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Audio and Acoustic Signal Processing

UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION


Unsupervised feature selection has been proven to be an efficient technique in mitigating the curse of dimensionality. It helps to understand and analyze the prevalent high-dimensional unlabeled data. Recently, based on the self-similarity property of objects, self-representation which assumes that a feature can be represented by the linear combination of its relevant features has been successfully used in unsupervised feature selection. In this paper, we propose a novel algorithm termed Manifold Regularized Selfrepresentation(MRSR) based on the self-representation ability of features.

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Authors:
Siqi Liang, Pengfei Zhu, Qinghua Hu, Chongqing Zhang
Submitted On:
13 September 2017 - 12:13am
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MRSR_ICIP_1266

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[1] Siqi Liang, Pengfei Zhu, Qinghua Hu, Chongqing Zhang, "UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1958. Accessed: Sep. 25, 2017.
@article{1958-17,
url = {http://sigport.org/1958},
author = {Siqi Liang; Pengfei Zhu; Qinghua Hu; Chongqing Zhang },
publisher = {IEEE SigPort},
title = {UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION},
year = {2017} }
TY - EJOUR
T1 - UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION
AU - Siqi Liang; Pengfei Zhu; Qinghua Hu; Chongqing Zhang
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1958
ER -
Siqi Liang, Pengfei Zhu, Qinghua Hu, Chongqing Zhang. (2017). UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION. IEEE SigPort. http://sigport.org/1958
Siqi Liang, Pengfei Zhu, Qinghua Hu, Chongqing Zhang, 2017. UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION. Available at: http://sigport.org/1958.
Siqi Liang, Pengfei Zhu, Qinghua Hu, Chongqing Zhang. (2017). "UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION." Web.
1. Siqi Liang, Pengfei Zhu, Qinghua Hu, Chongqing Zhang. UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1958

V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER)


A major drawback of JPEG 2000 is the computational complexity of its entropy coder named Embedded Block Coder with Optimized Truncation (EBCOT). This paper proposes two alterations to the original algorithm that seek to improve the trade-off between compression efficiency and throughput. Firstly, magnitude bits within a bit plane are not prioritized by their significance anymore, but instead coded in a single pass instead of three, reducing the amount of expensive memory accesses at the cost of fewer truncation points.

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Authors:
Volker Bruns, Miguel Á. Martínez-del-Amor, Heiko Sparenberg
Submitted On:
12 September 2017 - 5:00am
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V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER).pdf

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[1] Volker Bruns, Miguel Á. Martínez-del-Amor, Heiko Sparenberg, "V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER)", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1930. Accessed: Sep. 25, 2017.
@article{1930-17,
url = {http://sigport.org/1930},
author = {Volker Bruns; Miguel Á. Martínez-del-Amor; Heiko Sparenberg },
publisher = {IEEE SigPort},
title = {V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER)},
year = {2017} }
TY - EJOUR
T1 - V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER)
AU - Volker Bruns; Miguel Á. Martínez-del-Amor; Heiko Sparenberg
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1930
ER -
Volker Bruns, Miguel Á. Martínez-del-Amor, Heiko Sparenberg. (2017). V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER). IEEE SigPort. http://sigport.org/1930
Volker Bruns, Miguel Á. Martínez-del-Amor, Heiko Sparenberg, 2017. V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER). Available at: http://sigport.org/1930.
Volker Bruns, Miguel Á. Martínez-del-Amor, Heiko Sparenberg. (2017). "V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER)." Web.
1. Volker Bruns, Miguel Á. Martínez-del-Amor, Heiko Sparenberg. V. Bruns, M.A. Martinez-del-Amor, H. Sparenberg - GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding (POSTER) [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1930

Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves


We present an image-based approach to generate truly random numbers from the surface of water bodies such as oceanic bays. As a natural phenomenon, wind-generated gravity waves have non-deterministic behavior. We use the randomness of the angular relation between pairs of estimated surface normals to generate uniformly distributed random binary digits and build random numbers from those digits. Our approach produces compelling geometric models of water surfaces and generates random numbers with high entropy.

