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

Signal Processing for Communications and Networking

In-Network Linear Regression with Arbitrarily Split Data Matrices


We address for the first time the question of how networked agents can collaboratively fit a Morozov-regularized linear model when each agent knows a summand of the regression data. This question generalizes previously studied data-splitting scenarios, which require that the data be partitioned among the agents. To answer the question, we introduce a class of network-structured problems, which contains the regularization problem, and by using the Douglas-Rachford splitting algorithm, we develop a distributed algorithm to solve these problems.

Paper Details

Authors:
François D. Côté, Ioannis N. Psaromiligkos, Warren J. Gross
Submitted On:
5 December 2016 - 6:33pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Poster.pdf

(1231)

Subscribe

[1] François D. Côté, Ioannis N. Psaromiligkos, Warren J. Gross, "In-Network Linear Regression with Arbitrarily Split Data Matrices", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1353. Accessed: May. 25, 2019.
@article{1353-16,
url = {http://sigport.org/1353},
author = {François D. Côté; Ioannis N. Psaromiligkos; Warren J. Gross },
publisher = {IEEE SigPort},
title = {In-Network Linear Regression with Arbitrarily Split Data Matrices},
year = {2016} }
TY - EJOUR
T1 - In-Network Linear Regression with Arbitrarily Split Data Matrices
AU - François D. Côté; Ioannis N. Psaromiligkos; Warren J. Gross
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1353
ER -
François D. Côté, Ioannis N. Psaromiligkos, Warren J. Gross. (2016). In-Network Linear Regression with Arbitrarily Split Data Matrices. IEEE SigPort. http://sigport.org/1353
François D. Côté, Ioannis N. Psaromiligkos, Warren J. Gross, 2016. In-Network Linear Regression with Arbitrarily Split Data Matrices. Available at: http://sigport.org/1353.
François D. Côté, Ioannis N. Psaromiligkos, Warren J. Gross. (2016). "In-Network Linear Regression with Arbitrarily Split Data Matrices." Web.
1. François D. Côté, Ioannis N. Psaromiligkos, Warren J. Gross. In-Network Linear Regression with Arbitrarily Split Data Matrices [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1353

DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS

Paper Details

Authors:
Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama
Submitted On:
7 December 2016 - 10:49am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP_DPD_Mabdelaziz.pdf

(380)

Subscribe

[1] Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, "DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1347. Accessed: May. 25, 2019.
@article{1347-16,
url = {http://sigport.org/1347},
author = {Mahmoud Abdelaziz; Lauri Anttila; Mikko Valkama },
publisher = {IEEE SigPort},
title = {DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS},
year = {2016} }
TY - EJOUR
T1 - DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS
AU - Mahmoud Abdelaziz; Lauri Anttila; Mikko Valkama
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1347
ER -
Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama. (2016). DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS. IEEE SigPort. http://sigport.org/1347
Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, 2016. DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS. Available at: http://sigport.org/1347.
Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama. (2016). "DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS." Web.
1. Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama. DIGITAL PREDISTORTION FOR MITIGATING TRANSMITTER-INDUCED RECEIVER DESENSITIZATION IN CARRIER AGGREGATION FDD TRANSCEIVERS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1347

A New Perspective on Randomized Gossip Algorithms


In this short note we propose a new approach for the design and analysis of randomized gossip algorithms which can be used to solve the average consensus problem. We show how the Randomized Block Kaczmarz (RBK) method—a method for solving linear systems—works as gossip algorithm when applied to a special system encoding the underlying network. The famous pairwise gossip algorithm arises as a special case.

Paper Details

Authors:
Nicolas Loizou, Peter Richtarik
Submitted On:
5 December 2016 - 8:10am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

PosterGlobalSip.pdf

(691)

Subscribe

[1] Nicolas Loizou, Peter Richtarik , "A New Perspective on Randomized Gossip Algorithms", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1345. Accessed: May. 25, 2019.
@article{1345-16,
url = {http://sigport.org/1345},
author = {Nicolas Loizou; Peter Richtarik },
publisher = {IEEE SigPort},
title = {A New Perspective on Randomized Gossip Algorithms},
year = {2016} }
TY - EJOUR
T1 - A New Perspective on Randomized Gossip Algorithms
AU - Nicolas Loizou; Peter Richtarik
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1345
ER -
Nicolas Loizou, Peter Richtarik . (2016). A New Perspective on Randomized Gossip Algorithms. IEEE SigPort. http://sigport.org/1345
Nicolas Loizou, Peter Richtarik , 2016. A New Perspective on Randomized Gossip Algorithms. Available at: http://sigport.org/1345.
Nicolas Loizou, Peter Richtarik . (2016). "A New Perspective on Randomized Gossip Algorithms." Web.
1. Nicolas Loizou, Peter Richtarik . A New Perspective on Randomized Gossip Algorithms [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1345

