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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.

USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL


With benefits of fast query speed and low storage cost,hashing-based image retrieval approaches have garnered considerable attention from the research community. In this pa-per, we propose a novel Error-Corrected Deep Cross Modal Hashing (CMH-ECC) method which uses a bitmap specifying the presence of certain facial attributes as an input query to retrieve relevant face images from the database.

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Authors:
Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi
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24 November 2018 - 12:05am
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Presentation_Nov_23.pdf

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[1] Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi, "USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3765. Accessed: Dec. 16, 2018.
@article{3765-18,
url = {http://sigport.org/3765},
author = {Veeru Talreja; Fariborz Taherkhani; Matthew C. Valenti; Nasser M. Nasrabadi },
publisher = {IEEE SigPort},
title = {USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL},
year = {2018} }
TY - EJOUR
T1 - USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL
AU - Veeru Talreja; Fariborz Taherkhani; Matthew C. Valenti; Nasser M. Nasrabadi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3765
ER -
Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi. (2018). USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL. IEEE SigPort. http://sigport.org/3765
Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi, 2018. USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL. Available at: http://sigport.org/3765.
Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi. (2018). "USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL." Web.
1. Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi. USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3765

A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI


This study investigates a secure wireless communication scheme which combines two of the most effective strategies to combat (passive) eavesdropping, namely mixing information with artificial noise at the transmitter and jamming from a full-duplex receiver. All nodes are assumed to possess multiple antennas, which is known as a MIMOME network. The channel state information (CSI) of Eve is known to Eve but not to Alice and Bob. While such setup has been investigated in related works, new and important insights are revealed in this work.

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Authors:
Yingbo Hua
Submitted On:
27 November 2018 - 3:19am
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Copy of GlobSIP (2).pptx

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Copy of GlobSIP (2).pptx

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[1] Yingbo Hua, "A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3763. Accessed: Dec. 16, 2018.
@article{3763-18,
url = {http://sigport.org/3763},
author = {Yingbo Hua },
publisher = {IEEE SigPort},
title = {A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI},
year = {2018} }
TY - EJOUR
T1 - A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI
AU - Yingbo Hua
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3763
ER -
Yingbo Hua. (2018). A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI. IEEE SigPort. http://sigport.org/3763
Yingbo Hua, 2018. A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI. Available at: http://sigport.org/3763.
Yingbo Hua. (2018). "A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI." Web.
1. Yingbo Hua. A New Look at Secrecy Capacity of MIMOME Using Artificial Noise from Alice and Bob without Knowledge of Eve’s CSI [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3763

60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT


This paper presents a large-scale fading channel model at the 60 GHz band. This model is based on the measurement campaign that our team conducted at Boise Airport and Boise State University. The close-in reference path loss and floating-intercept path loss models with both statistical and stochastic approaches are investigated for these environments. The measurements were collected at several different locations in line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios using a high gain directional antenna.

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Authors:
Mahfuza Khatun, Hani Mehrpouyan, David Matolak
Submitted On:
28 November 2018 - 2:06am
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mahfuza_Globalsip_updated.pdf

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mahfuza_Globalsip_new.pdf

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mahfuza_Globalsip_v2.pdf

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mahfuza_Globalsip_v3.pdf

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[1] Mahfuza Khatun, Hani Mehrpouyan, David Matolak, "60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3762. Accessed: Dec. 16, 2018.
@article{3762-18,
url = {http://sigport.org/3762},
author = {Mahfuza Khatun; Hani Mehrpouyan; David Matolak },
publisher = {IEEE SigPort},
title = {60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT},
year = {2018} }
TY - EJOUR
T1 - 60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT
AU - Mahfuza Khatun; Hani Mehrpouyan; David Matolak
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3762
ER -
Mahfuza Khatun, Hani Mehrpouyan, David Matolak. (2018). 60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT. IEEE SigPort. http://sigport.org/3762
Mahfuza Khatun, Hani Mehrpouyan, David Matolak, 2018. 60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT. Available at: http://sigport.org/3762.
Mahfuza Khatun, Hani Mehrpouyan, David Matolak. (2018). "60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT." Web.
1. Mahfuza Khatun, Hani Mehrpouyan, David Matolak. 60-GHZ MILLIMETER-WAVE PATHLOSS MEASUREMENTS IN BOISE AIRPORT [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3762

POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS


Electroencephalography (EEG) has been widely used in human brain research. Several techniques in EEG relies on analyzing the topographical distribution of the data. One of the most common analysis is EEG microstate (EEG-ms). EEG-ms reflects the stable topographical representation of EEG signal lasting a few dozen milliseconds. EEG-ms were associated with resting state fMRI networks and were associated with mental processes and abnormalities.

