thus inevitably degrading the system spectral efficiency (SE).

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Authors:
Qiang Li, Miaowen Wen, Yuekai Zhang, Jun Li, Fangjiong Chen, and Fei Ji
Submitted On:
21 November 2018 - 11:54am
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Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications.pdf

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[1] Qiang Li, Miaowen Wen, Yuekai Zhang, Jun Li, Fangjiong Chen, and Fei Ji, "Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3703. Accessed: Sep. 20, 2019.
@article{3703-18,
url = {http://sigport.org/3703},
author = {Qiang Li; Miaowen Wen; Yuekai Zhang; Jun Li; Fangjiong Chen; and Fei Ji },
publisher = {IEEE SigPort},
title = {Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications},
year = {2018} }
TY - EJOUR
T1 - Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications
AU - Qiang Li; Miaowen Wen; Yuekai Zhang; Jun Li; Fangjiong Chen; and Fei Ji
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3703
ER -
Qiang Li, Miaowen Wen, Yuekai Zhang, Jun Li, Fangjiong Chen, and Fei Ji. (2018). Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications. IEEE SigPort. http://sigport.org/3703
Qiang Li, Miaowen Wen, Yuekai Zhang, Jun Li, Fangjiong Chen, and Fei Ji, 2018. Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications. Available at: http://sigport.org/3703.
Qiang Li, Miaowen Wen, Yuekai Zhang, Jun Li, Fangjiong Chen, and Fei Ji. (2018). "Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications." Web.
1. Qiang Li, Miaowen Wen, Yuekai Zhang, Jun Li, Fangjiong Chen, and Fei Ji. Pilot Insertion with Index Modulation for OFDM-Based Vehicular Communications [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3703

ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS


The power consumption of the base stations is the major part of the total consumption of mobile communications, which implies that it is of great significance to reduce the radio transmit power consumption of base stations under the constraint of quality of service. The dynamic of the traffic leads to the adaptive adjustment of the antenna parameters of the base stations or even turning off some base stations serving low user traffic.

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21 November 2018 - 6:56am
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globalsip.pdf

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[1] , "ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3702. Accessed: Sep. 20, 2019.
@article{3702-18,
url = {http://sigport.org/3702},
author = { },
publisher = {IEEE SigPort},
title = {ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS},
year = {2018} }
TY - EJOUR
T1 - ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3702
ER -
. (2018). ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. IEEE SigPort. http://sigport.org/3702
, 2018. ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. Available at: http://sigport.org/3702.
. (2018). "ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS." Web.
1. . ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3702

FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS


Here, a novel approach is proposed to generate age progression (i.e., future looks) and regression (i.e., previous looks) of persons based on their face images. The proposed method addresses face aging as an unsupervised image-to-image translation problem where the goal is to translate a face image belonging to an age class to an image of

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Authors:
Evangelia Pantraki, Constantine Kotropoulos
Submitted On:
28 November 2018 - 10:52pm
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[1] Evangelia Pantraki, Constantine Kotropoulos, "FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3699. Accessed: Sep. 20, 2019.
@article{3699-18,
url = {http://sigport.org/3699},
author = {Evangelia Pantraki; Constantine Kotropoulos },
publisher = {IEEE SigPort},
title = {FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS},
year = {2018} }
TY - EJOUR
T1 - FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS
AU - Evangelia Pantraki; Constantine Kotropoulos
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3699
ER -
Evangelia Pantraki, Constantine Kotropoulos. (2018). FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS. IEEE SigPort. http://sigport.org/3699
Evangelia Pantraki, Constantine Kotropoulos, 2018. FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS. Available at: http://sigport.org/3699.
Evangelia Pantraki, Constantine Kotropoulos. (2018). "FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS." Web.
1. Evangelia Pantraki, Constantine Kotropoulos. FACE AGING AS IMAGE-TO-IMAGE TRANSLATION USING SHARED-LATENT SPACE GENERATIVE ADVERSARIAL NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3699

VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING


In recent years approximate message passing algorithms have gained a lot of attention and different versions have been proposed for coping with various system models. This paper focuses on vector approximate message passing (VAMP) for generalized linear models. While this algorithm is originally derived from a message passing point of view, we will review it from an estimation theory perspective and afterwards adapt it for a quantized compressed sensing application. Finally, numerical results are presented to evaluate the performance of the algorithm.

