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DSP algorithm implementation in hardware and software

A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference

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Authors:
Rob A. Rutenbar
Submitted On:
7 March 2017 - 12:55pm
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[1] Rob A. Rutenbar, "A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1652. Accessed: Oct. 18, 2017.
@article{1652-17,
url = {http://sigport.org/1652},
author = {Rob A. Rutenbar },
publisher = {IEEE SigPort},
title = {A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference},
year = {2017} }
TY - EJOUR
T1 - A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference
AU - Rob A. Rutenbar
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1652
ER -
Rob A. Rutenbar. (2017). A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference. IEEE SigPort. http://sigport.org/1652
Rob A. Rutenbar, 2017. A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference. Available at: http://sigport.org/1652.
Rob A. Rutenbar. (2017). "A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference." Web.
1. Rob A. Rutenbar. A Case Study of Machine Learning Hardware: Real-Time Source Separation using Markov Random Fields via Sampling-based Inference [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1652

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. 18, 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. 18, 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.

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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. 18, 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. 18, 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

Multicore Implementation of LDPC Decoders based on ADMM Algorithm


Alternate direction method of multipliers (ADMM) technique has re- cently been proposed for LDPC decoding. Even though it improves the error rate performance compared with traditional message pass- ing (MP) techniques, it shows a higher computation complexity. In this article, the ADMM decoding algorithm is first described. Then, its computation complexity is analyzed. Finally, an optimized ver- sion which benefits from the multi-core processors architecture as well as the ADMM algorithm’s parallelism is presented.

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Authors:
Imen DEBBABI, Nadia KHOUJA, Fethi TLILI,
 Christophe JEGO2
Submitted On:
27 March 2016 - 9:46am
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2016-presentation-iccasp-admm.pdf

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[1] Imen DEBBABI, Nadia KHOUJA, Fethi TLILI,
 Christophe JEGO2, " Multicore Implementation of LDPC Decoders based on ADMM Algorithm", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1055. Accessed: Oct. 18, 2017.
@article{1055-16,
url = {http://sigport.org/1055},
author = {Imen DEBBABI; Nadia KHOUJA; Fethi TLILI;
 Christophe JEGO2 },
publisher = {IEEE SigPort},
title = { Multicore Implementation of LDPC Decoders based on ADMM Algorithm},
year = {2016} }
TY - EJOUR
T1 - Multicore Implementation of LDPC Decoders based on ADMM Algorithm
AU - Imen DEBBABI; Nadia KHOUJA; Fethi TLILI;
 Christophe JEGO2
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1055
ER -
Imen DEBBABI, Nadia KHOUJA, Fethi TLILI,
 Christophe JEGO2. (2016). Multicore Implementation of LDPC Decoders based on ADMM Algorithm. IEEE SigPort. http://sigport.org/1055
Imen DEBBABI, Nadia KHOUJA, Fethi TLILI,
 Christophe JEGO2, 2016. Multicore Implementation of LDPC Decoders based on ADMM Algorithm. Available at: http://sigport.org/1055.
Imen DEBBABI, Nadia KHOUJA, Fethi TLILI,
 Christophe JEGO2. (2016). " Multicore Implementation of LDPC Decoders based on ADMM Algorithm." Web.
1. Imen DEBBABI, Nadia KHOUJA, Fethi TLILI,
 Christophe JEGO2. Multicore Implementation of LDPC Decoders based on ADMM Algorithm [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1055

Accelerating Stochastic Computation for Binary Classification Applications

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Authors:
Lezhong Huang, Guanhui Chen, Peng Li, Weikang Qian
Submitted On:
22 March 2016 - 6:43am
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[1] Lezhong Huang, Guanhui Chen, Peng Li, Weikang Qian, "Accelerating Stochastic Computation for Binary Classification Applications", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/966. Accessed: Oct. 18, 2017.
@article{966-16,
url = {http://sigport.org/966},
author = {Lezhong Huang; Guanhui Chen; Peng Li; Weikang Qian },
publisher = {IEEE SigPort},
title = {Accelerating Stochastic Computation for Binary Classification Applications},
year = {2016} }
TY - EJOUR
T1 - Accelerating Stochastic Computation for Binary Classification Applications
AU - Lezhong Huang; Guanhui Chen; Peng Li; Weikang Qian
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/966
ER -
Lezhong Huang, Guanhui Chen, Peng Li, Weikang Qian. (2016). Accelerating Stochastic Computation for Binary Classification Applications. IEEE SigPort. http://sigport.org/966
Lezhong Huang, Guanhui Chen, Peng Li, Weikang Qian, 2016. Accelerating Stochastic Computation for Binary Classification Applications. Available at: http://sigport.org/966.
Lezhong Huang, Guanhui Chen, Peng Li, Weikang Qian. (2016). "Accelerating Stochastic Computation for Binary Classification Applications." Web.
1. Lezhong Huang, Guanhui Chen, Peng Li, Weikang Qian. Accelerating Stochastic Computation for Binary Classification Applications [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/966

