Sorry, you need to enable JavaScript to visit this website.

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.

Differentially Private Sparse Inverse Covariance Estimation

Paper Details

Authors:
Mengdi Huai, Jinhui Xu
Submitted On:
20 November 2018 - 4:05pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

private_sparse_inverse.pdf

(61)

Subscribe

[1] Mengdi Huai, Jinhui Xu, "Differentially Private Sparse Inverse Covariance Estimation ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3694. Accessed: Jul. 22, 2019.
@article{3694-18,
url = {http://sigport.org/3694},
author = {Mengdi Huai; Jinhui Xu },
publisher = {IEEE SigPort},
title = {Differentially Private Sparse Inverse Covariance Estimation },
year = {2018} }
TY - EJOUR
T1 - Differentially Private Sparse Inverse Covariance Estimation
AU - Mengdi Huai; Jinhui Xu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3694
ER -
Mengdi Huai, Jinhui Xu. (2018). Differentially Private Sparse Inverse Covariance Estimation . IEEE SigPort. http://sigport.org/3694
Mengdi Huai, Jinhui Xu, 2018. Differentially Private Sparse Inverse Covariance Estimation . Available at: http://sigport.org/3694.
Mengdi Huai, Jinhui Xu. (2018). "Differentially Private Sparse Inverse Covariance Estimation ." Web.
1. Mengdi Huai, Jinhui Xu. Differentially Private Sparse Inverse Covariance Estimation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3694

FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS


This paper proposes a fast technique for matching a query image to numerous database images under geometric variations in rotation, scale, and translation. Our proposed method extracts the Fourier-Mellin phase features from the images for invariant matching. The online matching process in our method is fast because it directly determines identification based on the correlation value between those features without the geometric alignment.

Paper Details

Authors:
Toru Takahashi, Kengo Makino, Yuta Kudo
Submitted On:
20 November 2018 - 2:22am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

20181128-GlobalSIP2018_Poster_V3.pdf

(65)

Movie-Demo-ShaftID_v4.zip

(57)

Subscribe

[1] Toru Takahashi, Kengo Makino, Yuta Kudo , "FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3693. Accessed: Jul. 22, 2019.
@article{3693-18,
url = {http://sigport.org/3693},
author = {Toru Takahashi; Kengo Makino; Yuta Kudo },
publisher = {IEEE SigPort},
title = {FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS},
year = {2018} }
TY - EJOUR
T1 - FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS
AU - Toru Takahashi; Kengo Makino; Yuta Kudo
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3693
ER -
Toru Takahashi, Kengo Makino, Yuta Kudo . (2018). FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS. IEEE SigPort. http://sigport.org/3693
Toru Takahashi, Kengo Makino, Yuta Kudo , 2018. FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS. Available at: http://sigport.org/3693.
Toru Takahashi, Kengo Makino, Yuta Kudo . (2018). "FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS." Web.
1. Toru Takahashi, Kengo Makino, Yuta Kudo . FAST IMAGE MATCHING BASED ON FOURIER-MELLIN PHASE CORRELATION FOR TAG-LESS IDENTIFICATION OF MASS-PRODUCED PARTS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3693

CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS


Human action recognition has a wide range of applications including biometrics and surveillance. Existing methods mostly focus on a single modality, insufficient to characterize variations among different motions. To address this problem, we present a CNN-based human action recognition framework by fusing depth and skeleton modalities. The proposed Adaptive Multiscale Depth Motion Maps (AM-DMMs) are calculated from depth maps to capture shape, motion cues. Moreover, adaptive temporal windows ensure that AM-DMMs are robust to motion speed variations.

Paper Details

Authors:
Junyou He,Hailun Xia,Chunyan Feng,Yunfei Chu
Submitted On:
20 November 2018 - 5:44am
Short Link:
Type:
Event:
Paper Code:
Document Year:
Cite

Document Files

CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS

(67)

Subscribe

[1] Junyou He,Hailun Xia,Chunyan Feng,Yunfei Chu, "CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3692. Accessed: Jul. 22, 2019.
@article{3692-18,
url = {http://sigport.org/3692},
author = {Junyou He;Hailun Xia;Chunyan Feng;Yunfei Chu },
publisher = {IEEE SigPort},
title = {CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS},
year = {2018} }
TY - EJOUR
T1 - CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS
AU - Junyou He;Hailun Xia;Chunyan Feng;Yunfei Chu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3692
ER -
Junyou He,Hailun Xia,Chunyan Feng,Yunfei Chu. (2018). CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS. IEEE SigPort. http://sigport.org/3692
Junyou He,Hailun Xia,Chunyan Feng,Yunfei Chu, 2018. CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS. Available at: http://sigport.org/3692.
Junyou He,Hailun Xia,Chunyan Feng,Yunfei Chu. (2018). "CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS." Web.
1. Junyou He,Hailun Xia,Chunyan Feng,Yunfei Chu. CNN-BASED ACTION RECOGNITION USING ADAPTIVE MULTISCALE DEPTH MOTION MAPS AND STABLE JOINT DISTANCE MAPS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3692

A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI


This paper determined the best combination that maximizes the classification accuracy of single-channel electroencephalogram (EEG)-based motor imagery brain–computer interfaces (BCIs). BCIs allow people including completely locked-in patients to communicate with others without actual movements of body. Whereas EEGs are usually observed by multiple electrodes, single-channel measurement has been recently studied for gaining the simplicity of use.

