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SPM Student Design Project Series

CALL FOR STUDENT PROJECT INFORMATIONIEEE Signal Processing Magazine (SPM) invites global signal processing community’s input on recent engineering design projects with significant relevance to signal and information processing.Why?  Challenges in providing high quality engineering training is compounded of the fast pace of advancement in technology, the required theoretical background, and the increasing multidisciplinary applications. Engineering design projects has been an essential part of undergraduate engineering education worldwide, and they take on various forms at different institutions. Signal and information processing plays an important role in many of these engineering projects, from sensing to enhancement to signal/data analytics to archiving and transmission.  A new article series being developed by the guest editor team for IEEE Signal Processing Magazine seeks to provide a platform to share experiences and best practices on undergraduate design project trainings that incorporate a strong element of signal and information processing.

Automatic Lyrics Display System for Live Music Performances


Live musical performances (e.g., choruses, concerts, and operas) often require the display of lyrics for the convenience of the audience. This requires following the performance and controlling the lyrics display in real time. In practice, this is usually controlled by a staff member of the concert who has been very familiar with the performance. In this paper, we present our effort in implementing a computational system to automate this real-time lyric display process using music following techniques.

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Authors:
Karan Vombatkere, Bochen Li
Submitted On:
31 July 2016 - 3:58pm
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VombatkereLi_AutomaticLyricsDisplaySystem_IEEESPM16_Final.pdf

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[1] Karan Vombatkere, Bochen Li, "Automatic Lyrics Display System for Live Music Performances", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1141. Accessed: Oct. 22, 2017.
@article{1141-16,
url = {http://sigport.org/1141},
author = {Karan Vombatkere; Bochen Li },
publisher = {IEEE SigPort},
title = {Automatic Lyrics Display System for Live Music Performances},
year = {2016} }
TY - EJOUR
T1 - Automatic Lyrics Display System for Live Music Performances
AU - Karan Vombatkere; Bochen Li
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1141
ER -
Karan Vombatkere, Bochen Li. (2016). Automatic Lyrics Display System for Live Music Performances. IEEE SigPort. http://sigport.org/1141
Karan Vombatkere, Bochen Li, 2016. Automatic Lyrics Display System for Live Music Performances. Available at: http://sigport.org/1141.
Karan Vombatkere, Bochen Li. (2016). "Automatic Lyrics Display System for Live Music Performances." Web.
1. Karan Vombatkere, Bochen Li. Automatic Lyrics Display System for Live Music Performances [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1141

Acoustic detection and localization of impulsive events in urban environments

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Authors:
Momin Uppal, Sabeeh Irfan Ahmad, Hassan Shahbaz, Hassam Noor
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31 July 2016 - 2:03pm
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[1] Momin Uppal, Sabeeh Irfan Ahmad, Hassan Shahbaz, Hassam Noor, "Acoustic detection and localization of impulsive events in urban environments", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1140. Accessed: Oct. 22, 2017.
@article{1140-16,
url = {http://sigport.org/1140},
author = {Momin Uppal; Sabeeh Irfan Ahmad; Hassan Shahbaz; Hassam Noor },
publisher = {IEEE SigPort},
title = {Acoustic detection and localization of impulsive events in urban environments},
year = {2016} }
TY - EJOUR
T1 - Acoustic detection and localization of impulsive events in urban environments
AU - Momin Uppal; Sabeeh Irfan Ahmad; Hassan Shahbaz; Hassam Noor
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1140
ER -
Momin Uppal, Sabeeh Irfan Ahmad, Hassan Shahbaz, Hassam Noor. (2016). Acoustic detection and localization of impulsive events in urban environments. IEEE SigPort. http://sigport.org/1140
Momin Uppal, Sabeeh Irfan Ahmad, Hassan Shahbaz, Hassam Noor, 2016. Acoustic detection and localization of impulsive events in urban environments. Available at: http://sigport.org/1140.
Momin Uppal, Sabeeh Irfan Ahmad, Hassan Shahbaz, Hassam Noor. (2016). "Acoustic detection and localization of impulsive events in urban environments." Web.
1. Momin Uppal, Sabeeh Irfan Ahmad, Hassan Shahbaz, Hassam Noor. Acoustic detection and localization of impulsive events in urban environments [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1140