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Authors:
Ahmad Mayeli, Hazem Refai, Martin Paulus, Jerzy Bodurka
Submitted On:
23 November 2018 - 8:20pm
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A presentation for polarity invariant transformation for EEG microstates analysis

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[1] Ahmad Mayeli, Hazem Refai, Martin Paulus, Jerzy Bodurka , "POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3761. Accessed: Dec. 16, 2018.
@article{3761-18,
url = {http://sigport.org/3761},
author = {Ahmad Mayeli; Hazem Refai; Martin Paulus; Jerzy Bodurka },
publisher = {IEEE SigPort},
title = {POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS},
year = {2018} }
TY - EJOUR
T1 - POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS
AU - Ahmad Mayeli; Hazem Refai; Martin Paulus; Jerzy Bodurka
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3761
ER -
Ahmad Mayeli, Hazem Refai, Martin Paulus, Jerzy Bodurka . (2018). POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS. IEEE SigPort. http://sigport.org/3761
Ahmad Mayeli, Hazem Refai, Martin Paulus, Jerzy Bodurka , 2018. POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS. Available at: http://sigport.org/3761.
Ahmad Mayeli, Hazem Refai, Martin Paulus, Jerzy Bodurka . (2018). "POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS." Web.
1. Ahmad Mayeli, Hazem Refai, Martin Paulus, Jerzy Bodurka . POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3761

Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements


Precise measurement and characterization of millimeter wave channels requires antennas capable of high angular resolution to resolve closely spaced multipath sources. To achieve angular resolution on the order of a few degrees these antennas must be electrically large which is impractical for phased array architectures at millimeter wave frequencies. An alternative approach is to synthesize a virtual aperture in space by using an accurate mechanical positioner to move a receive antenna to points along a sampling grid.

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Authors:
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley
Submitted On:
23 November 2018 - 5:36pm
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Vouras_GlobalSIP_2018_Session_MMW_L1_112918_Slides.pdf

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[1] Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley, "Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3759. Accessed: Dec. 16, 2018.
@article{3759-18,
url = {http://sigport.org/3759},
author = {Alec Weiss; Maria Becker; Ben Jamroz; Jeanne Quimby; Dylan Williams; Kate Remley },
publisher = {IEEE SigPort},
title = {Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements},
year = {2018} }
TY - EJOUR
T1 - Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements
AU - Alec Weiss; Maria Becker; Ben Jamroz; Jeanne Quimby; Dylan Williams; Kate Remley
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3759
ER -
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley. (2018). Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements. IEEE SigPort. http://sigport.org/3759
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley, 2018. Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements. Available at: http://sigport.org/3759.
Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley. (2018). "Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements." Web.
1. Alec Weiss, Maria Becker, Ben Jamroz, Jeanne Quimby, Dylan Williams, Kate Remley. Gradient-Based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3759

On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas


We consider a cognitive radio system, in which the secondary users (SUs) and primary users (PUs) coexist. The SUs are equipped with steerable directional antennas. In our system, the secondary transmitter (SUtx) first senses the spectrum (with errors) for a duration of τ, and, then transmits data to the secondary receiver (SUrx) if spectrum is sensed idle. The sensing time as well as the orientation of SUtx's antenna affect the accuracy of spectrum sensing and yield a trade-off between spectrum sensing and capacity of the secondary network.

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Authors:
Hassan Yazdani, Azadeh Vosoughi
Submitted On:
27 November 2018 - 1:22am
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Hassan Yazdani GlobalSIP 2018 - 6.pdf

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Hassan Yazdani GlobalSIP 2018 - 5.pdf

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[1] Hassan Yazdani, Azadeh Vosoughi, "On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3758. Accessed: Dec. 16, 2018.
@article{3758-18,
url = {http://sigport.org/3758},
author = {Hassan Yazdani; Azadeh Vosoughi },
publisher = {IEEE SigPort},
title = {On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas},
year = {2018} }
TY - EJOUR
T1 - On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas
AU - Hassan Yazdani; Azadeh Vosoughi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3758
ER -
Hassan Yazdani, Azadeh Vosoughi. (2018). On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas. IEEE SigPort. http://sigport.org/3758
Hassan Yazdani, Azadeh Vosoughi, 2018. On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas. Available at: http://sigport.org/3758.
Hassan Yazdani, Azadeh Vosoughi. (2018). "On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas." Web.
1. Hassan Yazdani, Azadeh Vosoughi. On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3758

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM

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23 November 2018 - 5:02pm
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[1] , "Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3757. Accessed: Dec. 16, 2018.
@article{3757-18,
url = {http://sigport.org/3757},
author = { },
publisher = {IEEE SigPort},
title = {Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM},
year = {2018} }
TY - EJOUR
T1 - Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3757
ER -
. (2018). Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. IEEE SigPort. http://sigport.org/3757
, 2018. Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. Available at: http://sigport.org/3757.
. (2018). "Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM." Web.
1. . Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3757