A New Perspective on Randomized Gossip Algorithms


In this short note we propose a new approach for the design and analysis of randomized gossip algorithms which can be used to solve the average consensus problem. We show how the Randomized Block Kaczmarz (RBK) method—a method for solving linear systems—works as gossip algorithm when applied to a special system encoding the underlying network. The famous pairwise gossip algorithm arises as a special case.

Paper Details

Authors:
Nicolas Loizou, Peter Richtarik
Submitted On:
5 December 2016 - 8:10am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

PosterGlobalSip.pdf

(691)

Subscribe

[1] Nicolas Loizou, Peter Richtarik , "A New Perspective on Randomized Gossip Algorithms", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1344. Accessed: May. 25, 2019.
@article{1344-16,
url = {http://sigport.org/1344},
author = {Nicolas Loizou; Peter Richtarik },
publisher = {IEEE SigPort},
title = {A New Perspective on Randomized Gossip Algorithms},
year = {2016} }
TY - EJOUR
T1 - A New Perspective on Randomized Gossip Algorithms
AU - Nicolas Loizou; Peter Richtarik
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1344
ER -
Nicolas Loizou, Peter Richtarik . (2016). A New Perspective on Randomized Gossip Algorithms. IEEE SigPort. http://sigport.org/1344
Nicolas Loizou, Peter Richtarik , 2016. A New Perspective on Randomized Gossip Algorithms. Available at: http://sigport.org/1344.
Nicolas Loizou, Peter Richtarik . (2016). "A New Perspective on Randomized Gossip Algorithms." Web.
1. Nicolas Loizou, Peter Richtarik . A New Perspective on Randomized Gossip Algorithms [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1344

A New Perspective on Randomized Gossip Algorithms


In this short note we propose a new approach for the design and analysis of randomized gossip algorithms which can be used to solve the average consensus problem. We show how the Randomized Block Kaczmarz (RBK) method—a method for solving linear systems—works as gossip algorithm when applied to a special system encoding the underlying network. The famous pairwise gossip algorithm arises as a special case.

Paper Details

Authors:
Nicolas Loizou, Peter Richtarik
Submitted On:
5 December 2016 - 8:10am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

PosterGlobalSip.pdf

(691)

Subscribe

[1] Nicolas Loizou, Peter Richtarik , "A New Perspective on Randomized Gossip Algorithms", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1343. Accessed: May. 25, 2019.
@article{1343-16,
url = {http://sigport.org/1343},
author = {Nicolas Loizou; Peter Richtarik },
publisher = {IEEE SigPort},
title = {A New Perspective on Randomized Gossip Algorithms},
year = {2016} }
TY - EJOUR
T1 - A New Perspective on Randomized Gossip Algorithms
AU - Nicolas Loizou; Peter Richtarik
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1343
ER -
Nicolas Loizou, Peter Richtarik . (2016). A New Perspective on Randomized Gossip Algorithms. IEEE SigPort. http://sigport.org/1343
Nicolas Loizou, Peter Richtarik , 2016. A New Perspective on Randomized Gossip Algorithms. Available at: http://sigport.org/1343.
Nicolas Loizou, Peter Richtarik . (2016). "A New Perspective on Randomized Gossip Algorithms." Web.
1. Nicolas Loizou, Peter Richtarik . A New Perspective on Randomized Gossip Algorithms [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1343

Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation


The construction of complementary sets of unimodular sequences of length N, with low correlation and complementary correlation coefficients is addressed. The design criterion is based on the minimisation of a cost function that penalizes the integrated side lobe as well as the sum of the complementary correlations of the sequences in the set. Numerical solution to the proposed cost function is obtained using conventional optimization methods.

