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Audio and Acoustic Signal Processing

SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS


In this paper, we propose a new emission strategy in the context of plane wave imaging. Plane wave imaging indeed implies compounding in order to preserve a good image quality. Such compounding is usually obtained using multiple, successive emissions, which in turn yields a decrease of the frame rate. As opposed to this approach, our method is based on the simultaneous emission of several coded plane waves. This allows the reconstruction of all the images corresponding to the different plane waves, by using an inverse problem approach.

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Authors:
Denis Bujoreanu, Denis Friboulet, Barbara Nicolas, Herve Liebgott
Submitted On:
9 March 2017 - 9:43am
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Bujoreanu_ICASSP_2017.zip

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[1] Denis Bujoreanu, Denis Friboulet, Barbara Nicolas, Herve Liebgott, "SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1719. Accessed: Oct. 19, 2017.
@article{1719-17,
url = {http://sigport.org/1719},
author = {Denis Bujoreanu; Denis Friboulet; Barbara Nicolas; Herve Liebgott },
publisher = {IEEE SigPort},
title = {SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS},
year = {2017} }
TY - EJOUR
T1 - SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS
AU - Denis Bujoreanu; Denis Friboulet; Barbara Nicolas; Herve Liebgott
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1719
ER -
Denis Bujoreanu, Denis Friboulet, Barbara Nicolas, Herve Liebgott. (2017). SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS. IEEE SigPort. http://sigport.org/1719
Denis Bujoreanu, Denis Friboulet, Barbara Nicolas, Herve Liebgott, 2017. SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS. Available at: http://sigport.org/1719.
Denis Bujoreanu, Denis Friboulet, Barbara Nicolas, Herve Liebgott. (2017). "SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS." Web.
1. Denis Bujoreanu, Denis Friboulet, Barbara Nicolas, Herve Liebgott. SIMULTANEOUS CODED PLANE WAVE IMAGING IN ULTRASOUND: PROBLEM FORMULATION AND CONSTRAINTS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1719

Sparse Eigenvectors of Graphs

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Authors:
Oguzhan Teke, P. P. Vaidyanathan
Submitted On:
7 March 2017 - 11:02am
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sparse_evec_icassp_presentation.pdf

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[1] Oguzhan Teke, P. P. Vaidyanathan, "Sparse Eigenvectors of Graphs", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1685. Accessed: Oct. 19, 2017.
@article{1685-17,
url = {http://sigport.org/1685},
author = {Oguzhan Teke; P. P. Vaidyanathan },
publisher = {IEEE SigPort},
title = {Sparse Eigenvectors of Graphs},
year = {2017} }
TY - EJOUR
T1 - Sparse Eigenvectors of Graphs
AU - Oguzhan Teke; P. P. Vaidyanathan
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1685
ER -
Oguzhan Teke, P. P. Vaidyanathan. (2017). Sparse Eigenvectors of Graphs. IEEE SigPort. http://sigport.org/1685
Oguzhan Teke, P. P. Vaidyanathan, 2017. Sparse Eigenvectors of Graphs. Available at: http://sigport.org/1685.
Oguzhan Teke, P. P. Vaidyanathan. (2017). "Sparse Eigenvectors of Graphs." Web.
1. Oguzhan Teke, P. P. Vaidyanathan. Sparse Eigenvectors of Graphs [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1685

SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION

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7 March 2017 - 2:03am
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hung_slides.pdf

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[1] , "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1680. Accessed: Oct. 19, 2017.
@article{1680-17,
url = {http://sigport.org/1680},
author = { },
publisher = {IEEE SigPort},
title = {SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION},
year = {2017} }
TY - EJOUR
T1 - SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1680
ER -
. (2017). SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. IEEE SigPort. http://sigport.org/1680
, 2017. SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. Available at: http://sigport.org/1680.
. (2017). "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION." Web.
1. . SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1680

SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION

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7 March 2017 - 2:03am
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hung_slides.pdf

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[1] , "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1679. Accessed: Oct. 19, 2017.
@article{1679-17,
url = {http://sigport.org/1679},
author = { },
publisher = {IEEE SigPort},
title = {SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION},
year = {2017} }
TY - EJOUR
T1 - SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1679
ER -
. (2017). SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. IEEE SigPort. http://sigport.org/1679
, 2017. SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. Available at: http://sigport.org/1679.
. (2017). "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION." Web.
1. . SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1679

SPARCOM

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Authors:
Oren Solomon, Maor Mutzafi, Yonina C. Eldar and Mordechai Segev
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11 March 2017 - 8:47pm
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ICASSP2017_SPARCOM_V2.pptx

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[1] Oren Solomon, Maor Mutzafi, Yonina C. Eldar and Mordechai Segev, "SPARCOM", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1672. Accessed: Oct. 19, 2017.
@article{1672-17,
url = {http://sigport.org/1672},
author = {Oren Solomon; Maor Mutzafi; Yonina C. Eldar and Mordechai Segev },
publisher = {IEEE SigPort},
title = {SPARCOM},
year = {2017} }
TY - EJOUR
T1 - SPARCOM
AU - Oren Solomon; Maor Mutzafi; Yonina C. Eldar and Mordechai Segev
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1672
ER -
Oren Solomon, Maor Mutzafi, Yonina C. Eldar and Mordechai Segev. (2017). SPARCOM. IEEE SigPort. http://sigport.org/1672
Oren Solomon, Maor Mutzafi, Yonina C. Eldar and Mordechai Segev, 2017. SPARCOM. Available at: http://sigport.org/1672.
Oren Solomon, Maor Mutzafi, Yonina C. Eldar and Mordechai Segev. (2017). "SPARCOM." Web.
1. Oren Solomon, Maor Mutzafi, Yonina C. Eldar and Mordechai Segev. SPARCOM [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1672

VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS

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Authors:
Chia Dai, Wei Dai, Shuhui Qu, Juncheng Li, Samarjit Das
Submitted On:
6 March 2017 - 3:41pm
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deep network

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[1] Chia Dai, Wei Dai, Shuhui Qu, Juncheng Li, Samarjit Das, "VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1662. Accessed: Oct. 19, 2017.
@article{1662-17,
url = {http://sigport.org/1662},
author = {Chia Dai; Wei Dai; Shuhui Qu; Juncheng Li; Samarjit Das },
publisher = {IEEE SigPort},
title = {VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS},
year = {2017} }
TY - EJOUR
T1 - VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS
AU - Chia Dai; Wei Dai; Shuhui Qu; Juncheng Li; Samarjit Das
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1662
ER -
Chia Dai, Wei Dai, Shuhui Qu, Juncheng Li, Samarjit Das. (2017). VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS. IEEE SigPort. http://sigport.org/1662
Chia Dai, Wei Dai, Shuhui Qu, Juncheng Li, Samarjit Das, 2017. VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS. Available at: http://sigport.org/1662.
Chia Dai, Wei Dai, Shuhui Qu, Juncheng Li, Samarjit Das. (2017). "VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS." Web.
1. Chia Dai, Wei Dai, Shuhui Qu, Juncheng Li, Samarjit Das. VERY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RAW WAVEFORMS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1662

Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density

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Authors:
Wenwu Wang, Yuxin Zhao
Submitted On:
6 March 2017 - 8:33am
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ICASSP -Yang.pdf

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[1] Wenwu Wang, Yuxin Zhao, "Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1648. Accessed: Oct. 19, 2017.
@article{1648-17,
url = {http://sigport.org/1648},
author = {Wenwu Wang; Yuxin Zhao },
publisher = {IEEE SigPort},
title = {Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density},
year = {2017} }
TY - EJOUR
T1 - Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density
AU - Wenwu Wang; Yuxin Zhao
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1648
ER -
Wenwu Wang, Yuxin Zhao. (2017). Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density. IEEE SigPort. http://sigport.org/1648
Wenwu Wang, Yuxin Zhao, 2017. Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density. Available at: http://sigport.org/1648.
Wenwu Wang, Yuxin Zhao. (2017). "Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density." Web.
1. Wenwu Wang, Yuxin Zhao. Particle Flow for Sequential Monte Carlo Implementation of Probability Hypothesis Density [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1648

Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions

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Authors:
Anastasios Alexandridis, Nikolaos Stefanakis, Athanasios Mouchtaris
Submitted On:
2 March 2017 - 3:35pm
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ICASSP2017_Presentation.pdf

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[1] Anastasios Alexandridis, Nikolaos Stefanakis, Athanasios Mouchtaris, "Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1594. Accessed: Oct. 19, 2017.
@article{1594-17,
url = {http://sigport.org/1594},
author = {Anastasios Alexandridis; Nikolaos Stefanakis; Athanasios Mouchtaris },
publisher = {IEEE SigPort},
title = {Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions},
year = {2017} }
TY - EJOUR
T1 - Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions
AU - Anastasios Alexandridis; Nikolaos Stefanakis; Athanasios Mouchtaris
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1594
ER -
Anastasios Alexandridis, Nikolaos Stefanakis, Athanasios Mouchtaris. (2017). Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions. IEEE SigPort. http://sigport.org/1594
Anastasios Alexandridis, Nikolaos Stefanakis, Athanasios Mouchtaris, 2017. Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions. Available at: http://sigport.org/1594.
Anastasios Alexandridis, Nikolaos Stefanakis, Athanasios Mouchtaris. (2017). "Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions." Web.
1. Anastasios Alexandridis, Nikolaos Stefanakis, Athanasios Mouchtaris. Towards Wireless Acoustic Sensor Networks for Location Estimation and Counting of Multiple Speakers in Real-life Conditions [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1594

FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION

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Submitted On:
2 March 2017 - 2:18pm
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ICASSP2017_poster.pdf

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[1] , "FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1593. Accessed: Oct. 19, 2017.
@article{1593-17,
url = {http://sigport.org/1593},
author = { },
publisher = {IEEE SigPort},
title = {FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION},
year = {2017} }
TY - EJOUR
T1 - FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1593
ER -
. (2017). FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION. IEEE SigPort. http://sigport.org/1593
, 2017. FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION. Available at: http://sigport.org/1593.
. (2017). "FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION." Web.
1. . FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1593

FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION

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Authors:
Submitted On:
2 March 2017 - 2:18pm
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ICASSP2017_poster.pdf

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[1] , " FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1592. Accessed: Oct. 19, 2017.
@article{1592-17,
url = {http://sigport.org/1592},
author = { },
publisher = {IEEE SigPort},
title = { FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION},
year = {2017} }
TY - EJOUR
T1 - FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1592
ER -
. (2017). FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION. IEEE SigPort. http://sigport.org/1592
, 2017. FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION. Available at: http://sigport.org/1592.
. (2017). " FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION." Web.
1. . FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1592

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