Micro hand gesture recognition system using ultrasonic active sensing method


We define micro hand gesture recognition system as which uses micro dynamic hand gestures within a time interval for classification and recognition to achieve human-machine interaction. Our Project Hug (Hand-Ultrasonic-Gesture), with ultrasonic active sensing, pulsed radar signal processing, and time-sequence pattern recognition is presented in this paper for micro hand gesture recognition. We leverage one single channel to detect both range and velocity precisely, reducing the hardware complexity.

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Authors:
Quan Wang, Yimin Liu
Submitted On:
31 July 2016 - 1:24pm
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[1] Quan Wang, Yimin Liu, "Micro hand gesture recognition system using ultrasonic active sensing method", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1139. Accessed: Oct. 22, 2017.
@article{1139-16,
url = {http://sigport.org/1139},
author = {Quan Wang; Yimin Liu },
publisher = {IEEE SigPort},
title = {Micro hand gesture recognition system using ultrasonic active sensing method},
year = {2016} }
TY - EJOUR
T1 - Micro hand gesture recognition system using ultrasonic active sensing method
AU - Quan Wang; Yimin Liu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1139
ER -
Quan Wang, Yimin Liu. (2016). Micro hand gesture recognition system using ultrasonic active sensing method. IEEE SigPort. http://sigport.org/1139
Quan Wang, Yimin Liu, 2016. Micro hand gesture recognition system using ultrasonic active sensing method. Available at: http://sigport.org/1139.
Quan Wang, Yimin Liu. (2016). "Micro hand gesture recognition system using ultrasonic active sensing method." Web.
1. Quan Wang, Yimin Liu. Micro hand gesture recognition system using ultrasonic active sensing method [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1139

Real Time Control of Hand Prosthesis Using EMG


Current solutions for below the elbow amputees include affordable prosthesis allowing only a single movement or highly expensive prosthesis allowing several gestures. In this project, our goal was to design a system that provides an inexpensive, multi-functional solution for the hand prosthesis problem. We construct a real-time, portable system based on the Myo armband and a 3D printed prosthesis and show that this framework can provide a good and inexpensive solution for below the elbow amputees of all ages.

Paper Details

Authors:
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein
Submitted On:
28 July 2016 - 7:57am
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ProstheticHand_Project_Summary.pdf

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[1] Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein, "Real Time Control of Hand Prosthesis Using EMG", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1138. Accessed: Oct. 22, 2017.
@article{1138-16,
url = {http://sigport.org/1138},
author = {Or Dicker; Aviv Peleg; Tal Shnitzer; Oscar Lichtenstein },
publisher = {IEEE SigPort},
title = {Real Time Control of Hand Prosthesis Using EMG},
year = {2016} }
TY - EJOUR
T1 - Real Time Control of Hand Prosthesis Using EMG
AU - Or Dicker; Aviv Peleg; Tal Shnitzer; Oscar Lichtenstein
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1138
ER -
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein. (2016). Real Time Control of Hand Prosthesis Using EMG. IEEE SigPort. http://sigport.org/1138
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein, 2016. Real Time Control of Hand Prosthesis Using EMG. Available at: http://sigport.org/1138.
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein. (2016). "Real Time Control of Hand Prosthesis Using EMG." Web.
1. Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein. Real Time Control of Hand Prosthesis Using EMG [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1138

Real Time Control of Hand Prosthesis Using EMG


Current solutions for below the elbow amputees include affordable prosthesis allowing only a single movement or highly expensive prosthesis allowing several gestures. In this project, our goal was to design a system that provides an inexpensive, multi-functional solution for the hand prosthesis problem. We construct a real-time, portable system based on the Myo armband and a 3D printed prosthesis and show that this framework can provide a good and inexpensive solution for below the elbow amputees of all ages.