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Authors:
Gustavo Marques Netto
Submitted On:
4 September 2017 - 9:12pm
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Poster

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[1] Gustavo Marques Netto, "Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1828. Accessed: Sep. 25, 2017.
@article{1828-17,
url = {http://sigport.org/1828},
author = {Gustavo Marques Netto },
publisher = {IEEE SigPort},
title = {Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves},
year = {2017} }
TY - EJOUR
T1 - Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves
AU - Gustavo Marques Netto
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1828
ER -
Gustavo Marques Netto. (2017). Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves. IEEE SigPort. http://sigport.org/1828
Gustavo Marques Netto, 2017. Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves. Available at: http://sigport.org/1828.
Gustavo Marques Netto. (2017). "Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves." Web.
1. Gustavo Marques Netto. Water Surface Reconstruction and Truly Random Numbers Generation From Images of Wind-Generated Gravity Waves [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1828

SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION


In this paper we focus on the usefulness of verbal events for speech based emotion recognition. In particular, the use of phoneme sequences to encode verbal cues related to the expression of emotions is proposed and lexical features based on these phoneme sequences are introduced for use in automatic emotion recognition systems where manual transcripts are not available. Secondly, a novel estimate of emotional salience of verbal cues, applicable to both phoneme sequences and words, is presented.

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Authors:
Kalani Wataraka Gamage, Vidhyasaharan Sethu, Eliathamby Ambikairajah
Submitted On:
3 August 2017 - 3:55am
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http://ieeexplore.ieee.org/document/7953274/

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[1] Kalani Wataraka Gamage, Vidhyasaharan Sethu, Eliathamby Ambikairajah, "SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1800. Accessed: Sep. 25, 2017.
@article{1800-17,
url = {http://sigport.org/1800},
author = {Kalani Wataraka Gamage; Vidhyasaharan Sethu; Eliathamby Ambikairajah },
publisher = {IEEE SigPort},
title = {SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION},
year = {2017} }
TY - EJOUR
T1 - SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION
AU - Kalani Wataraka Gamage; Vidhyasaharan Sethu; Eliathamby Ambikairajah
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1800
ER -
Kalani Wataraka Gamage, Vidhyasaharan Sethu, Eliathamby Ambikairajah. (2017). SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION. IEEE SigPort. http://sigport.org/1800
Kalani Wataraka Gamage, Vidhyasaharan Sethu, Eliathamby Ambikairajah, 2017. SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION. Available at: http://sigport.org/1800.
Kalani Wataraka Gamage, Vidhyasaharan Sethu, Eliathamby Ambikairajah. (2017). "SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION." Web.
1. Kalani Wataraka Gamage, Vidhyasaharan Sethu, Eliathamby Ambikairajah. SALIENCE BASED LEXICAL FEATURES FOR EMOTION RECOGNITION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1800

Hand Gesture Recognition Using Ultrasonic Waves

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Authors:
Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri
Submitted On:
17 March 2017 - 7:18am
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ICASSP_2017_Poster.pdf

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[1] Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri , "Hand Gesture Recognition Using Ultrasonic Waves", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1774. Accessed: Sep. 25, 2017.
@article{1774-17,
url = {http://sigport.org/1774},
author = {Mohammed H. AlSharif; Mohamed Saad; Tareq Y. Al-Naffouri },
publisher = {IEEE SigPort},
title = {Hand Gesture Recognition Using Ultrasonic Waves},
year = {2017} }
TY - EJOUR
T1 - Hand Gesture Recognition Using Ultrasonic Waves
AU - Mohammed H. AlSharif; Mohamed Saad; Tareq Y. Al-Naffouri
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1774
ER -
Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri . (2017). Hand Gesture Recognition Using Ultrasonic Waves. IEEE SigPort. http://sigport.org/1774
Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri , 2017. Hand Gesture Recognition Using Ultrasonic Waves. Available at: http://sigport.org/1774.
Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri . (2017). "Hand Gesture Recognition Using Ultrasonic Waves." Web.
1. Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri . Hand Gesture Recognition Using Ultrasonic Waves [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1774

SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results

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27 March 2017 - 9:38pm
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2017 SP CUP Results.pdf

