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Adaptive Signal Processing

Identification of Bilinear Forms with the Kalman Filter

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Authors:
Laura Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida
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21 April 2018 - 12:05pm
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Identification_of_Bilinear_Forms_with_the_Kalman_Filter_ICASSP_2018.pdf

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[1] Laura Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida, "Identification of Bilinear Forms with the Kalman Filter", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3123. Accessed: May. 25, 2018.
@article{3123-18,
url = {http://sigport.org/3123},
author = {Laura Dogariu; Constantin Paleologu; Silviu Ciochina; Jacob Benesty; Pablo Piantanida },
publisher = {IEEE SigPort},
title = {Identification of Bilinear Forms with the Kalman Filter},
year = {2018} }
TY - EJOUR
T1 - Identification of Bilinear Forms with the Kalman Filter
AU - Laura Dogariu; Constantin Paleologu; Silviu Ciochina; Jacob Benesty; Pablo Piantanida
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3123
ER -
Laura Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida. (2018). Identification of Bilinear Forms with the Kalman Filter. IEEE SigPort. http://sigport.org/3123
Laura Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida, 2018. Identification of Bilinear Forms with the Kalman Filter. Available at: http://sigport.org/3123.
Laura Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida. (2018). "Identification of Bilinear Forms with the Kalman Filter." Web.
1. Laura Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida. Identification of Bilinear Forms with the Kalman Filter [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3123

Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents

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Authors:
Haiquan Zhao, Rodrigo C. de Lamare, and Yuriy Zakharov
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19 April 2018 - 9:42pm
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presentation file for ICASSP 2018.pdf

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[1] Haiquan Zhao, Rodrigo C. de Lamare, and Yuriy Zakharov, "Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3051. Accessed: May. 25, 2018.
@article{3051-18,
url = {http://sigport.org/3051},
author = {Haiquan Zhao; Rodrigo C. de Lamare; and Yuriy Zakharov },
publisher = {IEEE SigPort},
title = {Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents},
year = {2018} }
TY - EJOUR
T1 - Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents
AU - Haiquan Zhao; Rodrigo C. de Lamare; and Yuriy Zakharov
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3051
ER -
Haiquan Zhao, Rodrigo C. de Lamare, and Yuriy Zakharov. (2018). Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents. IEEE SigPort. http://sigport.org/3051
Haiquan Zhao, Rodrigo C. de Lamare, and Yuriy Zakharov, 2018. Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents. Available at: http://sigport.org/3051.
Haiquan Zhao, Rodrigo C. de Lamare, and Yuriy Zakharov. (2018). "Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents." Web.
1. Haiquan Zhao, Rodrigo C. de Lamare, and Yuriy Zakharov. Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3051

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
Submitted On:
19 April 2018 - 7:37pm
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control-icassp18-poster.pdf

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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: May. 25, 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

A Quaternion Kernel Minimum Error Entropy Adaptive Filter

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15 April 2018 - 6:58pm
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ICASSP_2018_Paper_3604_v12_Quat_KMEE_rev8.pdf

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[1] , "A Quaternion Kernel Minimum Error Entropy Adaptive Filter", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2904. Accessed: May. 25, 2018.
@article{2904-18,
url = {http://sigport.org/2904},
author = { },
publisher = {IEEE SigPort},
title = {A Quaternion Kernel Minimum Error Entropy Adaptive Filter},
year = {2018} }
TY - EJOUR
T1 - A Quaternion Kernel Minimum Error Entropy Adaptive Filter
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2904
ER -
. (2018). A Quaternion Kernel Minimum Error Entropy Adaptive Filter. IEEE SigPort. http://sigport.org/2904
, 2018. A Quaternion Kernel Minimum Error Entropy Adaptive Filter. Available at: http://sigport.org/2904.
. (2018). "A Quaternion Kernel Minimum Error Entropy Adaptive Filter." Web.
1. . A Quaternion Kernel Minimum Error Entropy Adaptive Filter [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2904

Feature LMS Algorithms


In recent years, there is a growing effort in the learning algorithms area to propose new strategies to detect and exploit sparsity in the model parameters. In many situations, the sparsity is hidden in the relations among these coefficients so that some suitable tools are required to reveal the potential sparsity. This work proposes a set of LMS-type algorithms, collectively called Feature LMS (F-LMS) algorithms, setting forth a hidden feature of the unknown parameters, which ultimately would improve convergence speed and steady-state mean-squared error.

