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ICASSP 2018

ICASSP is the world's largest and most comprehensive technical conference on signal processing and its applications. It provides a fantastic networking opportunity for like-minded professionals from around the world. ICASSP 2018 conference will feature world-class presentations by internationally renowned speakers and cutting-edge session topics. Visit ICASSP 2018.

Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization

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Authors:
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng
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19 April 2018 - 9:11pm
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[1] Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng, "Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3048. Accessed: Apr. 21, 2018.
@article{3048-18,
url = {http://sigport.org/3048},
author = {Wei Xiong; Maria Greco; Fulvio Gini; Gong Zhang; Zhenni Peng },
publisher = {IEEE SigPort},
title = {Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization},
year = {2018} }
TY - EJOUR
T1 - Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization
AU - Wei Xiong; Maria Greco; Fulvio Gini; Gong Zhang; Zhenni Peng
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3048
ER -
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng. (2018). Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization. IEEE SigPort. http://sigport.org/3048
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng, 2018. Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization. Available at: http://sigport.org/3048.
Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng. (2018). "Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization." Web.
1. Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng. Toeplitz Matrix-based Transmit Covariance Matrix of Colocated MIMO Radar Waveforms for SINR Maximization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3048

ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION


In this paper, we study the role of long-time analytic phase of speech
signals in spoken language recognition (SLR) and employ a set
of features termed as instantaneous frequency cepstral coefficients
(IFCC). We extract IFCC from long-time analytic phase, in an effort
to capture long range acoustic features from speech signals. These
features are used in combination with the traditional shifted delta
cepstral coefficients (SDCC) for SLR. As the SDCC are extracted
from spectral magnitude and IFCC are from analytic phase, they

Paper Details

Authors:
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee
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19 April 2018 - 9:06pm
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[1] Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee, "ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3047. Accessed: Apr. 21, 2018.
@article{3047-18,
url = {http://sigport.org/3047},
author = {Karthika Vijayan; Haizhou Li; Hanwu Sun; Kong Aik Lee },
publisher = {IEEE SigPort},
title = {ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION
AU - Karthika Vijayan; Haizhou Li; Hanwu Sun; Kong Aik Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3047
ER -
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee. (2018). ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION. IEEE SigPort. http://sigport.org/3047
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee, 2018. ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION. Available at: http://sigport.org/3047.
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee. (2018). "ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION." Web.
1. Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee. ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3047

Watermarking and rank metric codes


This paper presents a different way to improve the resistance of digital watermarking. Using the well known Lattice QIM in the spatial domain, we analyze the interest of using a different kind of error correcting codes: rank metric codes. These codes are already used in communications for network coding but not used in the context of watermarking. In this article, we show how this metric permits to correct errors with a specific structure and is adapted to specific image attacks. We propose a first study to validate the concept of rank metric for watermarking process.

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Authors:
Pascal Lefèvre, Philippe Carré, Philippe Gaborit
Submitted On:
19 April 2018 - 8:54pm
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icassp2018_poster.pdf

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[1] Pascal Lefèvre, Philippe Carré, Philippe Gaborit, "Watermarking and rank metric codes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3046. Accessed: Apr. 21, 2018.
@article{3046-18,
url = {http://sigport.org/3046},
author = {Pascal Lefèvre; Philippe Carré; Philippe Gaborit },
publisher = {IEEE SigPort},
title = {Watermarking and rank metric codes},
year = {2018} }
TY - EJOUR
T1 - Watermarking and rank metric codes
AU - Pascal Lefèvre; Philippe Carré; Philippe Gaborit
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3046
ER -
Pascal Lefèvre, Philippe Carré, Philippe Gaborit. (2018). Watermarking and rank metric codes. IEEE SigPort. http://sigport.org/3046
Pascal Lefèvre, Philippe Carré, Philippe Gaborit, 2018. Watermarking and rank metric codes. Available at: http://sigport.org/3046.
Pascal Lefèvre, Philippe Carré, Philippe Gaborit. (2018). "Watermarking and rank metric codes." Web.
1. Pascal Lefèvre, Philippe Carré, Philippe Gaborit. Watermarking and rank metric codes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3046

SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL

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Authors:
Xiaoye Wang, Zhaocheng Yang, and Jianjun Huang
Submitted On:
19 April 2018 - 8:51pm
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[1] Xiaoye Wang, Zhaocheng Yang, and Jianjun Huang, "SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3045. Accessed: Apr. 21, 2018.
@article{3045-18,
url = {http://sigport.org/3045},
author = {Xiaoye Wang; Zhaocheng Yang; and Jianjun Huang },
publisher = {IEEE SigPort},
title = {SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL},
year = {2018} }
TY - EJOUR
T1 - SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL
AU - Xiaoye Wang; Zhaocheng Yang; and Jianjun Huang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3045
ER -
Xiaoye Wang, Zhaocheng Yang, and Jianjun Huang. (2018). SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL. IEEE SigPort. http://sigport.org/3045
Xiaoye Wang, Zhaocheng Yang, and Jianjun Huang, 2018. SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL. Available at: http://sigport.org/3045.
Xiaoye Wang, Zhaocheng Yang, and Jianjun Huang. (2018). "SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL." Web.
1. Xiaoye Wang, Zhaocheng Yang, and Jianjun Huang. SPARSITY-BASED SPACE-TIME ADAPTIVE PROCESSING FOR AIRBORNE RADAR WITH COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3045

Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities

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19 April 2018 - 8:48pm
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[1] , "Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3044. Accessed: Apr. 21, 2018.
@article{3044-18,
url = {http://sigport.org/3044},
author = { },
publisher = {IEEE SigPort},
title = {Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities},
year = {2018} }
TY - EJOUR
T1 - Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3044
ER -
. (2018). Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities. IEEE SigPort. http://sigport.org/3044
, 2018. Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities. Available at: http://sigport.org/3044.
. (2018). "Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities." Web.
1. . Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3044

SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION

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Authors:
Jianbo Ma, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Kong Aik Lee
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19 April 2018 - 8:47pm
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[1] Jianbo Ma, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Kong Aik Lee, "SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3043. Accessed: Apr. 21, 2018.
@article{3043-18,
url = {http://sigport.org/3043},
author = {Jianbo Ma; Vidhyasaharan Sethu; Eliathamby Ambikairajah; Kong Aik Lee },
publisher = {IEEE SigPort},
title = {SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION},
year = {2018} }
TY - EJOUR
T1 - SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION
AU - Jianbo Ma; Vidhyasaharan Sethu; Eliathamby Ambikairajah; Kong Aik Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3043
ER -
Jianbo Ma, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Kong Aik Lee. (2018). SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION. IEEE SigPort. http://sigport.org/3043
Jianbo Ma, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Kong Aik Lee, 2018. SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION. Available at: http://sigport.org/3043.
Jianbo Ma, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Kong Aik Lee. (2018). "SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION." Web.
1. Jianbo Ma, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Kong Aik Lee. SPEAKER-PHONETIC VECTOR ESTIMATION FOR SHORT DURATION SPEAKER VERIFICATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3043

CREPE: A Convolutional Representation for Pitch Estimation


The task of estimating the fundamental frequency of a monophonic sound recording, also known as pitch tracking, is fundamental to audio processing with multiple applications in speech processing and music information retrieval. To date, the best performing techniques, such as the pYIN algorithm, are based on a combination of DSP pipelines and heuristics. While such techniques perform very well on average, there remain many cases in which they fail to correctly estimate the pitch.

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Authors:
Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello
Submitted On:
19 April 2018 - 8:23pm
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[1] Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello, "CREPE: A Convolutional Representation for Pitch Estimation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3042. Accessed: Apr. 21, 2018.
@article{3042-18,
url = {http://sigport.org/3042},
author = {Jong Wook Kim; Justin Salamon; Peter Li; Juan Pablo Bello },
publisher = {IEEE SigPort},
title = {CREPE: A Convolutional Representation for Pitch Estimation},
year = {2018} }
TY - EJOUR
T1 - CREPE: A Convolutional Representation for Pitch Estimation
AU - Jong Wook Kim; Justin Salamon; Peter Li; Juan Pablo Bello
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3042
ER -
Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello. (2018). CREPE: A Convolutional Representation for Pitch Estimation. IEEE SigPort. http://sigport.org/3042
Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello, 2018. CREPE: A Convolutional Representation for Pitch Estimation. Available at: http://sigport.org/3042.
Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello. (2018). "CREPE: A Convolutional Representation for Pitch Estimation." Web.
1. Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello. CREPE: A Convolutional Representation for Pitch Estimation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3042

Control of Graph Signals over Random Time-Varying Graphs


In this work, we jointly exploit tools from graph signal processing and control theory to drive a bandlimited graph signal that is being diffused on a random time-varying graph from a subset of nodes. As our main contribution, we rely only on the statistics of the graph to introduce the concept of controllability in the mean, and therefore drive the signal on the expected graph to a desired state.

