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Signal and System Modeling, Representation and Estimation

INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION


The paper quantifies and compares the exact asymptotic performance of multiple measurement vector (MMV) and distributed sensing (DS) models. Both models assume multiple measurement instances y_k = A_kx_k + w_k; k = 1,2,...,K. The difference is that MMV involves identical measurement matrices whereas DS allows different matrices for different measurement instances. It has been recognized that DS works better than MMV empirically. However, the quantification of the performance difference is not available in the literature.

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Authors:
Wei Dai
Submitted On:
14 March 2016 - 3:11pm
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ICASSP2016.pdf

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[1] Wei Dai, "INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/680. Accessed: Jul. 19, 2019.
@article{680-16,
url = {http://sigport.org/680},
author = {Wei Dai },
publisher = {IEEE SigPort},
title = {INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION},
year = {2016} }
TY - EJOUR
T1 - INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION
AU - Wei Dai
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/680
ER -
Wei Dai. (2016). INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION. IEEE SigPort. http://sigport.org/680
Wei Dai, 2016. INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION. Available at: http://sigport.org/680.
Wei Dai. (2016). "INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION." Web.
1. Wei Dai. INDEPENDENT VERSUS REPEATED MEASUREMENTS: A PERFORMANCE QUANTIFICATION VIA STATE EVOLUTION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/680

ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES


This is an overview poster on recent research of adaptive selection of estimation bandwidth for analysis of locally stationary multivariate processes.

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Authors:
Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa
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14 March 2016 - 4:29am
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Poster ICASSP2016 M.Ciolek.pdf

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[1] Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa, "ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/665. Accessed: Jul. 19, 2019.
@article{665-16,
url = {http://sigport.org/665},
author = {Maciej Niedzwiecki; Marcin Ciolek; Yoshinobu Kajikawa },
publisher = {IEEE SigPort},
title = {ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES},
year = {2016} }
TY - EJOUR
T1 - ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES
AU - Maciej Niedzwiecki; Marcin Ciolek; Yoshinobu Kajikawa
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/665
ER -
Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa. (2016). ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES. IEEE SigPort. http://sigport.org/665
Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa, 2016. ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES. Available at: http://sigport.org/665.
Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa. (2016). "ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES." Web.
1. Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa. ON ADAPTIVE SELECTION OF ESTIMATION BANDWIDTH FOR ANALYSIS OF LOCALLY STATIONARY MULTIVARIATE PROCESSES [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/665

Physical modeling and performance bounds for device-free localization systems

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Authors:
Vittorio Rampa, Stefano Savazzi, Monica Nicoli, Michele D'Amico
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12 March 2016 - 8:25am
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[1] Vittorio Rampa, Stefano Savazzi, Monica Nicoli, Michele D'Amico, "Physical modeling and performance bounds for device-free localization systems", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/637. Accessed: Jul. 19, 2019.
@article{637-16,
url = {http://sigport.org/637},
author = {Vittorio Rampa; Stefano Savazzi; Monica Nicoli; Michele D'Amico },
publisher = {IEEE SigPort},
title = {Physical modeling and performance bounds for device-free localization systems},
year = {2016} }
TY - EJOUR
T1 - Physical modeling and performance bounds for device-free localization systems
AU - Vittorio Rampa; Stefano Savazzi; Monica Nicoli; Michele D'Amico
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/637
ER -
Vittorio Rampa, Stefano Savazzi, Monica Nicoli, Michele D'Amico. (2016). Physical modeling and performance bounds for device-free localization systems. IEEE SigPort. http://sigport.org/637
Vittorio Rampa, Stefano Savazzi, Monica Nicoli, Michele D'Amico, 2016. Physical modeling and performance bounds for device-free localization systems. Available at: http://sigport.org/637.
Vittorio Rampa, Stefano Savazzi, Monica Nicoli, Michele D'Amico. (2016). "Physical modeling and performance bounds for device-free localization systems." Web.
1. Vittorio Rampa, Stefano Savazzi, Monica Nicoli, Michele D'Amico. Physical modeling and performance bounds for device-free localization systems [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/637

A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION

Paper Details

Authors:
Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa
Submitted On:
12 March 2016 - 8:19am
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icassp_IEIIT2.pdf

