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Audio and Acoustic Signal Processing

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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[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: Jun. 06, 2020.
@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

A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging


In this paper, we consider two practical coded compressive imaging techniques. We investigate the optimal number of measurements under quadratic signal-to-noise-ratio (SNR) decrease. We focus on imaging scenarios in both real and complex vector spaces. In real vector spaces, we consider focal plane array (FPA) based super-resolution imaging with a constant measurement time constraint. Our model is comprised of a spatial light modulator and a low resolution FPA for modulating and sampling the incoming light intensity, respectively.

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Authors:
Oğuzhan Fatih Kar, Alper Güngör, Serhat Ilbey, Can Barış Top, H. Emre Güven
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23 November 2018 - 6:01am
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[1] Oğuzhan Fatih Kar, Alper Güngör, Serhat Ilbey, Can Barış Top, H. Emre Güven, "A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3741. Accessed: Jun. 06, 2020.
@article{3741-18,
url = {http://sigport.org/3741},
author = {Oğuzhan Fatih Kar; Alper Güngör; Serhat Ilbey; Can Barış Top; H. Emre Güven },
publisher = {IEEE SigPort},
title = {A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging},
year = {2018} }
TY - EJOUR
T1 - A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging
AU - Oğuzhan Fatih Kar; Alper Güngör; Serhat Ilbey; Can Barış Top; H. Emre Güven
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3741
ER -
Oğuzhan Fatih Kar, Alper Güngör, Serhat Ilbey, Can Barış Top, H. Emre Güven. (2018). A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging. IEEE SigPort. http://sigport.org/3741
Oğuzhan Fatih Kar, Alper Güngör, Serhat Ilbey, Can Barış Top, H. Emre Güven, 2018. A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging. Available at: http://sigport.org/3741.
Oğuzhan Fatih Kar, Alper Güngör, Serhat Ilbey, Can Barış Top, H. Emre Güven. (2018). "A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging." Web.
1. Oğuzhan Fatih Kar, Alper Güngör, Serhat Ilbey, Can Barış Top, H. Emre Güven. A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3741

SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING

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23 November 2018 - 5:38am
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[1] , "SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3740. Accessed: Jun. 06, 2020.
@article{3740-18,
url = {http://sigport.org/3740},
author = { },
publisher = {IEEE SigPort},
title = {SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING},
year = {2018} }
TY - EJOUR
T1 - SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3740
ER -
. (2018). SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING. IEEE SigPort. http://sigport.org/3740
, 2018. SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING. Available at: http://sigport.org/3740.
. (2018). "SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING." Web.
1. . SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3740

Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model


It is well known that the empirical mode decomposition algorithm does not always return an appropriate decomposition due to problems like mode mixing. In this paper, we consider the problem of a component being split across several intrinsic mode functions (IMFs). We propose the use of a hidden Markov model (HMM) to track the dominant component across the set of IMFs returned by EMD.

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Authors:
Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon
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26 November 2018 - 4:23pm
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[1] Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon, "Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3734. Accessed: Jun. 06, 2020.
@article{3734-18,
url = {http://sigport.org/3734},
author = {Steven Sandoval; Matthew Bredin; and Phillip L.~De Leon },
publisher = {IEEE SigPort},
title = {Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model},
year = {2018} }
TY - EJOUR
T1 - Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model
AU - Steven Sandoval; Matthew Bredin; and Phillip L.~De Leon
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3734
ER -
Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon. (2018). Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model. IEEE SigPort. http://sigport.org/3734
Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon, 2018. Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model. Available at: http://sigport.org/3734.
Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon. (2018). "Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model." Web.
1. Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon. Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3734

Rumour Source Detection in Social Networks using Partial Observations

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22 November 2018 - 9:30am
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[1] , "Rumour Source Detection in Social Networks using Partial Observations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3716. Accessed: Jun. 06, 2020.
@article{3716-18,
url = {http://sigport.org/3716},
author = { },
publisher = {IEEE SigPort},
title = {Rumour Source Detection in Social Networks using Partial Observations},
year = {2018} }
TY - EJOUR
T1 - Rumour Source Detection in Social Networks using Partial Observations
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3716
ER -
. (2018). Rumour Source Detection in Social Networks using Partial Observations. IEEE SigPort. http://sigport.org/3716
, 2018. Rumour Source Detection in Social Networks using Partial Observations. Available at: http://sigport.org/3716.
. (2018). "Rumour Source Detection in Social Networks using Partial Observations." Web.
1. . Rumour Source Detection in Social Networks using Partial Observations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3716

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

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27 March 2019 - 9:05am
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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/3700. Accessed: Jun. 06, 2020.
@article{3700-18,
url = {http://sigport.org/3700},
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/3700
ER -
. (2018). ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. IEEE SigPort. http://sigport.org/3700
, 2018. ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. Available at: http://sigport.org/3700.
. (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/3700

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.

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Authors:
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
Submitted On:
26 November 2018 - 2:17pm
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[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: Jun. 06, 2020.
@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
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Type:
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[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: Jun. 06, 2020.
@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
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[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: Jun. 06, 2020.
@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.

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Authors:
Yasitha Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis
Submitted On:
19 November 2018 - 3:29pm
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[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: Jun. 06, 2020.
@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

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