Paper Details

Authors:
Israel Alejandro Arriaga-Trejo
Submitted On:
15 November 2016 - 4:35pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Poster_GlobalSIP2016_PaperID_1021

(349)

Subscribe

[1] Israel Alejandro Arriaga-Trejo, "Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1265. Accessed: May. 25, 2019.
@article{1265-16,
url = {http://sigport.org/1265},
author = {Israel Alejandro Arriaga-Trejo },
publisher = {IEEE SigPort},
title = {Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation },
year = {2016} }
TY - EJOUR
T1 - Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation
AU - Israel Alejandro Arriaga-Trejo
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1265
ER -
Israel Alejandro Arriaga-Trejo. (2016). Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation . IEEE SigPort. http://sigport.org/1265
Israel Alejandro Arriaga-Trejo, 2016. Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation . Available at: http://sigport.org/1265.
Israel Alejandro Arriaga-Trejo. (2016). "Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation ." Web.
1. Israel Alejandro Arriaga-Trejo. Construction of Complementary Sets of Sequences with Low Aperiodic Correlation and Complementary Correlation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1265

IEEE SP Cup 2016 Report - Team MGLS


Extracting the Electric Network Frequency (ENF) fluctuations from an audio recording and comparing it to a reference database is a new approach in performing forensic digital audio authentication. The problem statement of the IEEE SP cup 2016 competition relates to time-varying location-dependent signature of power grids as it becomes intrinsically captured in media recordings, due to direct or indirect influences from the respective power grid. In this project signal processing and information security/forensics are collectively elaborated.

Paper Details

Authors:
Dr. K. C. B. Wavegedara, Piyumika T. Bandula, W. A. K. Amalika Lahiruni, G. D. C. Nipuni B. Mello
Submitted On:
31 August 2016 - 12:02pm
Short Link:
Type:
Event:
Paper Code:
Document Year:
Cite

Document Files

MGLS_IEEESPCup2016_Report.pdf

(518)

Subscribe

[1] Dr. K. C. B. Wavegedara, Piyumika T. Bandula, W. A. K. Amalika Lahiruni, G. D. C. Nipuni B. Mello, "IEEE SP Cup 2016 Report - Team MGLS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1146. Accessed: May. 25, 2019.
@article{1146-16,
url = {http://sigport.org/1146},
author = {Dr. K. C. B. Wavegedara; Piyumika T. Bandula; W. A. K. Amalika Lahiruni; G. D. C. Nipuni B. Mello },
publisher = {IEEE SigPort},
title = {IEEE SP Cup 2016 Report - Team MGLS},
year = {2016} }
TY - EJOUR
T1 - IEEE SP Cup 2016 Report - Team MGLS
AU - Dr. K. C. B. Wavegedara; Piyumika T. Bandula; W. A. K. Amalika Lahiruni; G. D. C. Nipuni B. Mello
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1146
ER -
Dr. K. C. B. Wavegedara, Piyumika T. Bandula, W. A. K. Amalika Lahiruni, G. D. C. Nipuni B. Mello. (2016). IEEE SP Cup 2016 Report - Team MGLS. IEEE SigPort. http://sigport.org/1146
Dr. K. C. B. Wavegedara, Piyumika T. Bandula, W. A. K. Amalika Lahiruni, G. D. C. Nipuni B. Mello, 2016. IEEE SP Cup 2016 Report - Team MGLS. Available at: http://sigport.org/1146.
Dr. K. C. B. Wavegedara, Piyumika T. Bandula, W. A. K. Amalika Lahiruni, G. D. C. Nipuni B. Mello. (2016). "IEEE SP Cup 2016 Report - Team MGLS." Web.
1. Dr. K. C. B. Wavegedara, Piyumika T. Bandula, W. A. K. Amalika Lahiruni, G. D. C. Nipuni B. Mello. IEEE SP Cup 2016 Report - Team MGLS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1146

Graph Frequency Analysis of Brain Signals


This paper presents methods to analyze functional brain networks and signals from graph spectral perspectives. The notion of frequency and filters traditionally defined for signals supported on regular domains such as discrete time and image grids has been recently generalized to irregular graph domains, and defines brain graph frequencies associated with different levels of spatial smoothness across the brain regions. Brain network frequency also enables the decomposition of brain signals into pieces corresponding to smooth or rapid variations.

Paper Details

Authors:
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, and Alejandro Ribeiro
Submitted On:
19 July 2016 - 1:47pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

projectSummary_2016_IEEE.pdf

(496)

Subscribe

[1] Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, and Alejandro Ribeiro, "Graph Frequency Analysis of Brain Signals", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1134. Accessed: May. 25, 2019.
@article{1134-16,
url = {http://sigport.org/1134},
author = {Weiyu Huang; Leah Goldsberry; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; and Alejandro Ribeiro },
publisher = {IEEE SigPort},
title = {Graph Frequency Analysis of Brain Signals},
year = {2016} }
TY - EJOUR
T1 - Graph Frequency Analysis of Brain Signals
AU - Weiyu Huang; Leah Goldsberry; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; and Alejandro Ribeiro
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1134
ER -
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, and Alejandro Ribeiro. (2016). Graph Frequency Analysis of Brain Signals. IEEE SigPort. http://sigport.org/1134
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, and Alejandro Ribeiro, 2016. Graph Frequency Analysis of Brain Signals. Available at: http://sigport.org/1134.
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, and Alejandro Ribeiro. (2016). "Graph Frequency Analysis of Brain Signals." Web.
1. Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, and Alejandro Ribeiro. Graph Frequency Analysis of Brain Signals [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1134