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Authors:
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Markus Vinicius Santos Lima
Submitted On:
14 April 2018 - 11:53pm
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ICASSP2018_Diniz_Presentation.pdf

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[1] Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Markus Vinicius Santos Lima, "Feature LMS Algorithms", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2874. Accessed: May. 25, 2018.
@article{2874-18,
url = {http://sigport.org/2874},
author = {Paulo Sergio Ramirez Diniz; Hamed Yazdanpanah; Markus Vinicius Santos Lima },
publisher = {IEEE SigPort},
title = {Feature LMS Algorithms},
year = {2018} }
TY - EJOUR
T1 - Feature LMS Algorithms
AU - Paulo Sergio Ramirez Diniz; Hamed Yazdanpanah; Markus Vinicius Santos Lima
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2874
ER -
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Markus Vinicius Santos Lima. (2018). Feature LMS Algorithms. IEEE SigPort. http://sigport.org/2874
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Markus Vinicius Santos Lima, 2018. Feature LMS Algorithms. Available at: http://sigport.org/2874.
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Markus Vinicius Santos Lima. (2018). "Feature LMS Algorithms." Web.
1. Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, Markus Vinicius Santos Lima. Feature LMS Algorithms [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2874

GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching


poster.pdf

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Authors:
Zeyu Fu, Federico Angelini, Syed Mohsen Naqvi, Jonathon A. Chambers
Submitted On:
14 April 2018 - 4:15pm
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poster.pdf

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[1] Zeyu Fu, Federico Angelini, Syed Mohsen Naqvi, Jonathon A. Chambers, "GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2851. Accessed: May. 25, 2018.
@article{2851-18,
url = {http://sigport.org/2851},
author = {Zeyu Fu; Federico Angelini; Syed Mohsen Naqvi; Jonathon A. Chambers },
publisher = {IEEE SigPort},
title = {GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching},
year = {2018} }
TY - EJOUR
T1 - GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching
AU - Zeyu Fu; Federico Angelini; Syed Mohsen Naqvi; Jonathon A. Chambers
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2851
ER -
Zeyu Fu, Federico Angelini, Syed Mohsen Naqvi, Jonathon A. Chambers. (2018). GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching. IEEE SigPort. http://sigport.org/2851
Zeyu Fu, Federico Angelini, Syed Mohsen Naqvi, Jonathon A. Chambers, 2018. GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching. Available at: http://sigport.org/2851.
Zeyu Fu, Federico Angelini, Syed Mohsen Naqvi, Jonathon A. Chambers. (2018). "GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching." Web.
1. Zeyu Fu, Federico Angelini, Syed Mohsen Naqvi, Jonathon A. Chambers. GM-PHD Filter Based Online Multiple Human Tracking using Deep Discriminative Correlation Matching [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2851

Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster)


We propose a novel automatic shrinkage tuning technique for the adaptive proximal forward-backward splitting (APFBS) algorithm. The shrinkage tuning aims to choose an appropriate value of the shrinkage parameter and achieve minimal system mismatch as possible. The system mismatch is approximated based on time-averaged second-order statistics. Numerical examples show that the proposed method achieves performance fairly close to that with a manually chosen shrinkage parameter for colored input signals at some signal to noise ratio (SNR).

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Authors:
Kwangjin JEONG, Masahiro YUKAWA, Masao YAMAGISHI, Isao YAMADA
Submitted On:
14 April 2018 - 8:55am
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ICASSP2018Poster9_1p.pdf

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[1] Kwangjin JEONG, Masahiro YUKAWA, Masao YAMAGISHI, Isao YAMADA, "Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster)", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2830. Accessed: May. 25, 2018.
@article{2830-18,
url = {http://sigport.org/2830},
author = {Kwangjin JEONG; Masahiro YUKAWA; Masao YAMAGISHI; Isao YAMADA },
publisher = {IEEE SigPort},
title = {Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster)},
year = {2018} }
TY - EJOUR
T1 - Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster)
AU - Kwangjin JEONG; Masahiro YUKAWA; Masao YAMAGISHI; Isao YAMADA
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2830
ER -
Kwangjin JEONG, Masahiro YUKAWA, Masao YAMAGISHI, Isao YAMADA. (2018). Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster). IEEE SigPort. http://sigport.org/2830
Kwangjin JEONG, Masahiro YUKAWA, Masao YAMAGISHI, Isao YAMADA, 2018. Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster). Available at: http://sigport.org/2830.
Kwangjin JEONG, Masahiro YUKAWA, Masao YAMAGISHI, Isao YAMADA. (2018). "Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster)." Web.
1. Kwangjin JEONG, Masahiro YUKAWA, Masao YAMAGISHI, Isao YAMADA. Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering (Poster) [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2830