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[1] Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa, "A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/636. Accessed: Jul. 19, 2019.
@article{636-16,
url = {http://sigport.org/636},
author = {Stefano Savazzi; Sanaz Kianoush; Vittorio Rampa },
publisher = {IEEE SigPort},
title = {A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION},
year = {2016} }
TY - EJOUR
T1 - A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION
AU - Stefano Savazzi; Sanaz Kianoush; Vittorio Rampa
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/636
ER -
Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa. (2016). A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION. IEEE SigPort. http://sigport.org/636
Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa, 2016. A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION. Available at: http://sigport.org/636.
Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa. (2016). "A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION." Web.
1. Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa. A DYNAMIC BAYESIAN NETWORK APPROACH FOR DEVICE-FREE RADIO VISION: MODELING, LEARNING AND INFERENCE FOR BODY MOTION RECOGNITION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/636

Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM

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Authors:
Yuantao Gu
Submitted On:
23 February 2016 - 1:44pm
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[1] Yuantao Gu, "Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/461. Accessed: Jul. 19, 2019.
@article{461-15,
url = {http://sigport.org/461},
author = {Yuantao Gu },
publisher = {IEEE SigPort},
title = {Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM},
year = {2015} }
TY - EJOUR
T1 - Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM
AU - Yuantao Gu
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/461
ER -
Yuantao Gu. (2015). Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM. IEEE SigPort. http://sigport.org/461
Yuantao Gu, 2015. Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM. Available at: http://sigport.org/461.
Yuantao Gu. (2015). "Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM." Web.
1. Yuantao Gu. Anti-sparse Representation for Continuous Function by Dual Atomic Norm with Application in OFDM [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/461

Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing


4 TI_ADC

Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing

Paper Details

Authors:
Simran Singh, Michael Epp, Wolfgang Schlecker and Mikko Valkama
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23 February 2016 - 1:44pm
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2015_Dec_GlobalSIP_4_TI-ADCs_Upload.ppt

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[1] Simran Singh, Michael Epp, Wolfgang Schlecker and Mikko Valkama, "Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/433. Accessed: Jul. 19, 2019.
@article{433-15,
url = {http://sigport.org/433},
author = {Simran Singh; Michael Epp; Wolfgang Schlecker and Mikko Valkama },
publisher = {IEEE SigPort},
title = {Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing},
year = {2015} }
TY - EJOUR
T1 - Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing
AU - Simran Singh; Michael Epp; Wolfgang Schlecker and Mikko Valkama
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/433
ER -
Simran Singh, Michael Epp, Wolfgang Schlecker and Mikko Valkama. (2015). Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing. IEEE SigPort. http://sigport.org/433
Simran Singh, Michael Epp, Wolfgang Schlecker and Mikko Valkama, 2015. Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing. Available at: http://sigport.org/433.
Simran Singh, Michael Epp, Wolfgang Schlecker and Mikko Valkama. (2015). "Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing." Web.
1. Simran Singh, Michael Epp, Wolfgang Schlecker and Mikko Valkama. Low-Complexity Digital Correction of 4-Channel Time-Interleaved ADC Frequency Response Mismatch using Adaptive I/Q Signal Processing [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/433

GlobalSIP_slides_AEK


This paper considers unconstrained convex optimiza- tion problems with time-varying objective functions. We propose algorithms with a discrete time-sampling scheme to find and track the solution trajectory based on prediction and correction steps, while sampling the problem data at a constant rate of 1{h, where h is the length of the sampling interval. The prediction step is derived by analyzing the iso-residual dynamics of the optimality conditions.