A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines


A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines

Runtime-reconfigurable, mixed-radix FFT/IFFT engines are essential for modern wireless communication systems. To comply with varying standards requirements, these engines are customized for each modem. The Chisel hardware construction language has been used in this work to create a generator of runtime-reconfigurable 2n3m5k(7l...) FFT engines targeting software-defined radios (SDR) for modern communications, but with flexibility to support a wide range of applications.

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Authors:
Angie Wang, Jonathan Bachrach, Borivoje Nikolić
Submitted On:
24 March 2016 - 1:53pm
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LATEST - Poster ICASSP March 2016 (copyright sanitized).pdf

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[1] Angie Wang, Jonathan Bachrach, Borivoje Nikolić, "A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/925. Accessed: Oct. 18, 2017.
@article{925-16,
url = {http://sigport.org/925},
author = {Angie Wang; Jonathan Bachrach; Borivoje Nikolić },
publisher = {IEEE SigPort},
title = {A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines},
year = {2016} }
TY - EJOUR
T1 - A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines
AU - Angie Wang; Jonathan Bachrach; Borivoje Nikolić
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/925
ER -
Angie Wang, Jonathan Bachrach, Borivoje Nikolić. (2016). A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines. IEEE SigPort. http://sigport.org/925
Angie Wang, Jonathan Bachrach, Borivoje Nikolić, 2016. A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines. Available at: http://sigport.org/925.
Angie Wang, Jonathan Bachrach, Borivoje Nikolić. (2016). "A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines." Web.
1. Angie Wang, Jonathan Bachrach, Borivoje Nikolić. A Generator of Memory-Based, Runtime-Reconfigurable 2n3m5k FFT Engines [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/925

Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications


icassp.pdf

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Authors:
Teng Xu, Miodrag Potkonjak
Submitted On:
20 March 2016 - 7:19am
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[1] Teng Xu, Miodrag Potkonjak, "Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/869. Accessed: Oct. 18, 2017.
@article{869-16,
url = {http://sigport.org/869},
author = {Teng Xu; Miodrag Potkonjak },
publisher = {IEEE SigPort},
title = {Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications},
year = {2016} }
TY - EJOUR
T1 - Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications
AU - Teng Xu; Miodrag Potkonjak
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/869
ER -
Teng Xu, Miodrag Potkonjak. (2016). Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications. IEEE SigPort. http://sigport.org/869
Teng Xu, Miodrag Potkonjak, 2016. Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications. Available at: http://sigport.org/869.
Teng Xu, Miodrag Potkonjak. (2016). "Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications." Web.
1. Teng Xu, Miodrag Potkonjak. Retiming and Dual-supply Voltage Based Energy Optimization for DSP Applications [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/869

Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes


Polar coding is a new coding scheme that asymptotically achieves the capacity of several communication channels. Polar codes can be decoded with a successive cancellation (SC) decoder. In terms of hardware implementation, archi- tectural performance of SC decoders is limited by the memory complexity. In this paper, two complementary methods are proposed to reduce the memory footprint of current state-of- the-art SC decoders. These methods must also applicable to SC-List decoders.

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Authors:
Camille LEROUX and Christophe JEGO
Submitted On:
19 March 2016 - 8:05am
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2016-poster-iccasp-polar-codes.pdf

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[1] Camille LEROUX and Christophe JEGO, "Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/804. Accessed: Oct. 18, 2017.
@article{804-16,
url = {http://sigport.org/804},
author = {Camille LEROUX and Christophe JEGO },
publisher = {IEEE SigPort},
title = {Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes},
year = {2016} }
TY - EJOUR
T1 - Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes
AU - Camille LEROUX and Christophe JEGO
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/804
ER -
Camille LEROUX and Christophe JEGO. (2016). Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes. IEEE SigPort. http://sigport.org/804
Camille LEROUX and Christophe JEGO, 2016. Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes. Available at: http://sigport.org/804.
Camille LEROUX and Christophe JEGO. (2016). "Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes." Web.
1. Camille LEROUX and Christophe JEGO. Memory Reduction Techniques for Successive Cancellation Decoding of Polar Codes [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/804

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