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Authors:
Daniel Franz, Volker Kuehn
Submitted On:
21 November 2018 - 4:49am
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[1] Daniel Franz, Volker Kuehn, "VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3698. Accessed: Sep. 20, 2019.
@article{3698-18,
url = {http://sigport.org/3698},
author = {Daniel Franz; Volker Kuehn },
publisher = {IEEE SigPort},
title = {VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING},
year = {2018} }
TY - EJOUR
T1 - VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING
AU - Daniel Franz; Volker Kuehn
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3698
ER -
Daniel Franz, Volker Kuehn. (2018). VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING. IEEE SigPort. http://sigport.org/3698
Daniel Franz, Volker Kuehn, 2018. VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING. Available at: http://sigport.org/3698.
Daniel Franz, Volker Kuehn. (2018). "VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING." Web.
1. Daniel Franz, Volker Kuehn. VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3698

Semi-Supervised Clustering Based on Signed Total Variation

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Authors:
Peter Berger, Thomas Dittrich, Gerald Matz
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21 November 2018 - 4:28am
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[1] Peter Berger, Thomas Dittrich, Gerald Matz, "Semi-Supervised Clustering Based on Signed Total Variation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3697. Accessed: Sep. 20, 2019.
@article{3697-18,
url = {http://sigport.org/3697},
author = {Peter Berger; Thomas Dittrich; Gerald Matz },
publisher = {IEEE SigPort},
title = {Semi-Supervised Clustering Based on Signed Total Variation},
year = {2018} }
TY - EJOUR
T1 - Semi-Supervised Clustering Based on Signed Total Variation
AU - Peter Berger; Thomas Dittrich; Gerald Matz
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3697
ER -
Peter Berger, Thomas Dittrich, Gerald Matz. (2018). Semi-Supervised Clustering Based on Signed Total Variation. IEEE SigPort. http://sigport.org/3697
Peter Berger, Thomas Dittrich, Gerald Matz, 2018. Semi-Supervised Clustering Based on Signed Total Variation. Available at: http://sigport.org/3697.
Peter Berger, Thomas Dittrich, Gerald Matz. (2018). "Semi-Supervised Clustering Based on Signed Total Variation." Web.
1. Peter Berger, Thomas Dittrich, Gerald Matz. Semi-Supervised Clustering Based on Signed Total Variation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3697

ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS


An adaptive sub-band differential microphone array beamformer is proposed in order to achieve a distortionless response at arbitrary target directions, using two closely-spaced microphones in a hearing aid. Different variations are introduced to have a distortionless response in the target speaker direction. Two of these variations assume a free field environment when designing the beamformer, while two other designs consider the head shadow effect by using Head-Related Transfer Functions (HRTFs), for hearing aid applications.

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Authors:
Hala As’ad, Martin Bouchard, Homayoun Kamkar-Parsi
Submitted On:
20 November 2018 - 11:59pm
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Poster

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[1] Hala As’ad, Martin Bouchard, Homayoun Kamkar-Parsi, "ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3696. Accessed: Sep. 20, 2019.
@article{3696-18,
url = {http://sigport.org/3696},
author = {Hala As’ad; Martin Bouchard; Homayoun Kamkar-Parsi },
publisher = {IEEE SigPort},
title = {ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS},
year = {2018} }
TY - EJOUR
T1 - ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS
AU - Hala As’ad; Martin Bouchard; Homayoun Kamkar-Parsi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3696
ER -
Hala As’ad, Martin Bouchard, Homayoun Kamkar-Parsi. (2018). ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS. IEEE SigPort. http://sigport.org/3696
Hala As’ad, Martin Bouchard, Homayoun Kamkar-Parsi, 2018. ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS. Available at: http://sigport.org/3696.
Hala As’ad, Martin Bouchard, Homayoun Kamkar-Parsi. (2018). "ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS." Web.
1. Hala As’ad, Martin Bouchard, Homayoun Kamkar-Parsi. ADAPTIVE DIFFERENTIAL MICROPHONE ARRAY WITH DISTORTIONLESS RESPONSE AT ARBITRARY DIRECTIONS FOR HEARING AID APPLICATIONS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3696

COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH

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Authors:
Gaoang Wang, Jenq-Neng Hwang, Yiling Xu, Farron Wallace, Craig S. Rose
Submitted On:
20 November 2018 - 7:03pm
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[1] Gaoang Wang, Jenq-Neng Hwang, Yiling Xu, Farron Wallace, Craig S. Rose, "COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3695. Accessed: Sep. 20, 2019.
@article{3695-18,
url = {http://sigport.org/3695},
author = {Gaoang Wang; Jenq-Neng Hwang; Yiling Xu; Farron Wallace; Craig S. Rose },
publisher = {IEEE SigPort},
title = {COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH},
year = {2018} }
TY - EJOUR
T1 - COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH
AU - Gaoang Wang; Jenq-Neng Hwang; Yiling Xu; Farron Wallace; Craig S. Rose
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3695
ER -
Gaoang Wang, Jenq-Neng Hwang, Yiling Xu, Farron Wallace, Craig S. Rose. (2018). COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH. IEEE SigPort. http://sigport.org/3695
Gaoang Wang, Jenq-Neng Hwang, Yiling Xu, Farron Wallace, Craig S. Rose, 2018. COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH. Available at: http://sigport.org/3695.
Gaoang Wang, Jenq-Neng Hwang, Yiling Xu, Farron Wallace, Craig S. Rose. (2018). "COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH." Web.
1. Gaoang Wang, Jenq-Neng Hwang, Yiling Xu, Farron Wallace, Craig S. Rose. COARSE-TO-FINE SEGMENTATION REFINEMENT AND MISSING SHAPE RECOVERY FOR HALIBUT FISH [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3695

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