Paper Details

Authors:
Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
Submitted On:
23 February 2016 - 1:44pm
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[1] Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro, "GlobalSIP_slides_AEK", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/367. Accessed: Jul. 19, 2019.
@article{367-15,
url = {http://sigport.org/367},
author = {Andrea Simonetto; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro },
publisher = {IEEE SigPort},
title = {GlobalSIP_slides_AEK},
year = {2015} }
TY - EJOUR
T1 - GlobalSIP_slides_AEK
AU - Andrea Simonetto; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/367
ER -
Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro. (2015). GlobalSIP_slides_AEK. IEEE SigPort. http://sigport.org/367
Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro, 2015. GlobalSIP_slides_AEK. Available at: http://sigport.org/367.
Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro. (2015). "GlobalSIP_slides_AEK." Web.
1. Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro. GlobalSIP_slides_AEK [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/367

Spatial Stimuli Gradient Sketch Model


The inability of automated edge detection methods inspired from primal sketch models to accurately calculate object edges under the influence of pixel noise is an open problem. Extending the principles of image perception i.e. Weber-Fechner law, and Sheperd similarity law, we propose a new edge detection method and formulation that use perceived brightness and neighbourhood similarity calculations in the determination of robust object edges.

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Authors:
Joshin John Mathew
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23 February 2016 - 1:44pm
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Spatial Stimuli Gradient Sketch Model (SSGSM)_0 (1).pdf

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[1] Joshin John Mathew, "Spatial Stimuli Gradient Sketch Model", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/366. Accessed: Jul. 19, 2019.
@article{366-15,
url = {http://sigport.org/366},
author = {Joshin John Mathew },
publisher = {IEEE SigPort},
title = {Spatial Stimuli Gradient Sketch Model},
year = {2015} }
TY - EJOUR
T1 - Spatial Stimuli Gradient Sketch Model
AU - Joshin John Mathew
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/366
ER -
Joshin John Mathew. (2015). Spatial Stimuli Gradient Sketch Model. IEEE SigPort. http://sigport.org/366
Joshin John Mathew, 2015. Spatial Stimuli Gradient Sketch Model. Available at: http://sigport.org/366.
Joshin John Mathew. (2015). "Spatial Stimuli Gradient Sketch Model." Web.
1. Joshin John Mathew. Spatial Stimuli Gradient Sketch Model [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/366

Switched dynamic structural equation models for tracking social network topologies


This talk focuses on dynamic inference of hidden, time-varying, and sparse social networks that facilitate the diffusion of information (e.g., viral news, or spread of consumer habits). The key novelty in this work is recognizing that the dynamics of hidden networks are sometimes driven by switching behavior between discrete (and finite) states. The advocated model tacitly accounts for switching dynamics, and a novel efficient tracking algorithm that leverages proximal gradient methods is developed.

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Authors:
Georgios B. Giannakis
Submitted On:
23 February 2016 - 1:44pm
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[1] Georgios B. Giannakis, "Switched dynamic structural equation models for tracking social network topologies", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/329. Accessed: Jul. 19, 2019.
@article{329-15,
url = {http://sigport.org/329},
author = {Georgios B. Giannakis },
publisher = {IEEE SigPort},
title = {Switched dynamic structural equation models for tracking social network topologies},
year = {2015} }
TY - EJOUR
T1 - Switched dynamic structural equation models for tracking social network topologies
AU - Georgios B. Giannakis
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/329
ER -
Georgios B. Giannakis. (2015). Switched dynamic structural equation models for tracking social network topologies. IEEE SigPort. http://sigport.org/329
Georgios B. Giannakis, 2015. Switched dynamic structural equation models for tracking social network topologies. Available at: http://sigport.org/329.
Georgios B. Giannakis. (2015). "Switched dynamic structural equation models for tracking social network topologies." Web.
1. Georgios B. Giannakis. Switched dynamic structural equation models for tracking social network topologies [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/329

CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET

Paper Details

Authors:
TianYao Huang
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23 February 2016 - 1:44pm
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[1] TianYao Huang, "CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/247. Accessed: Jul. 19, 2019.
@article{247-15,
url = {http://sigport.org/247},
author = {TianYao Huang },
publisher = {IEEE SigPort},
title = {CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET},
year = {2015} }
TY - EJOUR
T1 - CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET
AU - TianYao Huang
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/247
ER -
TianYao Huang. (2015). CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET. IEEE SigPort. http://sigport.org/247
TianYao Huang, 2015. CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET. Available at: http://sigport.org/247.
TianYao Huang. (2015). "CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET." Web.
1. TianYao Huang. CRAMER-RAO LOWER BOUNDS OF JOINT DELAY-DOPPLER ESTIMATION FOR AN EXTENDED TARGET [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/247

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