Multi-View Frame Reconstruction with Conditional GAN


Multi-view frame reconstruction is an important problem particularly when multiple frames are missing and past and future frames within the camera are far apart from the missing ones. Realistic coherent frames can still be reconstructed using corresponding frames from other overlapping cameras. We propose an adversarial approach to learn the
spatio-temporal representation of the missing frame using conditional Generative Adversarial Network (cGAN). The conditional input to each cGAN is the preceding or following

GlobalSIP.pdf

PDF icon GlobalSIP.pdf (17 downloads)

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Authors:
Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury
Submitted On:
23 November 2018 - 3:53pm
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GlobalSIP.pdf

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[1] Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury, "Multi-View Frame Reconstruction with Conditional GAN", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3756. Accessed: Dec. 16, 2018.
@article{3756-18,
url = {http://sigport.org/3756},
author = {Tahmida Mahmud; Mohammad Billah; Amit K. Roy-Chowdhury },
publisher = {IEEE SigPort},
title = {Multi-View Frame Reconstruction with Conditional GAN},
year = {2018} }
TY - EJOUR
T1 - Multi-View Frame Reconstruction with Conditional GAN
AU - Tahmida Mahmud; Mohammad Billah; Amit K. Roy-Chowdhury
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3756
ER -
Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury. (2018). Multi-View Frame Reconstruction with Conditional GAN. IEEE SigPort. http://sigport.org/3756
Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury, 2018. Multi-View Frame Reconstruction with Conditional GAN. Available at: http://sigport.org/3756.
Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury. (2018). "Multi-View Frame Reconstruction with Conditional GAN." Web.
1. Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury. Multi-View Frame Reconstruction with Conditional GAN [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3756

A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels


The downlink capacity of a unicast network with a large number of users than the base station transmit antennas depends on user selection and interference among the selected users. Various suboptimal selection schemes in combination with suboptimal or optimal precoding have been proposed in the literature, and some of these techniques asymptotically achieve the sum capacity of DPC, as the number of users goes to infinity. In the previous works, the joint design problem is addressed as a decoupled problem of selection and precoding either at the design level or the solution level.

Paper Details

Authors:
Ashok BANDI, Bhavani Shankar Mysore R, Sina Maleki, Symeon chatzinotas, Bjorn Ottersten
Submitted On:
23 November 2018 - 3:02pm
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GlobalSIP2018_poster_v2.pdf

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[1] Ashok BANDI, Bhavani Shankar Mysore R, Sina Maleki, Symeon chatzinotas, Bjorn Ottersten, "A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3755. Accessed: Dec. 16, 2018.
@article{3755-18,
url = {http://sigport.org/3755},
author = {Ashok BANDI; Bhavani Shankar Mysore R; Sina Maleki; Symeon chatzinotas; Bjorn Ottersten },
publisher = {IEEE SigPort},
title = {A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels},
year = {2018} }
TY - EJOUR
T1 - A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels
AU - Ashok BANDI; Bhavani Shankar Mysore R; Sina Maleki; Symeon chatzinotas; Bjorn Ottersten
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3755
ER -
Ashok BANDI, Bhavani Shankar Mysore R, Sina Maleki, Symeon chatzinotas, Bjorn Ottersten. (2018). A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels. IEEE SigPort. http://sigport.org/3755
Ashok BANDI, Bhavani Shankar Mysore R, Sina Maleki, Symeon chatzinotas, Bjorn Ottersten, 2018. A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels. Available at: http://sigport.org/3755.
Ashok BANDI, Bhavani Shankar Mysore R, Sina Maleki, Symeon chatzinotas, Bjorn Ottersten. (2018). "A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels." Web.
1. Ashok BANDI, Bhavani Shankar Mysore R, Sina Maleki, Symeon chatzinotas, Bjorn Ottersten. A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3755

GlobalSIP 2018 Presentation Slide

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Submitted On:
23 November 2018 - 1:40pm
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GlobalSIP2018_DongHyeYe.pptx

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[1] , "GlobalSIP 2018 Presentation Slide", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3754. Accessed: Dec. 16, 2018.
@article{3754-18,
url = {http://sigport.org/3754},
author = { },
publisher = {IEEE SigPort},
title = {GlobalSIP 2018 Presentation Slide},
year = {2018} }
TY - EJOUR
T1 - GlobalSIP 2018 Presentation Slide
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3754
ER -
. (2018). GlobalSIP 2018 Presentation Slide. IEEE SigPort. http://sigport.org/3754
, 2018. GlobalSIP 2018 Presentation Slide. Available at: http://sigport.org/3754.
. (2018). "GlobalSIP 2018 Presentation Slide." Web.
1. . GlobalSIP 2018 Presentation Slide [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3754

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