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Sampling and Reconstruction

Recovery of Missing Data in Correlated Smart Grid Datasets

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3 June 2019 - 9:15am
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C Genes IEEE DSW 2019.pdf

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[1] , "Recovery of Missing Data in Correlated Smart Grid Datasets", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4563. Accessed: Aug. 23, 2019.
@article{4563-19,
url = {http://sigport.org/4563},
author = { },
publisher = {IEEE SigPort},
title = {Recovery of Missing Data in Correlated Smart Grid Datasets},
year = {2019} }
TY - EJOUR
T1 - Recovery of Missing Data in Correlated Smart Grid Datasets
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4563
ER -
. (2019). Recovery of Missing Data in Correlated Smart Grid Datasets. IEEE SigPort. http://sigport.org/4563
, 2019. Recovery of Missing Data in Correlated Smart Grid Datasets. Available at: http://sigport.org/4563.
. (2019). "Recovery of Missing Data in Correlated Smart Grid Datasets." Web.
1. . Recovery of Missing Data in Correlated Smart Grid Datasets [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4563

One-Bit Unlimited Sampling


Conventional analog–to–digital converters (ADCs) are limited in dynamic range. If a signal exceeds some prefixed threshold, the ADC saturates and the resulting signal is clipped, thus becoming prone to aliasing artifacts. Recent developments in ADC design allow to overcome this limitation: using modulo operation, the so called self-reset ADCs fold amplitudes which exceed the dynamic range. A new (unlimited) sampling theory is currently being developed in the context of this novel class of ADCs.

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Authors:
Felix Krahmer
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14 May 2019 - 10:46am
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[1] Felix Krahmer, "One-Bit Unlimited Sampling", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4510. Accessed: Aug. 23, 2019.
@article{4510-19,
url = {http://sigport.org/4510},
author = {Felix Krahmer },
publisher = {IEEE SigPort},
title = {One-Bit Unlimited Sampling},
year = {2019} }
TY - EJOUR
T1 - One-Bit Unlimited Sampling
AU - Felix Krahmer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4510
ER -
Felix Krahmer. (2019). One-Bit Unlimited Sampling. IEEE SigPort. http://sigport.org/4510
Felix Krahmer, 2019. One-Bit Unlimited Sampling. Available at: http://sigport.org/4510.
Felix Krahmer. (2019). "One-Bit Unlimited Sampling." Web.
1. Felix Krahmer. One-Bit Unlimited Sampling [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4510

The discrete cosine transform on triangles

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Knut Hüper
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13 May 2019 - 8:12am
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[1] Knut Hüper, "The discrete cosine transform on triangles", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4480. Accessed: Aug. 23, 2019.
@article{4480-19,
url = {http://sigport.org/4480},
author = {Knut Hüper },
publisher = {IEEE SigPort},
title = {The discrete cosine transform on triangles},
year = {2019} }
TY - EJOUR
T1 - The discrete cosine transform on triangles
AU - Knut Hüper
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4480
ER -
Knut Hüper. (2019). The discrete cosine transform on triangles. IEEE SigPort. http://sigport.org/4480
Knut Hüper, 2019. The discrete cosine transform on triangles. Available at: http://sigport.org/4480.
Knut Hüper. (2019). "The discrete cosine transform on triangles." Web.
1. Knut Hüper. The discrete cosine transform on triangles [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4480

Solving Continuous-Domain Inverse Problems Exactly with B-splines

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Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser
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11 May 2019 - 10:11am
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[1] Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser, "Solving Continuous-Domain Inverse Problems Exactly with B-splines", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4444. Accessed: Aug. 23, 2019.
@article{4444-19,
url = {http://sigport.org/4444},
author = {Thomas Debarre; Julien Fageot; Harshit Gupta; Michael Unser },
publisher = {IEEE SigPort},
title = {Solving Continuous-Domain Inverse Problems Exactly with B-splines},
year = {2019} }
TY - EJOUR
T1 - Solving Continuous-Domain Inverse Problems Exactly with B-splines
AU - Thomas Debarre; Julien Fageot; Harshit Gupta; Michael Unser
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4444
ER -
Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser. (2019). Solving Continuous-Domain Inverse Problems Exactly with B-splines. IEEE SigPort. http://sigport.org/4444
Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser, 2019. Solving Continuous-Domain Inverse Problems Exactly with B-splines. Available at: http://sigport.org/4444.
Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser. (2019). "Solving Continuous-Domain Inverse Problems Exactly with B-splines." Web.
1. Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser. Solving Continuous-Domain Inverse Problems Exactly with B-splines [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4444

Rethinking Super-resolution: The Bandwidth Selection Problem


Super-resolution is the art of recovering spikes from their low-pass projections. Over the last decade specifically, several significant advancements linked with mathematical guarantees and recovery algorithms have been made. Most super-resolution algorithms rely on a two-step procedure: deconvolution followed by high-resolution frequency estimation. However, for this to work, exact bandwidth of low-pass filter must be known; an assumption that is central to the mathematical model of super-resolution.