Paper Details

Authors:
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein
Submitted On:
28 July 2016 - 7:57am
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ProstheticHand_Project_Summary.pdf

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[1] Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein, "Real Time Control of Hand Prosthesis Using EMG", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1137. Accessed: Oct. 22, 2017.
@article{1137-16,
url = {http://sigport.org/1137},
author = {Or Dicker; Aviv Peleg; Tal Shnitzer; Oscar Lichtenstein },
publisher = {IEEE SigPort},
title = {Real Time Control of Hand Prosthesis Using EMG},
year = {2016} }
TY - EJOUR
T1 - Real Time Control of Hand Prosthesis Using EMG
AU - Or Dicker; Aviv Peleg; Tal Shnitzer; Oscar Lichtenstein
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1137
ER -
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein. (2016). Real Time Control of Hand Prosthesis Using EMG. IEEE SigPort. http://sigport.org/1137
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein, 2016. Real Time Control of Hand Prosthesis Using EMG. Available at: http://sigport.org/1137.
Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein. (2016). "Real Time Control of Hand Prosthesis Using EMG." Web.
1. Or Dicker, Aviv Peleg, Tal Shnitzer, Oscar Lichtenstein. Real Time Control of Hand Prosthesis Using EMG [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1137

DIY Sky Imager For Weather Observation


In this tutorial, we describe how to design a Whole Sky Imager from off-the-shelf components. Subsequently, we use signal processing techniques to derive instantaneous cloud coverage value from the captured images.

Paper Details

Authors:
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler
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27 July 2016 - 11:36pm
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DIY Sky Imager Project.pdf

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[1] Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler, "DIY Sky Imager For Weather Observation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1136. Accessed: Oct. 22, 2017.
@article{1136-16,
url = {http://sigport.org/1136},
author = {Soumyabrata Dev; Florian M. Savoy; Yee Hui Lee; Stefan Winkler },
publisher = {IEEE SigPort},
title = {DIY Sky Imager For Weather Observation},
year = {2016} }
TY - EJOUR
T1 - DIY Sky Imager For Weather Observation
AU - Soumyabrata Dev; Florian M. Savoy; Yee Hui Lee; Stefan Winkler
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1136
ER -
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler. (2016). DIY Sky Imager For Weather Observation. IEEE SigPort. http://sigport.org/1136
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler, 2016. DIY Sky Imager For Weather Observation. Available at: http://sigport.org/1136.
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler. (2016). "DIY Sky Imager For Weather Observation." Web.
1. Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler. DIY Sky Imager For Weather Observation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1136

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.

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Authors:
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, and Alejandro Ribeiro
Submitted On:
19 July 2016 - 1:47pm
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projectSummary_2016_IEEE.pdf

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[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: Oct. 22, 2017.
@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

Estimation of Spatial Fields from Samples obtained at Unknown Random Locations


Sampling and estimation of spatial fields using sensors which are location unaware is an exciting
topic. Here we study this topic under the assumption that the sensors are deployed according
to a known probability distribution, under different scenarios.
The initial part of this work studies detection of bandlimited fields from location-unaware
sensors that are restricted to a discrete grid. Oversampling is used to overcome the lack of
location information. The samples obtained from location-unaware sensors are clustered together

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Authors:
Ankur Mallick, Animesh Kumar
Submitted On:
3 July 2016 - 11:11am
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[1] Ankur Mallick, Animesh Kumar, "Estimation of Spatial Fields from Samples obtained at Unknown Random Locations", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1131. Accessed: Oct. 22, 2017.
@article{1131-16,
url = {http://sigport.org/1131},
author = {Ankur Mallick; Animesh Kumar },
publisher = {IEEE SigPort},
title = {Estimation of Spatial Fields from Samples obtained at Unknown Random Locations},
year = {2016} }
TY - EJOUR
T1 - Estimation of Spatial Fields from Samples obtained at Unknown Random Locations
AU - Ankur Mallick; Animesh Kumar
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1131
ER -
Ankur Mallick, Animesh Kumar. (2016). Estimation of Spatial Fields from Samples obtained at Unknown Random Locations. IEEE SigPort. http://sigport.org/1131
Ankur Mallick, Animesh Kumar, 2016. Estimation of Spatial Fields from Samples obtained at Unknown Random Locations. Available at: http://sigport.org/1131.
Ankur Mallick, Animesh Kumar. (2016). "Estimation of Spatial Fields from Samples obtained at Unknown Random Locations." Web.
1. Ankur Mallick, Animesh Kumar. Estimation of Spatial Fields from Samples obtained at Unknown Random Locations [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1131