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Authors:
Fernando Gama, Elvin Isufi, Geert Leus and Alejandro Ribeiro
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19 April 2018 - 7:37pm
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[1] Fernando Gama, Elvin Isufi, Geert Leus and Alejandro Ribeiro, "Control of Graph Signals over Random Time-Varying Graphs", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3041. Accessed: Apr. 21, 2018.
@article{3041-18,
url = {http://sigport.org/3041},
author = {Fernando Gama; Elvin Isufi; Geert Leus and Alejandro Ribeiro },
publisher = {IEEE SigPort},
title = {Control of Graph Signals over Random Time-Varying Graphs},
year = {2018} }
TY - EJOUR
T1 - Control of Graph Signals over Random Time-Varying Graphs
AU - Fernando Gama; Elvin Isufi; Geert Leus and Alejandro Ribeiro
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3041
ER -
Fernando Gama, Elvin Isufi, Geert Leus and Alejandro Ribeiro. (2018). Control of Graph Signals over Random Time-Varying Graphs. IEEE SigPort. http://sigport.org/3041
Fernando Gama, Elvin Isufi, Geert Leus and Alejandro Ribeiro, 2018. Control of Graph Signals over Random Time-Varying Graphs. Available at: http://sigport.org/3041.
Fernando Gama, Elvin Isufi, Geert Leus and Alejandro Ribeiro. (2018). "Control of Graph Signals over Random Time-Varying Graphs." Web.
1. Fernando Gama, Elvin Isufi, Geert Leus and Alejandro Ribeiro. Control of Graph Signals over Random Time-Varying Graphs [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3041

SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION

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Authors:
Xiantong Zhen; Qiujing Zhang
Submitted On:
19 April 2018 - 7:17pm
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[1] Xiantong Zhen; Qiujing Zhang, "SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3039. Accessed: Apr. 21, 2018.
@article{3039-18,
url = {http://sigport.org/3039},
author = {Xiantong Zhen; Qiujing Zhang },
publisher = {IEEE SigPort},
title = {SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION},
year = {2018} }
TY - EJOUR
T1 - SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION
AU - Xiantong Zhen; Qiujing Zhang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3039
ER -
Xiantong Zhen; Qiujing Zhang. (2018). SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION. IEEE SigPort. http://sigport.org/3039
Xiantong Zhen; Qiujing Zhang, 2018. SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION. Available at: http://sigport.org/3039.
Xiantong Zhen; Qiujing Zhang. (2018). "SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION." Web.
1. Xiantong Zhen; Qiujing Zhang. SPATIAL ENSEMBLE KERNEL LEARNING FOR SCENE CLASSIFICATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3039

Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework


Model-Based Iterative Reconstruction (MBIR) has shown promising results in clinical studies as they allow significant

Paper Details

Authors:
Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken Sauer, Charles Bouman
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19 April 2018 - 7:12pm
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[1] Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken Sauer, Charles Bouman, "Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3038. Accessed: Apr. 21, 2018.
@article{3038-18,
url = {http://sigport.org/3038},
author = {Dong Hye Ye; Somesh Srivastava; Jean-Baptiste Thibault; Ken Sauer; Charles Bouman },
publisher = {IEEE SigPort},
title = {Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework},
year = {2018} }
TY - EJOUR
T1 - Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework
AU - Dong Hye Ye; Somesh Srivastava; Jean-Baptiste Thibault; Ken Sauer; Charles Bouman
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3038
ER -
Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken Sauer, Charles Bouman. (2018). Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework. IEEE SigPort. http://sigport.org/3038
Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken Sauer, Charles Bouman, 2018. Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework. Available at: http://sigport.org/3038.
Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken Sauer, Charles Bouman. (2018). "Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework." Web.
1. Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken Sauer, Charles Bouman. Deep Residual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3038

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