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Authors:
Dmitry Batenkov, Ayush Bhandari, Thierry Blu
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10 May 2019 - 11:17pm
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[1] Dmitry Batenkov, Ayush Bhandari, Thierry Blu, "Rethinking Super-resolution: The Bandwidth Selection Problem", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4430. Accessed: Aug. 23, 2019.
@article{4430-19,
url = {http://sigport.org/4430},
author = {Dmitry Batenkov; Ayush Bhandari; Thierry Blu },
publisher = {IEEE SigPort},
title = {Rethinking Super-resolution: The Bandwidth Selection Problem},
year = {2019} }
TY - EJOUR
T1 - Rethinking Super-resolution: The Bandwidth Selection Problem
AU - Dmitry Batenkov; Ayush Bhandari; Thierry Blu
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4430
ER -
Dmitry Batenkov, Ayush Bhandari, Thierry Blu. (2019). Rethinking Super-resolution: The Bandwidth Selection Problem. IEEE SigPort. http://sigport.org/4430
Dmitry Batenkov, Ayush Bhandari, Thierry Blu, 2019. Rethinking Super-resolution: The Bandwidth Selection Problem. Available at: http://sigport.org/4430.
Dmitry Batenkov, Ayush Bhandari, Thierry Blu. (2019). "Rethinking Super-resolution: The Bandwidth Selection Problem." Web.
1. Dmitry Batenkov, Ayush Bhandari, Thierry Blu. Rethinking Super-resolution: The Bandwidth Selection Problem [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4430

Energy Blowup of Sampling-based Approximation Methods


This work considers the problem of approximating continuous functions of finite Dirichlet energy from samples of these functions. It will be shown that there exists no sampling-based method which is able to approximate every function in this space from its samples. Specifically, we show that for any sampling based approximation method, the energy of the approximation tends to infinity as the number of samples is increased for almost every continuous function of finite energy. As an application, we study the problem of solving the Dirichlet problem on a bounded region.

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Authors:
Holger Boche, Volker Pohl
Submitted On:
10 May 2019 - 7:36am
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[1] Holger Boche, Volker Pohl, "Energy Blowup of Sampling-based Approximation Methods", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4307. Accessed: Aug. 23, 2019.
@article{4307-19,
url = {http://sigport.org/4307},
author = {Holger Boche; Volker Pohl },
publisher = {IEEE SigPort},
title = {Energy Blowup of Sampling-based Approximation Methods},
year = {2019} }
TY - EJOUR
T1 - Energy Blowup of Sampling-based Approximation Methods
AU - Holger Boche; Volker Pohl
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4307
ER -
Holger Boche, Volker Pohl. (2019). Energy Blowup of Sampling-based Approximation Methods. IEEE SigPort. http://sigport.org/4307
Holger Boche, Volker Pohl, 2019. Energy Blowup of Sampling-based Approximation Methods. Available at: http://sigport.org/4307.
Holger Boche, Volker Pohl. (2019). "Energy Blowup of Sampling-based Approximation Methods." Web.
1. Holger Boche, Volker Pohl. Energy Blowup of Sampling-based Approximation Methods [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4307

DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS


An underdetermined multi-measurement vector linear regression problem is considered where the parameter matrix is row-sparse and where an additional constraint fixes the number of nonzero elements in the active rows. Even if this additional constraint offers side structure information that could be exploited to improve the estimation accuracy, it is highly nonconvex and must be dealt with with caution. A detection algorithm is proposed that capitalizes on compressed sensing results and on the generalized distributive law (message passing on factor graphs).

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Authors:
David Gregoratti, Carlos Buelga, Xavier Mestre
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9 May 2019 - 5:14am
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[1] David Gregoratti, Carlos Buelga, Xavier Mestre, "DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4175. Accessed: Aug. 23, 2019.
@article{4175-19,
url = {http://sigport.org/4175},
author = {David Gregoratti; Carlos Buelga; Xavier Mestre },
publisher = {IEEE SigPort},
title = {DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS},
year = {2019} }
TY - EJOUR
T1 - DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS
AU - David Gregoratti; Carlos Buelga; Xavier Mestre
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4175
ER -
David Gregoratti, Carlos Buelga, Xavier Mestre. (2019). DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS. IEEE SigPort. http://sigport.org/4175
David Gregoratti, Carlos Buelga, Xavier Mestre, 2019. DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS. Available at: http://sigport.org/4175.
David Gregoratti, Carlos Buelga, Xavier Mestre. (2019). "DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS." Web.
1. David Gregoratti, Carlos Buelga, Xavier Mestre. DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4175

FRI MODELLING OF FOURIER DESCRIPTORS


Fourier descriptors are used to parametrically represent closed contours. In practice, a finite set of Fourier descriptors can model a large class of smooth contours. In this paper, we propose a method for estimating the Fourier descriptors of a given contour from its partial samples. We take a sampling-theoretic approach to model the x and y coordinate functions of the shape and express them as a sum of weighted complex exponentials, which belong to the class of finite-rate-of-innovation (FRI) signals. The weights represent the Fourier descriptors of the shape.