Paper Details

Authors:
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
Submitted On:
26 November 2018 - 2:17pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI.pdf

(19)

Keywords

Additional Categories

Subscribe

[1] Suguru Kanoga, Atsunori Kanemura, Hideki Asoh, "A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3691. Accessed: Jul. 22, 2019.
@article{3691-18,
url = {http://sigport.org/3691},
author = {Suguru Kanoga; Atsunori Kanemura; Hideki Asoh },
publisher = {IEEE SigPort},
title = {A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI},
year = {2018} }
TY - EJOUR
T1 - A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI
AU - Suguru Kanoga; Atsunori Kanemura; Hideki Asoh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3691
ER -
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. (2018). A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI. IEEE SigPort. http://sigport.org/3691
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh, 2018. A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI. Available at: http://sigport.org/3691.
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. (2018). "A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI." Web.
1. Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3691

A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI


This paper determined the best combination that maximizes the classification accuracy of single-channel electroencephalogram (EEG)-based motor imagery brain–computer interfaces (BCIs). BCIs allow people including completely locked-in patients to communicate with others without actual movements of body. Whereas EEGs are usually observed by multiple electrodes, single-channel measurement has been recently studied for gaining the simplicity of use.

Paper Details

Authors:
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
Submitted On:
27 March 2019 - 9:05am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI.pdf

(13)

Keywords

Additional Categories

Subscribe

[1] Suguru Kanoga, Atsunori Kanemura, Hideki Asoh, "A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3689. Accessed: Jul. 22, 2019.
@article{3689-18,
url = {http://sigport.org/3689},
author = {Suguru Kanoga; Atsunori Kanemura; Hideki Asoh },
publisher = {IEEE SigPort},
title = {A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI},
year = {2018} }
TY - EJOUR
T1 - A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI
AU - Suguru Kanoga; Atsunori Kanemura; Hideki Asoh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3689
ER -
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. (2018). A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI. IEEE SigPort. http://sigport.org/3689
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh, 2018. A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI. Available at: http://sigport.org/3689.
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. (2018). "A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI." Web.
1. Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3689

What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance


Civic engagement platforms such as SeeClickFix and FixMyStreet have revolutionized the way citizens interact with local governments to report and resolve urban issues. However, recognizing which urban issues are important to the community in an accurate and timely manner is essential for authorities to prioritize important issues, allocate resources and maintain citizens’ satisfaction with local governments.

Paper Details

Authors:
Yasitha Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois, Charalampos Chelmis
Submitted On:
19 November 2018 - 3:29pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

SCC_Final.pdf

(61)

Keywords

Additional Categories

Subscribe

[1] Yasitha Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois, Charalampos Chelmis, "What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3688. Accessed: Jul. 22, 2019.
@article{3688-18,
url = {http://sigport.org/3688},
author = {Yasitha Liyanage; Mengfan Yao; Christopher Yong; Daphney-Stavroula Zois; Charalampos Chelmis },
publisher = {IEEE SigPort},
title = {What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance},
year = {2018} }
TY - EJOUR
T1 - What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance
AU - Yasitha Liyanage; Mengfan Yao; Christopher Yong; Daphney-Stavroula Zois; Charalampos Chelmis
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3688
ER -
Yasitha Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois, Charalampos Chelmis. (2018). What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance. IEEE SigPort. http://sigport.org/3688
Yasitha Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois, Charalampos Chelmis, 2018. What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance. Available at: http://sigport.org/3688.
Yasitha Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois, Charalampos Chelmis. (2018). "What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance." Web.
1. Yasitha Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois, Charalampos Chelmis. What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3688

Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions


Accurate traffic accident detection is crucial to improving road safety conditions and route navigation, and to making informed decisions in urban planning among others. This paper proposes a Bayesian quickest change detection approach for accurate freeway accident detection in near–real–time based on speed sensor readings. Since post–accident conditions are hardly known, a maximum likelihood method is devised to track the relevant unknown parameters over time. Four aggregation schemes are designed to exploit the spatial correlation among sensors.