Secure M-PSK Communication via Directional Modulation


In this work, a directional modulation-based technique is devised to enhance the security of a multi-antenna wireless communication system employing M-PSK modulation to convey information. The directional modulation method operates by steering the array beam in such a way that the phase of the received signal at the receiver matches that of the intended M-PSK symbol. Due to the difference between the channels of the legitimate receiver and the eavesdropper, the signals received by the eavesdropper generally encompass a phase component different than the actual symbols.

Paper Details

Authors:
Ashkan Kalantari, Mojtaba Soltanalian, Sina Maleki, Symeon Chatzinotas, and Bjorn Ottersten
Submitted On:
29 March 2016 - 1:30am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

direcitonal modulation-ICASSP.pptx

(114)

Subscribe

[1] Ashkan Kalantari, Mojtaba Soltanalian, Sina Maleki, Symeon Chatzinotas, and Bjorn Ottersten, "Secure M-PSK Communication via Directional Modulation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1061. Accessed: May. 25, 2019.
@article{1061-16,
url = {http://sigport.org/1061},
author = {Ashkan Kalantari; Mojtaba Soltanalian; Sina Maleki; Symeon Chatzinotas; and Bjorn Ottersten },
publisher = {IEEE SigPort},
title = {Secure M-PSK Communication via Directional Modulation},
year = {2016} }
TY - EJOUR
T1 - Secure M-PSK Communication via Directional Modulation
AU - Ashkan Kalantari; Mojtaba Soltanalian; Sina Maleki; Symeon Chatzinotas; and Bjorn Ottersten
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1061
ER -
Ashkan Kalantari, Mojtaba Soltanalian, Sina Maleki, Symeon Chatzinotas, and Bjorn Ottersten. (2016). Secure M-PSK Communication via Directional Modulation. IEEE SigPort. http://sigport.org/1061
Ashkan Kalantari, Mojtaba Soltanalian, Sina Maleki, Symeon Chatzinotas, and Bjorn Ottersten, 2016. Secure M-PSK Communication via Directional Modulation. Available at: http://sigport.org/1061.
Ashkan Kalantari, Mojtaba Soltanalian, Sina Maleki, Symeon Chatzinotas, and Bjorn Ottersten. (2016). "Secure M-PSK Communication via Directional Modulation." Web.
1. Ashkan Kalantari, Mojtaba Soltanalian, Sina Maleki, Symeon Chatzinotas, and Bjorn Ottersten. Secure M-PSK Communication via Directional Modulation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1061

Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver

Paper Details

Authors:
Vimal Radhakrishnan , Rodrigo C. de Lamare , Martin Haardt
Submitted On:
22 March 2016 - 2:35am
Short Link:
Type:
Event:
Document Year:
Cite

Document Files

icassp_2016_wlbce.pdf

(380)

Subscribe

[1] Vimal Radhakrishnan , Rodrigo C. de Lamare , Martin Haardt, "Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/955. Accessed: May. 25, 2019.
@article{955-16,
url = {http://sigport.org/955},
author = { Vimal Radhakrishnan ; Rodrigo C. de Lamare ; Martin Haardt },
publisher = {IEEE SigPort},
title = {Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver},
year = {2016} }
TY - EJOUR
T1 - Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver
AU - Vimal Radhakrishnan ; Rodrigo C. de Lamare ; Martin Haardt
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/955
ER -
Vimal Radhakrishnan , Rodrigo C. de Lamare , Martin Haardt. (2016). Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver. IEEE SigPort. http://sigport.org/955
Vimal Radhakrishnan , Rodrigo C. de Lamare , Martin Haardt, 2016. Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver. Available at: http://sigport.org/955.
Vimal Radhakrishnan , Rodrigo C. de Lamare , Martin Haardt. (2016). "Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver." Web.
1. Vimal Radhakrishnan , Rodrigo C. de Lamare , Martin Haardt. Subspace-based Adaptive Widely Linear Blind Channel Estimation for Constrained Minimum Variance CDMA Receiver [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/955

Pages