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DSP algorithm implementation in hardware and software

LoRa digital receiver analysis and implementation

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Authors:
Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg
Submitted On:
13 May 2019 - 1:47pm
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[1] Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg, "LoRa digital receiver analysis and implementation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4490. Accessed: Jul. 17, 2019.
@article{4490-19,
url = {http://sigport.org/4490},
author = {Reza Ghanaatian; Orion Afisiadis; Matthieu Cotting; Andreas Burg },
publisher = {IEEE SigPort},
title = {LoRa digital receiver analysis and implementation},
year = {2019} }
TY - EJOUR
T1 - LoRa digital receiver analysis and implementation
AU - Reza Ghanaatian; Orion Afisiadis; Matthieu Cotting; Andreas Burg
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4490
ER -
Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg. (2019). LoRa digital receiver analysis and implementation. IEEE SigPort. http://sigport.org/4490
Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg, 2019. LoRa digital receiver analysis and implementation. Available at: http://sigport.org/4490.
Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg. (2019). "LoRa digital receiver analysis and implementation." Web.
1. Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg. LoRa digital receiver analysis and implementation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4490

ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS


The conversion of an algorithm to fixed-point arithmetic is commonly achieved with a large and fixed-number of simulations. Nevertheless, when simulating a fixed and ar- bitrary large number of samples, no confidence information is given on the characterization, and this method is often time-inefficient. To overcome this limitation, we propose a new method for noise evaluation. The error induced by fixed-point coding is statistically characterized to compute the noise power with an adaptive and reduced number of simulations.

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Authors:
Justine Bonnot, Karol Desnos, Daniel Menard,
Submitted On:
9 May 2019 - 4:10pm
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[1] Justine Bonnot, Karol Desnos, Daniel Menard,, "ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4235. Accessed: Jul. 17, 2019.
@article{4235-19,
url = {http://sigport.org/4235},
author = {Justine Bonnot; Karol Desnos; Daniel Menard; },
publisher = {IEEE SigPort},
title = {ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS},
year = {2019} }
TY - EJOUR
T1 - ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS
AU - Justine Bonnot; Karol Desnos; Daniel Menard;
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4235
ER -
Justine Bonnot, Karol Desnos, Daniel Menard,. (2019). ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS. IEEE SigPort. http://sigport.org/4235
Justine Bonnot, Karol Desnos, Daniel Menard,, 2019. ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS. Available at: http://sigport.org/4235.
Justine Bonnot, Karol Desnos, Daniel Menard,. (2019). "ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS." Web.
1. Justine Bonnot, Karol Desnos, Daniel Menard,. ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4235

The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis


Inertial navigation allows tracking and updating the position and orientation of a moving object based on accelerometer and gyroscope data without external positioning aid, such as GPS. Therefore, inertial navigation is an essential technique for, e.g., indoor positioning. As inertial navigation is based on integration of acceleration vector components, computation errors accumulate and make the position and orientation estimate drift.

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Authors:
Alexandre Meirhaeghe, Jussi Collin
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9 May 2019 - 4:48am
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[1] Alexandre Meirhaeghe, Jussi Collin, "The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4172. Accessed: Jul. 17, 2019.
@article{4172-19,
url = {http://sigport.org/4172},
author = {Alexandre Meirhaeghe; Jussi Collin },
publisher = {IEEE SigPort},
title = {The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis},
year = {2019} }
TY - EJOUR
T1 - The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis
AU - Alexandre Meirhaeghe; Jussi Collin
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4172
ER -
Alexandre Meirhaeghe, Jussi Collin. (2019). The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis. IEEE SigPort. http://sigport.org/4172
Alexandre Meirhaeghe, Jussi Collin, 2019. The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis. Available at: http://sigport.org/4172.
Alexandre Meirhaeghe, Jussi Collin. (2019). "The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis." Web.
1. Alexandre Meirhaeghe, Jussi Collin. The Direction Cosine Matrix Algorithm in Fixed-Point: Implementation and Analysis [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4172

PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO


Augmented Reality (AR) audio applications require headphones to be acoustically transparent so that real sounds can pass through unaltered for natural fusion with virtual sounds. In this paper, we consider a multiple source scenario for hear through (HT) equalization (EQ) using closed-back circumaural headsets. AR headset prototype (described in our previous study) is used to capture real sounds from external microphones and compute the directional HT filters using adaptive filtering.

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Authors:
Rishabh Gupta, Rishabh Ranjan, Jianjun He and Woon Seng Gan
Submitted On:
8 May 2019 - 6:02am
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https://ieeexplore.ieee.org/document/8683657

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[1] Rishabh Gupta, Rishabh Ranjan, Jianjun He and Woon Seng Gan, "PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4061. Accessed: Jul. 17, 2019.
@article{4061-19,
url = {http://sigport.org/4061},
author = {Rishabh Gupta; Rishabh Ranjan; Jianjun He and Woon Seng Gan },
publisher = {IEEE SigPort},
title = {PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO},
year = {2019} }
TY - EJOUR
T1 - PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO
AU - Rishabh Gupta; Rishabh Ranjan; Jianjun He and Woon Seng Gan
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4061
ER -
Rishabh Gupta, Rishabh Ranjan, Jianjun He and Woon Seng Gan. (2019). PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO. IEEE SigPort. http://sigport.org/4061
Rishabh Gupta, Rishabh Ranjan, Jianjun He and Woon Seng Gan, 2019. PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO. Available at: http://sigport.org/4061.
Rishabh Gupta, Rishabh Ranjan, Jianjun He and Woon Seng Gan. (2019). "PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO." Web.
1. Rishabh Gupta, Rishabh Ranjan, Jianjun He and Woon Seng Gan. PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4061

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
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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: Jul. 17, 2019.
@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
Submitted On:
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: Jul. 17, 2019.
@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: Jul. 17, 2019.
@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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[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: Jul. 17, 2019.
@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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[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: Jul. 17, 2019.
@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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[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: Jul. 17, 2019.
@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

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