Paper Details

Authors:
Yasitha Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis
Submitted On:
19 November 2018 - 3:29pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Transportation_Final.pdf

(47)

Keywords

Additional Categories

Subscribe

[1] Yasitha Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis, "Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3687. Accessed: Jul. 22, 2019.
@article{3687-18,
url = {http://sigport.org/3687},
author = {Yasitha Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis },
publisher = {IEEE SigPort},
title = {Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions},
year = {2018} }
TY - EJOUR
T1 - Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions
AU - Yasitha Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3687
ER -
Yasitha Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis. (2018). Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions. IEEE SigPort. http://sigport.org/3687
Yasitha Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis, 2018. Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions. Available at: http://sigport.org/3687.
Yasitha Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis. (2018). "Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions." Web.
1. Yasitha Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis. Quickest Freeway Accident Detection Under Unknown Post–Accident Conditions [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3687

DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND


In the 3.5 GHz Citizens Broadband Radio Service (CBRS), 100 MHz of spectrum will be shared between commercial users and federal incumbents. Dynamic use of the band relies on a network of sensors dedicated to detecting the presence of federal incumbent signals and triggering protection mechanisms when necessary. This paper uses field-measured waveforms of incumbent signals in and adjacent to the band to evaluate the performance of matched-filter detectors for these sensors.

Paper Details

Authors:
Michael Souryal, Wen-Bin Yang
Submitted On:
19 November 2018 - 1:36pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

globalSIP_DETECTION OF INCUMBENT RADAR IN CBRS BAND.pdf

(0)

Keywords

Additional Categories

Subscribe

[1] Michael Souryal, Wen-Bin Yang, "DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3686. Accessed: Jul. 22, 2019.
@article{3686-18,
url = {http://sigport.org/3686},
author = {Michael Souryal; Wen-Bin Yang },
publisher = {IEEE SigPort},
title = {DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND},
year = {2018} }
TY - EJOUR
T1 - DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND
AU - Michael Souryal; Wen-Bin Yang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3686
ER -
Michael Souryal, Wen-Bin Yang. (2018). DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND. IEEE SigPort. http://sigport.org/3686
Michael Souryal, Wen-Bin Yang, 2018. DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND. Available at: http://sigport.org/3686.
Michael Souryal, Wen-Bin Yang. (2018). "DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND." Web.
1. Michael Souryal, Wen-Bin Yang. DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3686

Toward Tracking Multiple Building Occupants by Footstep Vibrations


Several researchers recently demonstrated that it is feasible to locate building occupants solely from measured footstep vibrations. The research reported here applies that capability to track multiple building occupants in motion. In contrast to many indoor tracking methods based on wireless technology, this method frees individuals from the need to carry a device, and, furthermore, permits localization and tracking in facilities that restrict or prohibit wireless devices or cameras.

Paper Details

Authors:
Jeffrey Poston
Submitted On:
19 November 2018 - 8:08am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP2018_Poston_brief.pdf

(63)

Subscribe

[1] Jeffrey Poston, "Toward Tracking Multiple Building Occupants by Footstep Vibrations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3685. Accessed: Jul. 22, 2019.
@article{3685-18,
url = {http://sigport.org/3685},
author = {Jeffrey Poston },
publisher = {IEEE SigPort},
title = {Toward Tracking Multiple Building Occupants by Footstep Vibrations},
year = {2018} }
TY - EJOUR
T1 - Toward Tracking Multiple Building Occupants by Footstep Vibrations
AU - Jeffrey Poston
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3685
ER -
Jeffrey Poston. (2018). Toward Tracking Multiple Building Occupants by Footstep Vibrations. IEEE SigPort. http://sigport.org/3685
Jeffrey Poston, 2018. Toward Tracking Multiple Building Occupants by Footstep Vibrations. Available at: http://sigport.org/3685.
Jeffrey Poston. (2018). "Toward Tracking Multiple Building Occupants by Footstep Vibrations." Web.
1. Jeffrey Poston. Toward Tracking Multiple Building Occupants by Footstep Vibrations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3685

Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel

Paper Details

Authors:
Chih-Yu Wang, Wei-Ho Chung
Submitted On:
19 November 2018 - 2:38am
Short Link:
Type:
Event:
Document Year:
Cite

Document Files

GlobalSIP.pdf

(777)

Subscribe

[1] Chih-Yu Wang, Wei-Ho Chung, "Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3684. Accessed: Jul. 22, 2019.
@article{3684-18,
url = {http://sigport.org/3684},
author = {Chih-Yu Wang; Wei-Ho Chung },
publisher = {IEEE SigPort},
title = {Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel},
year = {2018} }
TY - EJOUR
T1 - Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel
AU - Chih-Yu Wang; Wei-Ho Chung
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3684
ER -
Chih-Yu Wang, Wei-Ho Chung. (2018). Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel. IEEE SigPort. http://sigport.org/3684
Chih-Yu Wang, Wei-Ho Chung, 2018. Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel. Available at: http://sigport.org/3684.
Chih-Yu Wang, Wei-Ho Chung. (2018). "Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel." Web.
1. Chih-Yu Wang, Wei-Ho Chung. Exact Performance of NOMA with Full-Duplex Energy Harvesting Relaying in Nakagami-m Frequency-Selective Fading Channel [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3684

Pages