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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.

ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING


Without relative motion or beam scanning, orbitalangular-momentum (OAM)-based radar is shown to be able to estimate azimuth of targets, which opens a new perspective for traditional radar techniques. However, the existing application of two-dimensional (2-D) fast Fourier transform (FFT) and multiple signal classification (MUSIC) algorithms in OAM-based radar targets detection doesn’t realize 2-D super-resolution and robust estimation.

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Authors:
Rui Chen, Wen-xuan Long, Yue Gao and Jiandong Li
Submitted On:
22 November 2018 - 10:45pm
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[1] Rui Chen, Wen-xuan Long, Yue Gao and Jiandong Li, "ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3729. Accessed: Jul. 21, 2019.
@article{3729-18,
url = {http://sigport.org/3729},
author = {Rui Chen; Wen-xuan Long; Yue Gao and Jiandong Li },
publisher = {IEEE SigPort},
title = {ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING},
year = {2018} }
TY - EJOUR
T1 - ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING
AU - Rui Chen; Wen-xuan Long; Yue Gao and Jiandong Li
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3729
ER -
Rui Chen, Wen-xuan Long, Yue Gao and Jiandong Li. (2018). ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING. IEEE SigPort. http://sigport.org/3729
Rui Chen, Wen-xuan Long, Yue Gao and Jiandong Li, 2018. ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING. Available at: http://sigport.org/3729.
Rui Chen, Wen-xuan Long, Yue Gao and Jiandong Li. (2018). "ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING." Web.
1. Rui Chen, Wen-xuan Long, Yue Gao and Jiandong Li. ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3729

LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER


Satellite system is regarded as important part of 5G networks. Software Defined Satellite Networking (SDSN), utilizing the advantages of Software Defined Networking (SDN), as believed in former work, can provide better performance. Different SDN architectures based on either multi-layer satellite constellation or sing-layer constellation have been proposed and the key technology has been validated. However, characteristics of satellites such as high propagation delay and coverage characteristics pose some problems on the network performance.

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Authors:
Hefei Hu, Bihua Tang
Submitted On:
22 November 2018 - 9:35pm
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[1] Hefei Hu, Bihua Tang, "LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3725. Accessed: Jul. 21, 2019.
@article{3725-18,
url = {http://sigport.org/3725},
author = {Hefei Hu; Bihua Tang },
publisher = {IEEE SigPort},
title = {LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER},
year = {2018} }
TY - EJOUR
T1 - LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER
AU - Hefei Hu; Bihua Tang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3725
ER -
Hefei Hu, Bihua Tang. (2018). LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER. IEEE SigPort. http://sigport.org/3725
Hefei Hu, Bihua Tang, 2018. LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER. Available at: http://sigport.org/3725.
Hefei Hu, Bihua Tang. (2018). "LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER." Web.
1. Hefei Hu, Bihua Tang. LEO SOFTWARE DEFINED NETWORKING BASED ON ONBOARD CONTROLLER [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3725

Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables


This work proposes a direct method to generate phase shift keying (PSK) symbols with desired correlation properties by mapping complex Gaussian random variables. The relationship between the cross-correlation of Gaussian and PSK symbols is derived in closed-form. This non-iterative approach outputs finite-alphabet constant-modulus waveforms capable of matching desired transmit beampatterns.

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Authors:
Seifallah Jardak, Sajid Ahmed, Mohamed-Slim Alouini
Submitted On:
22 November 2018 - 7:49pm
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[1] Seifallah Jardak, Sajid Ahmed, Mohamed-Slim Alouini, "Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3724. Accessed: Jul. 21, 2019.
@article{3724-18,
url = {http://sigport.org/3724},
author = {Seifallah Jardak; Sajid Ahmed; Mohamed-Slim Alouini },
publisher = {IEEE SigPort},
title = {Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables},
year = {2018} }
TY - EJOUR
T1 - Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables
AU - Seifallah Jardak; Sajid Ahmed; Mohamed-Slim Alouini
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3724
ER -
Seifallah Jardak, Sajid Ahmed, Mohamed-Slim Alouini. (2018). Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables. IEEE SigPort. http://sigport.org/3724
Seifallah Jardak, Sajid Ahmed, Mohamed-Slim Alouini, 2018. Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables. Available at: http://sigport.org/3724.
Seifallah Jardak, Sajid Ahmed, Mohamed-Slim Alouini. (2018). "Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables." Web.
1. Seifallah Jardak, Sajid Ahmed, Mohamed-Slim Alouini. Generation of Correlated PSK Waveforms Using Complex Gaussian Random Variables [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3724

ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION

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Authors:
Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady
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22 November 2018 - 7:05pm
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[1] Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady, "ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3723. Accessed: Jul. 21, 2019.
@article{3723-18,
url = {http://sigport.org/3723},
author = {Ana P. Costa; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady },
publisher = {IEEE SigPort},
title = {ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION},
year = {2018} }
TY - EJOUR
T1 - ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION
AU - Ana P. Costa; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3723
ER -
Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady. (2018). ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION. IEEE SigPort. http://sigport.org/3723
Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady, 2018. ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION. Available at: http://sigport.org/3723.
Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady. (2018). "ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION." Web.
1. Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady. ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3723

ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY

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26 November 2018 - 7:02pm
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[1] , "ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3722. Accessed: Jul. 21, 2019.
@article{3722-18,
url = {http://sigport.org/3722},
author = { },
publisher = {IEEE SigPort},
title = {ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY},
year = {2018} }
TY - EJOUR
T1 - ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3722
ER -
. (2018). ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY. IEEE SigPort. http://sigport.org/3722
, 2018. ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY. Available at: http://sigport.org/3722.
. (2018). "ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY." Web.
1. . ELECTROPHYSIOLOGICAL SIGNAL PROCESSING FOR INTRAOPERATIVE LOCALIZATION OF SUBTHALAMIC NUCLEUS DURING DEEP BRAIN STIMULATION SURGERY [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3722

Backdoor Attacks on Neural Network Operations


Machine learning is a rapidly growing field that has been expanding into various aspects of technology and science in recent years. Unfortunately, it has been shown recently that machine learning models are highly vulnerable to well-crafted adversarial attacks. This paper develops a novel method for maliciously inserting a backdoor into a well-trained neural network causing misclassification that is only active under rare input keys.

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Authors:
Yingjie Lao
Submitted On:
22 November 2018 - 6:26pm
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[1] Yingjie Lao, "Backdoor Attacks on Neural Network Operations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3721. Accessed: Jul. 21, 2019.
@article{3721-18,
url = {http://sigport.org/3721},
author = {Yingjie Lao },
publisher = {IEEE SigPort},
title = {Backdoor Attacks on Neural Network Operations},
year = {2018} }
TY - EJOUR
T1 - Backdoor Attacks on Neural Network Operations
AU - Yingjie Lao
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3721
ER -
Yingjie Lao. (2018). Backdoor Attacks on Neural Network Operations. IEEE SigPort. http://sigport.org/3721
Yingjie Lao, 2018. Backdoor Attacks on Neural Network Operations. Available at: http://sigport.org/3721.
Yingjie Lao. (2018). "Backdoor Attacks on Neural Network Operations." Web.
1. Yingjie Lao. Backdoor Attacks on Neural Network Operations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3721

HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?


Functional connectivity analysis by detecting neuronal coactivation in the brain can be efficiently done using Resting State Functional Magnetic Resonance Imaging (rs-fMRI) analysis. Most of the existing research in this area employ correlation-based group averaging strategies of spatial smoothing and temporal normalization of fMRI scans, whose reliability of results heavily depends on the voxel resolution of fMRI scan as well as scanning duration. Scanning period from 5 to 11 minutes has been chosen by most of the studies while estimating the connectivity of brain networks.

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Authors:
Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat Biswal
Submitted On:
22 November 2018 - 2:29pm
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[1] Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat Biswal, "HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3720. Accessed: Jul. 21, 2019.
@article{3720-18,
url = {http://sigport.org/3720},
author = {Debadatta Dash; Anil Kumar Sao; Jun Wang; Bharat Biswal },
publisher = {IEEE SigPort},
title = {HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?},
year = {2018} }
TY - EJOUR
T1 - HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?
AU - Debadatta Dash; Anil Kumar Sao; Jun Wang; Bharat Biswal
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3720
ER -
Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat Biswal. (2018). HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?. IEEE SigPort. http://sigport.org/3720
Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat Biswal, 2018. HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?. Available at: http://sigport.org/3720.
Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat Biswal. (2018). "HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?." Web.
1. Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat Biswal. HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS? [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3720

OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS


Speech production involves the synchronization of neural activity between the speech centers of the brain and the oralmotor system, allowing for the conversion of thoughts into