A HIGH PERFORMANCE BASEBAND INSTRUMENT


Testing complex digital signal processors (DSPs) requires a development platform with sufficient
signal bandwidth and system performance to fully exercise the DSP. Without a development plat-
form, verification of DSPs would be limited to monitoring test output signals for an indication of
performance and successful operation. In addition, a development platform with high-speed analog
input and output interfaces to the DSP system allows it to be used directly in many sophisticated

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Authors:
Jeremy Webb, Bevan Baas
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30 June 2016 - 2:14am
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[1] Jeremy Webb, Bevan Baas, "A HIGH PERFORMANCE BASEBAND INSTRUMENT", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1130. Accessed: Oct. 22, 2017.
@article{1130-16,
url = {http://sigport.org/1130},
author = {Jeremy Webb; Bevan Baas },
publisher = {IEEE SigPort},
title = {A HIGH PERFORMANCE BASEBAND INSTRUMENT},
year = {2016} }
TY - EJOUR
T1 - A HIGH PERFORMANCE BASEBAND INSTRUMENT
AU - Jeremy Webb; Bevan Baas
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1130
ER -
Jeremy Webb, Bevan Baas. (2016). A HIGH PERFORMANCE BASEBAND INSTRUMENT. IEEE SigPort. http://sigport.org/1130
Jeremy Webb, Bevan Baas, 2016. A HIGH PERFORMANCE BASEBAND INSTRUMENT. Available at: http://sigport.org/1130.
Jeremy Webb, Bevan Baas. (2016). "A HIGH PERFORMANCE BASEBAND INSTRUMENT." Web.
1. Jeremy Webb, Bevan Baas. A HIGH PERFORMANCE BASEBAND INSTRUMENT [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1130

Self-Sustainable OFDM Transmissions with Smooth Energy Delivery


Transmitting energy and information simultaneously using orthogonal frequency-division multiplexing (OFDM) to obtain receiver energy self-sufficiency has recently been proposed.To obtain smooth energy delivery, this project analyzes a new architecture for self-sustainable OFDM transmissions that reduces the peak-to-average power ratio (PAPR) in the cyclic prefix through a frame-theoretic operation that modifies the erasure pattern selection technique.

ofdm.pdf

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Authors:
Chien Sheng Yang, Lav Varshney
Submitted On:
29 June 2016 - 11:20am
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[1] Chien Sheng Yang, Lav Varshney, "Self-Sustainable OFDM Transmissions with Smooth Energy Delivery", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1129. Accessed: Oct. 22, 2017.
@article{1129-16,
url = {http://sigport.org/1129},
author = {Chien Sheng Yang; Lav Varshney },
publisher = {IEEE SigPort},
title = {Self-Sustainable OFDM Transmissions with Smooth Energy Delivery},
year = {2016} }
TY - EJOUR
T1 - Self-Sustainable OFDM Transmissions with Smooth Energy Delivery
AU - Chien Sheng Yang; Lav Varshney
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1129
ER -
Chien Sheng Yang, Lav Varshney. (2016). Self-Sustainable OFDM Transmissions with Smooth Energy Delivery. IEEE SigPort. http://sigport.org/1129
Chien Sheng Yang, Lav Varshney, 2016. Self-Sustainable OFDM Transmissions with Smooth Energy Delivery. Available at: http://sigport.org/1129.
Chien Sheng Yang, Lav Varshney. (2016). "Self-Sustainable OFDM Transmissions with Smooth Energy Delivery." Web.
1. Chien Sheng Yang, Lav Varshney. Self-Sustainable OFDM Transmissions with Smooth Energy Delivery [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1129