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Authors:
Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula
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9 May 2019 - 4:42am
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[1] Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula, "FRI MODELLING OF FOURIER DESCRIPTORS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4169. Accessed: Aug. 23, 2019.
@article{4169-19,
url = {http://sigport.org/4169},
author = {Abijith Jagannath Kamath; Sunil Rudresh; Chandra Sekhar Seelamantula },
publisher = {IEEE SigPort},
title = {FRI MODELLING OF FOURIER DESCRIPTORS},
year = {2019} }
TY - EJOUR
T1 - FRI MODELLING OF FOURIER DESCRIPTORS
AU - Abijith Jagannath Kamath; Sunil Rudresh; Chandra Sekhar Seelamantula
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4169
ER -
Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula. (2019). FRI MODELLING OF FOURIER DESCRIPTORS. IEEE SigPort. http://sigport.org/4169
Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula, 2019. FRI MODELLING OF FOURIER DESCRIPTORS. Available at: http://sigport.org/4169.
Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula. (2019). "FRI MODELLING OF FOURIER DESCRIPTORS." Web.
1. Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula. FRI MODELLING OF FOURIER DESCRIPTORS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4169

Analytic Properties of Downsampling for Bandlimited Signals

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Authors:
Holger Boche, Ullrich J. Mönich
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9 May 2019 - 4:32am
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[1] Holger Boche, Ullrich J. Mönich, "Analytic Properties of Downsampling for Bandlimited Signals", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4168. Accessed: Aug. 23, 2019.
@article{4168-19,
url = {http://sigport.org/4168},
author = {Holger Boche; Ullrich J. Mönich },
publisher = {IEEE SigPort},
title = {Analytic Properties of Downsampling for Bandlimited Signals},
year = {2019} }
TY - EJOUR
T1 - Analytic Properties of Downsampling for Bandlimited Signals
AU - Holger Boche; Ullrich J. Mönich
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4168
ER -
Holger Boche, Ullrich J. Mönich. (2019). Analytic Properties of Downsampling for Bandlimited Signals. IEEE SigPort. http://sigport.org/4168
Holger Boche, Ullrich J. Mönich, 2019. Analytic Properties of Downsampling for Bandlimited Signals. Available at: http://sigport.org/4168.
Holger Boche, Ullrich J. Mönich. (2019). "Analytic Properties of Downsampling for Bandlimited Signals." Web.
1. Holger Boche, Ullrich J. Mönich. Analytic Properties of Downsampling for Bandlimited Signals [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4168

ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY


We present a new tomography-based anomaly mapping algorithm for composite structures. The system consists of an array of piezoelectric transducers which sequentially excites the structure and collects the resulting waveform at the remaining transducers. Anomaly indices computed from the sensor waveforms are fed as input to the mapping algorithm. The output of the algorithm is a color map indicating the outline of damage on the structure when present.

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Authors:
Geethu Joseph, Ahmad B. Zoubi, Chandra R. Murthy, V. John Mathews
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9 May 2019 - 12:55am
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[1] Geethu Joseph, Ahmad B. Zoubi, Chandra R. Murthy, V. John Mathews, "ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4148. Accessed: Aug. 23, 2019.
@article{4148-19,
url = {http://sigport.org/4148},
author = {Geethu Joseph; Ahmad B. Zoubi; Chandra R. Murthy; V. John Mathews },
publisher = {IEEE SigPort},
title = {ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY},
year = {2019} }
TY - EJOUR
T1 - ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY
AU - Geethu Joseph; Ahmad B. Zoubi; Chandra R. Murthy; V. John Mathews
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4148
ER -
Geethu Joseph, Ahmad B. Zoubi, Chandra R. Murthy, V. John Mathews. (2019). ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY. IEEE SigPort. http://sigport.org/4148
Geethu Joseph, Ahmad B. Zoubi, Chandra R. Murthy, V. John Mathews, 2019. ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY. Available at: http://sigport.org/4148.
Geethu Joseph, Ahmad B. Zoubi, Chandra R. Murthy, V. John Mathews. (2019). "ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY." Web.
1. Geethu Joseph, Ahmad B. Zoubi, Chandra R. Murthy, V. John Mathews. ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4148

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