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Authors:
Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang
Submitted On:
22 November 2018 - 2:18pm
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[1] Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang, "OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3719. Accessed: Jul. 21, 2019.
@article{3719-18,
url = {http://sigport.org/3719},
author = {Debadatta Dash; Paul Ferrari; Saleem Malik; Jun Wang },
publisher = {IEEE SigPort},
title = {OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS},
year = {2018} }
TY - EJOUR
T1 - OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS
AU - Debadatta Dash; Paul Ferrari; Saleem Malik; Jun Wang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3719
ER -
Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang. (2018). OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS. IEEE SigPort. http://sigport.org/3719
Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang, 2018. OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS. Available at: http://sigport.org/3719.
Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang. (2018). "OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS." Web.
1. Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang. OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3719

Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring


To achieve real-time electrocardiography (ECG) telemonitoring, we need to overcome the scarce bandwidth. Compressed sensing (CS) emerges as a promising technique to greatly compress ECG signal with little computation. Furthermore, with edge-classification, we can reduce the data rate by transmitting abnormal ECG signals only. However, there are three main limitations: limited number of labeled ECG signal, tight battery constraint of edge devices and low response time requirement.

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Authors:
Kai-Chieh Hsu, Bo-Hong Cho, Ching-Yao Chou, and An-Yeu (Andy) Wu
Submitted On:
12 December 2018 - 10:09pm
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[1] Kai-Chieh Hsu, Bo-Hong Cho, Ching-Yao Chou, and An-Yeu (Andy) Wu, "Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3718. Accessed: Jul. 21, 2019.
@article{3718-18,
url = {http://sigport.org/3718},
author = {Kai-Chieh Hsu; Bo-Hong Cho; Ching-Yao Chou; and An-Yeu (Andy) Wu },
publisher = {IEEE SigPort},
title = {Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring},
year = {2018} }
TY - EJOUR
T1 - Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring
AU - Kai-Chieh Hsu; Bo-Hong Cho; Ching-Yao Chou; and An-Yeu (Andy) Wu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3718
ER -
Kai-Chieh Hsu, Bo-Hong Cho, Ching-Yao Chou, and An-Yeu (Andy) Wu. (2018). Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring. IEEE SigPort. http://sigport.org/3718
Kai-Chieh Hsu, Bo-Hong Cho, Ching-Yao Chou, and An-Yeu (Andy) Wu, 2018. Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring. Available at: http://sigport.org/3718.
Kai-Chieh Hsu, Bo-Hong Cho, Ching-Yao Chou, and An-Yeu (Andy) Wu. (2018). "Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring." Web.
1. Kai-Chieh Hsu, Bo-Hong Cho, Ching-Yao Chou, and An-Yeu (Andy) Wu. Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3718

Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes


We consider the forward link of a multibeam satellite system with
high spectral reuse and the novel low-complexity transmission and
detection strategies from [1]. More specifically, we study the impact
of a time offset between the antenna beams that cooperate to
simultaneously serve a given user. Assuming Gaussian signaling,
we provide closed-form expressions for the achievable rate region.
It is demonstrated that, in the absence of timing information at the
gateway, this region is not affected by a time offset. Our numerical

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Authors:
Nele Noels, Marc Moeneclaey, Tomas Ramirez, Carlos Mosquera, Marius Caus, Adriano Pastore
Submitted On:
26 November 2018 - 5:13pm
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[1] Nele Noels, Marc Moeneclaey, Tomas Ramirez, Carlos Mosquera, Marius Caus, Adriano Pastore, "Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3717. Accessed: Jul. 21, 2019.
@article{3717-18,
url = {http://sigport.org/3717},
author = {Nele Noels; Marc Moeneclaey; Tomas Ramirez; Carlos Mosquera; Marius Caus; Adriano Pastore },
publisher = {IEEE SigPort},
title = {Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes},
year = {2018} }
TY - EJOUR
T1 - Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes
AU - Nele Noels; Marc Moeneclaey; Tomas Ramirez; Carlos Mosquera; Marius Caus; Adriano Pastore
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3717
ER -
Nele Noels, Marc Moeneclaey, Tomas Ramirez, Carlos Mosquera, Marius Caus, Adriano Pastore. (2018). Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes. IEEE SigPort. http://sigport.org/3717
Nele Noels, Marc Moeneclaey, Tomas Ramirez, Carlos Mosquera, Marius Caus, Adriano Pastore, 2018. Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes. Available at: http://sigport.org/3717.
Nele Noels, Marc Moeneclaey, Tomas Ramirez, Carlos Mosquera, Marius Caus, Adriano Pastore. (2018). "Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes." Web.
1. Nele Noels, Marc Moeneclaey, Tomas Ramirez, Carlos Mosquera, Marius Caus, Adriano Pastore. Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3717

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