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[1] , "SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1741. Accessed: Sep. 25, 2017.
@article{1741-17,
url = {http://sigport.org/1741},
author = { },
publisher = {IEEE SigPort},
title = {SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results},
year = {2017} }
TY - EJOUR
T1 - SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1741
ER -
. (2017). SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results. IEEE SigPort. http://sigport.org/1741
, 2017. SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results. Available at: http://sigport.org/1741.
. (2017). "SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results." Web.
1. . SIGNAL PROCESSING CUP 2017 - REAL-TIME BEAT TRACKING CHALLENGE - Results [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1741

Estimation in Autoregressive Processes with Partial Observations


We consider the problem of estimating the covariance matrix and the transition matrix of vector autoregressive (VAR) processes from partial measurements. This model encompasses settings where there are limitations in the data acquisition of the underlying measurement systems so that data is lost or corrupted by noise. An estimator for the covariance matrix of the observations is first presented.

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Authors:
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith
Submitted On:
10 March 2017 - 4:48pm
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Poster presentation

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[1] Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith, "Estimation in Autoregressive Processes with Partial Observations", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1738. Accessed: Sep. 25, 2017.
@article{1738-17,
url = {http://sigport.org/1738},
author = {Milind Rao; Tara Javidi; Yonina C. Eldar; Andrea Goldsmith },
publisher = {IEEE SigPort},
title = {Estimation in Autoregressive Processes with Partial Observations},
year = {2017} }
TY - EJOUR
T1 - Estimation in Autoregressive Processes with Partial Observations
AU - Milind Rao; Tara Javidi; Yonina C. Eldar; Andrea Goldsmith
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1738
ER -
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith. (2017). Estimation in Autoregressive Processes with Partial Observations. IEEE SigPort. http://sigport.org/1738
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith, 2017. Estimation in Autoregressive Processes with Partial Observations. Available at: http://sigport.org/1738.
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith. (2017). "Estimation in Autoregressive Processes with Partial Observations." Web.
1. Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith. Estimation in Autoregressive Processes with Partial Observations [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1738

Estimation in Autoregressive Processes with Partial Observations


We consider the problem of estimating the covariance matrix and the transition matrix of vector autoregressive (VAR) processes from partial measurements. This model encompasses settings where there are limitations in the data acquisition of the underlying measurement systems so that data is lost or corrupted by noise. An estimator for the covariance matrix of the observations is first presented.

Paper Details

Authors:
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith
Submitted On:
10 March 2017 - 4:48pm
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icassp_poster.pdf

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[1] Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith, "Estimation in Autoregressive Processes with Partial Observations", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1737. Accessed: Sep. 25, 2017.
@article{1737-17,
url = {http://sigport.org/1737},
author = {Milind Rao; Tara Javidi; Yonina C. Eldar; Andrea Goldsmith },
publisher = {IEEE SigPort},
title = {Estimation in Autoregressive Processes with Partial Observations},
year = {2017} }
TY - EJOUR
T1 - Estimation in Autoregressive Processes with Partial Observations
AU - Milind Rao; Tara Javidi; Yonina C. Eldar; Andrea Goldsmith
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1737
ER -
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith. (2017). Estimation in Autoregressive Processes with Partial Observations. IEEE SigPort. http://sigport.org/1737
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith, 2017. Estimation in Autoregressive Processes with Partial Observations. Available at: http://sigport.org/1737.
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith. (2017). "Estimation in Autoregressive Processes with Partial Observations." Web.
1. Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea Goldsmith. Estimation in Autoregressive Processes with Partial Observations [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1737

Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search

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9 March 2017 - 12:45pm
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ICASSP 2017 - Bin Ma.pdf

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[1] , "Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1724. Accessed: Sep. 25, 2017.
@article{1724-17,
url = {http://sigport.org/1724},
author = { },
publisher = {IEEE SigPort},
title = {Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search},
year = {2017} }
TY - EJOUR
T1 - Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1724
ER -
. (2017). Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search. IEEE SigPort. http://sigport.org/1724
, 2017. Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search. Available at: http://sigport.org/1724.
. (2017). "Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search." Web.
1. . Efficient Methods to Train Multilingual Bottleneck Feature Extractors for Low Resource Keyword Search [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1724

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: Sep. 25, 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

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