Feature LMS Algorithms


In recent years, there is a growing effort in the learning algorithms
area to propose new strategies to detect and exploit
sparsity in the model parameters. In many situations, the
sparsity is hidden in the relations among these coefficients
so that some suitable tools are required to reveal the potential
sparsity. This work proposes a set of LMS-type algorithms,
collectively called Feature LMS (F-LMS) algorithms, setting
forth a hidden feature of the unknown parameters, which ultimately
would improve convergence speed and steady-state

Paper Details

Authors:
Submitted On:
13 April 2018 - 11:20pm
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ICASSP2018_Presentation

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[1] , "Feature LMS Algorithms", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2787. Accessed: May. 25, 2018.
@article{2787-18,
url = {http://sigport.org/2787},
author = { },
publisher = {IEEE SigPort},
title = {Feature LMS Algorithms},
year = {2018} }
TY - EJOUR
T1 - Feature LMS Algorithms
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2787
ER -
. (2018). Feature LMS Algorithms. IEEE SigPort. http://sigport.org/2787
, 2018. Feature LMS Algorithms. Available at: http://sigport.org/2787.
. (2018). "Feature LMS Algorithms." Web.
1. . Feature LMS Algorithms [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2787

CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA

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Authors:
Bruno Scalzo Dees, Yili Xia, Scott C. Douglas, Danilo P. Mandic
Submitted On:
13 April 2018 - 10:57am
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poster_MICCC.pdf

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[1] Bruno Scalzo Dees, Yili Xia, Scott C. Douglas, Danilo P. Mandic, "CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2715. Accessed: May. 25, 2018.
@article{2715-18,
url = {http://sigport.org/2715},
author = {Bruno Scalzo Dees; Yili Xia; Scott C. Douglas; Danilo P. Mandic },
publisher = {IEEE SigPort},
title = {CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA},
year = {2018} }
TY - EJOUR
T1 - CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA
AU - Bruno Scalzo Dees; Yili Xia; Scott C. Douglas; Danilo P. Mandic
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2715
ER -
Bruno Scalzo Dees, Yili Xia, Scott C. Douglas, Danilo P. Mandic. (2018). CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA. IEEE SigPort. http://sigport.org/2715
Bruno Scalzo Dees, Yili Xia, Scott C. Douglas, Danilo P. Mandic, 2018. CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA. Available at: http://sigport.org/2715.
Bruno Scalzo Dees, Yili Xia, Scott C. Douglas, Danilo P. Mandic. (2018). "CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA." Web.
1. Bruno Scalzo Dees, Yili Xia, Scott C. Douglas, Danilo P. Mandic. CORRENTROPY-BASED ADAPTIVE FILTERING OF NONCIRCULAR COMPLEX DATA [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2715

DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS


In this paper, we use the set-membership normalized least-mean-square (SM-NLMS) algorithm to censor the data set in big data applications. First, we use the distribution of the noise signal and the excess of the steady-state mean-square error (EMSE) to estimate the threshold for the desired update rate in the single threshold SM-NLMS (ST-SM-NLMS) algorithm. Then, we introduce the double threshold SM-NLMS (DT-SM-NLMS) algorithm which defines an acceptable
range of the error signal. This algorithm censors the data with very low and very high output estimation error.

Paper Details

Authors:
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah
Submitted On:
10 November 2017 - 12:09pm
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DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS

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[1] Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, "DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2295. Accessed: May. 25, 2018.
@article{2295-17,
url = {http://sigport.org/2295},
author = {Paulo Sergio Ramirez Diniz; Hamed Yazdanpanah },
publisher = {IEEE SigPort},
title = {DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS},
year = {2017} }
TY - EJOUR
T1 - DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS
AU - Paulo Sergio Ramirez Diniz; Hamed Yazdanpanah
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2295
ER -
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah. (2017). DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS. IEEE SigPort. http://sigport.org/2295
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah, 2017. DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS. Available at: http://sigport.org/2295.
Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah. (2017). "DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS." Web.
1. Paulo Sergio Ramirez Diniz, Hamed Yazdanpanah. DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2295

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