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ICASSP 2019

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The 2019 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit website

ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation


This paper is concerned with estimating unknown multidimensional frequencies from linear compressive measurements. This is accomplished by employing the recently proposed atomic norm minimization framework to recover these frequencies under a sparsity prior without imposing any grid restriction on these frequencies. To this end, we give a rigorous derivation of an iterative scheme called alternating direction of multipliers method, which is able to incorporate multiple compressive snapshots from a multi-dimensional superposition of complex harmonics.

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Authors:
Sebastian Semper, Florian Roemer
Submitted On:
20 May 2019 - 8:31am
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Slides for the presentation at ICASSP 2019 (SAM-L1.3)

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[1] Sebastian Semper, Florian Roemer, "ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4553. Accessed: Jun. 24, 2019.
@article{4553-19,
url = {http://sigport.org/4553},
author = {Sebastian Semper; Florian Roemer },
publisher = {IEEE SigPort},
title = {ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation},
year = {2019} }
TY - EJOUR
T1 - ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation
AU - Sebastian Semper; Florian Roemer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4553
ER -
Sebastian Semper, Florian Roemer. (2019). ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation. IEEE SigPort. http://sigport.org/4553
Sebastian Semper, Florian Roemer, 2019. ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation. Available at: http://sigport.org/4553.
Sebastian Semper, Florian Roemer. (2019). "ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation." Web.
1. Sebastian Semper, Florian Roemer. ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4553

Sentiment Aware Fake News Detection on Online Social Networks

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Authors:
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari
Submitted On:
19 May 2019 - 7:04pm
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Poster-ICASSP2019

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[1] Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari, "Sentiment Aware Fake News Detection on Online Social Networks", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4552. Accessed: Jun. 24, 2019.
@article{4552-19,
url = {http://sigport.org/4552},
author = {Oluwaseun Ajao; Deepayan Bhowmik; Shahrzad Zargari },
publisher = {IEEE SigPort},
title = {Sentiment Aware Fake News Detection on Online Social Networks},
year = {2019} }
TY - EJOUR
T1 - Sentiment Aware Fake News Detection on Online Social Networks
AU - Oluwaseun Ajao; Deepayan Bhowmik; Shahrzad Zargari
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4552
ER -
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari. (2019). Sentiment Aware Fake News Detection on Online Social Networks. IEEE SigPort. http://sigport.org/4552
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari, 2019. Sentiment Aware Fake News Detection on Online Social Networks. Available at: http://sigport.org/4552.
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari. (2019). "Sentiment Aware Fake News Detection on Online Social Networks." Web.
1. Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari. Sentiment Aware Fake News Detection on Online Social Networks [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4552

Improving Graph Trend Filtering with Non-Convex Penalties


In this paper, we study the denoising of piecewise smooth graph sig-nals that exhibit inhomogeneous levels of smoothness over a graph. We extend the graph trend filtering framework to a family of non-convex regularizers that exhibit superior recovery performance overexisting convex ones. We present theoretical results in the form ofasymptotic error rates for both generic and specialized graph models. We further present an ADMM-based algorithm to solve the proposedoptimization problem and analyze its convergence.

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Authors:
Rohan Varma, Jelena Kovačević
Submitted On:
9 June 2019 - 8:24pm
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ICASSP_poster.pdf

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[1] Rohan Varma, Jelena Kovačević, "Improving Graph Trend Filtering with Non-Convex Penalties", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4551. Accessed: Jun. 24, 2019.
@article{4551-19,
url = {http://sigport.org/4551},
author = {Rohan Varma; Jelena Kovačević },
publisher = {IEEE SigPort},
title = {Improving Graph Trend Filtering with Non-Convex Penalties},
year = {2019} }
TY - EJOUR
T1 - Improving Graph Trend Filtering with Non-Convex Penalties
AU - Rohan Varma; Jelena Kovačević
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4551
ER -
Rohan Varma, Jelena Kovačević. (2019). Improving Graph Trend Filtering with Non-Convex Penalties. IEEE SigPort. http://sigport.org/4551
Rohan Varma, Jelena Kovačević, 2019. Improving Graph Trend Filtering with Non-Convex Penalties. Available at: http://sigport.org/4551.
Rohan Varma, Jelena Kovačević. (2019). "Improving Graph Trend Filtering with Non-Convex Penalties." Web.
1. Rohan Varma, Jelena Kovačević. Improving Graph Trend Filtering with Non-Convex Penalties [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4551

ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding


Electric Network Frequency (ENF) analysis is a promising forensic technique for authenticating digital recordings and detecting tampering within the recordings. The validity of ENF analysis heavily relies on high-quality ENF signals extracted from multimedia recordings. In this paper, we propose an ENF signal extraction method for rolling shutter acquired videos using periodic zero-padding. Our analysis shows that the extracted ENF signals using the proposed method are not distorted and the component with the highest signal-to-noise ratio is located at the intrinsic frequency.

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Submitted On:
21 May 2019 - 8:49pm
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Poster for ICASSP 2019 paper

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[1] , "ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4550. Accessed: Jun. 24, 2019.
@article{4550-19,
url = {http://sigport.org/4550},
author = { },
publisher = {IEEE SigPort},
title = {ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding},
year = {2019} }
TY - EJOUR
T1 - ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4550
ER -
. (2019). ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding. IEEE SigPort. http://sigport.org/4550
, 2019. ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding. Available at: http://sigport.org/4550.
. (2019). "ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding." Web.
1. . ENF Signal Extraction for Rolling-shutter Videos Using Periodic Zero-padding [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4550

Similarity Metric Based on Siamese Neural Networks for Voice Casting

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Authors:
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre
Submitted On:
17 May 2019 - 6:34am
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Poster_ICASSP19.pdf

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[1] Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre, "Similarity Metric Based on Siamese Neural Networks for Voice Casting", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4547. Accessed: Jun. 24, 2019.
@article{4547-19,
url = {http://sigport.org/4547},
author = {Mathias Quillot; Richard Dufour; Vincent Labatut; Jean-François Bonastre },
publisher = {IEEE SigPort},
title = {Similarity Metric Based on Siamese Neural Networks for Voice Casting},
year = {2019} }
TY - EJOUR
T1 - Similarity Metric Based on Siamese Neural Networks for Voice Casting
AU - Mathias Quillot; Richard Dufour; Vincent Labatut; Jean-François Bonastre
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4547
ER -
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre. (2019). Similarity Metric Based on Siamese Neural Networks for Voice Casting. IEEE SigPort. http://sigport.org/4547
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre, 2019. Similarity Metric Based on Siamese Neural Networks for Voice Casting. Available at: http://sigport.org/4547.
Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre. (2019). "Similarity Metric Based on Siamese Neural Networks for Voice Casting." Web.
1. Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre. Similarity Metric Based on Siamese Neural Networks for Voice Casting [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4547

BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG

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17 May 2019 - 6:04am
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presen_SIP_ICASSP.pdf

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[1] , "BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4546. Accessed: Jun. 24, 2019.
@article{4546-19,
url = {http://sigport.org/4546},
author = { },
publisher = {IEEE SigPort},
title = {BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG},
year = {2019} }
TY - EJOUR
T1 - BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4546
ER -
. (2019). BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG. IEEE SigPort. http://sigport.org/4546
, 2019. BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG. Available at: http://sigport.org/4546.
. (2019). "BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG." Web.
1. . BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4546

BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG

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17 May 2019 - 6:04am
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BEAMFORMER_DESIGN_TIME-CORRELATED_INTERFERENCE

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[1] , "BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4545. Accessed: Jun. 24, 2019.
@article{4545-19,
url = {http://sigport.org/4545},
author = { },
publisher = {IEEE SigPort},
title = {BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG},
year = {2019} }
TY - EJOUR
T1 - BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4545
ER -
. (2019). BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG. IEEE SigPort. http://sigport.org/4545
, 2019. BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG. Available at: http://sigport.org/4545.
. (2019). "BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG." Web.
1. . BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4545

Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems

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Authors:
Ema Becirovic, Emil Björnson, Erik G. Larsson
Submitted On:
17 May 2019 - 3:46am
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presentation_ICASSP.pdf

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[1] Ema Becirovic, Emil Björnson, Erik G. Larsson, "Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4544. Accessed: Jun. 24, 2019.
@article{4544-19,
url = {http://sigport.org/4544},
author = {Ema Becirovic; Emil Björnson; Erik G. Larsson },
publisher = {IEEE SigPort},
title = {Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems},
year = {2019} }
TY - EJOUR
T1 - Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems
AU - Ema Becirovic; Emil Björnson; Erik G. Larsson
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4544
ER -
Ema Becirovic, Emil Björnson, Erik G. Larsson. (2019). Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems. IEEE SigPort. http://sigport.org/4544
Ema Becirovic, Emil Björnson, Erik G. Larsson, 2019. Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems. Available at: http://sigport.org/4544.
Ema Becirovic, Emil Björnson, Erik G. Larsson. (2019). "Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems." Web.
1. Ema Becirovic, Emil Björnson, Erik G. Larsson. Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4544

Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems


In this paper, the importance of analytic phase of the speech signal in automatic speaker verification systems is demonstrated in the context of replay spoof attacks. In order to accurately detect the replay spoof attacks, effective feature representations of speech signals are required to capture the distortion introduced due to the intermediate playback/recording devices, which is convolutive in nature.

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Authors:
Shaik Mohammad Rafi B, Sri Rama Murty K
Submitted On:
16 May 2019 - 10:16pm
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Poster of ICASSP19

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[1] Shaik Mohammad Rafi B, Sri Rama Murty K, "Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4543. Accessed: Jun. 24, 2019.
@article{4543-19,
url = {http://sigport.org/4543},
author = {Shaik Mohammad Rafi B; Sri Rama Murty K },
publisher = {IEEE SigPort},
title = {Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems},
year = {2019} }
TY - EJOUR
T1 - Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems
AU - Shaik Mohammad Rafi B; Sri Rama Murty K
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4543
ER -
Shaik Mohammad Rafi B, Sri Rama Murty K. (2019). Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems. IEEE SigPort. http://sigport.org/4543
Shaik Mohammad Rafi B, Sri Rama Murty K, 2019. Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems. Available at: http://sigport.org/4543.
Shaik Mohammad Rafi B, Sri Rama Murty K. (2019). "Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems." Web.
1. Shaik Mohammad Rafi B, Sri Rama Murty K. Importance of analytic phase of the speech signal for detecting Replay attacks in automatic speaker verification systems [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4543

Single Image Interpolation Exploiting Semi-local Similarity


This paper explores the modeling and exploitation of semi-local similarity in natural images to address the ill-posed nature of image interpolation. Our approach distinguishes itself from prior approaches by direct and careful use of semi-local similar patches to interpolate each individual patch. Our work uses a simple, parallelizable algorithm without the need to solve complicated optimization problems. Experimental results demonstrate that our interpolated images achieve significantly higher objective and subjective quality compared with those from state-of-the-art algorithms.

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16 May 2019 - 8:32pm
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Single Image Interpolation Exploiting Semi-local Similarity.pdf

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[1] , "Single Image Interpolation Exploiting Semi-local Similarity", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4542. Accessed: Jun. 24, 2019.
@article{4542-19,
url = {http://sigport.org/4542},
author = { },
publisher = {IEEE SigPort},
title = {Single Image Interpolation Exploiting Semi-local Similarity},
year = {2019} }
TY - EJOUR
T1 - Single Image Interpolation Exploiting Semi-local Similarity
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4542
ER -
. (2019). Single Image Interpolation Exploiting Semi-local Similarity. IEEE SigPort. http://sigport.org/4542
, 2019. Single Image Interpolation Exploiting Semi-local Similarity. Available at: http://sigport.org/4542.
. (2019). "Single Image Interpolation Exploiting Semi-local Similarity." Web.
1. . Single Image Interpolation Exploiting Semi-local Similarity [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4542

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