Sorry, you need to enable JavaScript to visit this website.

Sampling and Reconstruction

Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling


This paper investigates the delay-Doppler estimation problem of a pulse-Doppler radar which samples and quantizes the noisy echo signals to one-bit measurements.By applying a multichannel one-bit sampling scheme, we formulate the delay-Doppler estimation as a structured low-rank matrix recovery problem.Then the one-bit atomic norm soft-thresholding method is proposed to recover the low-rank matrix, in which a surrogate matrix is properly designed to evaluate the proximity of the recovered data to the sampled one.With the recovered low-rank matrix, the delays and Doppler frequencies can be d

Paper Details

Authors:
Feng Xi; Shengyao Chen
Submitted On:
4 July 2018 - 10:53pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

SAM2018_Poster.pdf

(7 downloads)

Keywords

Subscribe

[1] Feng Xi; Shengyao Chen, "Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3352. Accessed: Jul. 16, 2018.
@article{3352-18,
url = {http://sigport.org/3352},
author = {Feng Xi; Shengyao Chen },
publisher = {IEEE SigPort},
title = {Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling},
year = {2018} }
TY - EJOUR
T1 - Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling
AU - Feng Xi; Shengyao Chen
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3352
ER -
Feng Xi; Shengyao Chen. (2018). Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling. IEEE SigPort. http://sigport.org/3352
Feng Xi; Shengyao Chen, 2018. Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling. Available at: http://sigport.org/3352.
Feng Xi; Shengyao Chen. (2018). "Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling." Web.
1. Feng Xi; Shengyao Chen. Super-Resolution Pulse-Doppler Radar Sensing via One-Bit Sampling [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3352

Non-negative Super-resolution is Stable


We consider the problem of localizing point sources on an interval from possibly noisy measurements. In the absence of noise, we show that measurements from Chebyshev sys- tems are an injective map for non-negative sparse measures, and therefore non-negativity is sufficient to ensure unique- ness for sparse measures. Moreover, we characterize non- negative solutions from inexact measurements and show that any non-negative solution consistent with the measurements is proportionally close to the solution of the system with ex- act measurements.

poster.pdf

PDF icon poster.pdf (26 downloads)

Paper Details

Authors:
Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi
Submitted On:
29 May 2018 - 7:34am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

poster.pdf

(26 downloads)

Keywords

Subscribe

[1] Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi, "Non-negative Super-resolution is Stable", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3212. Accessed: Jul. 16, 2018.
@article{3212-18,
url = {http://sigport.org/3212},
author = {Armin Eftekhari; Jared Tanner; Andrew Thompson; Bogdan Toader; Hemant Tyagi },
publisher = {IEEE SigPort},
title = {Non-negative Super-resolution is Stable},
year = {2018} }
TY - EJOUR
T1 - Non-negative Super-resolution is Stable
AU - Armin Eftekhari; Jared Tanner; Andrew Thompson; Bogdan Toader; Hemant Tyagi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3212
ER -
Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi. (2018). Non-negative Super-resolution is Stable. IEEE SigPort. http://sigport.org/3212
Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi, 2018. Non-negative Super-resolution is Stable. Available at: http://sigport.org/3212.
Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi. (2018). "Non-negative Super-resolution is Stable." Web.
1. Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi. Non-negative Super-resolution is Stable [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3212

Unlimited Sampling of Sparse Signals


In a recent paper [1], we introduced the concept of “Unlimited Sampling”. This unique approach circumvents the clipping or saturation problem in conventional analog-to-digital converters (ADCs) by considering a radically different ADC architecture which resets the input voltage before saturation. Such ADCs, also known as Self-Reset ADCs (SR-ADCs), allow for sensing modulo samples.

Paper Details

Authors:
Felix Krahmer, Ramesh Raskar
Submitted On:
30 April 2018 - 2:45am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

AB_ICASSP 2018.pdf

(59 downloads)

Keywords

Subscribe

[1] Felix Krahmer, Ramesh Raskar, "Unlimited Sampling of Sparse Signals", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3188. Accessed: Jul. 16, 2018.
@article{3188-18,
url = {http://sigport.org/3188},
author = {Felix Krahmer; Ramesh Raskar },
publisher = {IEEE SigPort},
title = {Unlimited Sampling of Sparse Signals},
year = {2018} }
TY - EJOUR
T1 - Unlimited Sampling of Sparse Signals
AU - Felix Krahmer; Ramesh Raskar
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3188
ER -
Felix Krahmer, Ramesh Raskar. (2018). Unlimited Sampling of Sparse Signals. IEEE SigPort. http://sigport.org/3188
Felix Krahmer, Ramesh Raskar, 2018. Unlimited Sampling of Sparse Signals. Available at: http://sigport.org/3188.
Felix Krahmer, Ramesh Raskar. (2018). "Unlimited Sampling of Sparse Signals." Web.
1. Felix Krahmer, Ramesh Raskar. Unlimited Sampling of Sparse Signals [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3188

ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES

Paper Details

Authors:
Alihan Kaplan, Volker Pohl, Dae Gwan Lee
Submitted On:
24 April 2018 - 9:19am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Talk_StRIP-Kronecker.pdf

(46 downloads)

Keywords

Subscribe

[1] Alihan Kaplan, Volker Pohl, Dae Gwan Lee, "ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3149. Accessed: Jul. 16, 2018.
@article{3149-18,
url = {http://sigport.org/3149},
author = {Alihan Kaplan; Volker Pohl; Dae Gwan Lee },
publisher = {IEEE SigPort},
title = {ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES},
year = {2018} }
TY - EJOUR
T1 - ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES
AU - Alihan Kaplan; Volker Pohl; Dae Gwan Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3149
ER -
Alihan Kaplan, Volker Pohl, Dae Gwan Lee. (2018). ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES. IEEE SigPort. http://sigport.org/3149
Alihan Kaplan, Volker Pohl, Dae Gwan Lee, 2018. ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES. Available at: http://sigport.org/3149.
Alihan Kaplan, Volker Pohl, Dae Gwan Lee. (2018). "ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES." Web.
1. Alihan Kaplan, Volker Pohl, Dae Gwan Lee. ON COMPRESSIVE SENSING OF SPARSE COVARIANCE MATRICES USING DETERMINISTIC SENSING MATRICES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3149

On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems

Paper Details

Authors:
Oguzhan Teke, P. P. Vaidyanathan
Submitted On:
22 April 2018 - 12:28am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

icassp_poster.pdf

(43 downloads)

Keywords

Subscribe

[1] Oguzhan Teke, P. P. Vaidyanathan, "On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3127. Accessed: Jul. 16, 2018.
@article{3127-18,
url = {http://sigport.org/3127},
author = {Oguzhan Teke; P. P. Vaidyanathan },
publisher = {IEEE SigPort},
title = {On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems},
year = {2018} }
TY - EJOUR
T1 - On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems
AU - Oguzhan Teke; P. P. Vaidyanathan
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3127
ER -
Oguzhan Teke, P. P. Vaidyanathan. (2018). On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems. IEEE SigPort. http://sigport.org/3127
Oguzhan Teke, P. P. Vaidyanathan, 2018. On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems. Available at: http://sigport.org/3127.
Oguzhan Teke, P. P. Vaidyanathan. (2018). "On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems." Web.
1. Oguzhan Teke, P. P. Vaidyanathan. On the Role of the Bounded Lemma in the SDP Formulation of Atomic Norm Problems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3127

Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors


Sampling of smooth spatiotemporally varying fields is a well studied topic in the literature. Classical approach assumes that the field is observed at known sampling locations and known timestamps ensuring field reconstruction. In a first, in this work the sampling and reconstruction of a spatiotemporal bandlimited field is addressed, where the samples are obtained by a location-unaware, time-unaware mobile sensor. The spatial and temporal order of samples is assumed to be known. It is assumed that the field samples are affected by measurement-noise.

Paper Details

Authors:
Animesh Kumar
Submitted On:
20 April 2018 - 6:42pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Sensors Poster

(40 downloads)

Keywords

Subscribe

[1] Animesh Kumar, "Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3116. Accessed: Jul. 16, 2018.
@article{3116-18,
url = {http://sigport.org/3116},
author = {Animesh Kumar },
publisher = {IEEE SigPort},
title = {Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors},
year = {2018} }
TY - EJOUR
T1 - Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors
AU - Animesh Kumar
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3116
ER -
Animesh Kumar. (2018). Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. IEEE SigPort. http://sigport.org/3116
Animesh Kumar, 2018. Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. Available at: http://sigport.org/3116.
Animesh Kumar. (2018). "Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors." Web.
1. Animesh Kumar. Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3116

On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization


Active graph-based semi-supervised learning (AG-SSL) aims to select a small set of labeled examples and utilize their graph-based relation to other unlabeled examples to aid in machine learning tasks. It is also closely related to the sampling theory in graph signal processing. In this paper, we revisit the original formulation of graph-based SSL and prove the supermodularity of an AG-SSL objective function under a broad class of regularization functions parameterized by Stieltjes matrices.

Paper Details

Authors:
Pin-Yu Chen, Dennis Wei
Submitted On:
20 April 2018 - 12:31am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster

(50 downloads)

Keywords

Subscribe

[1] Pin-Yu Chen, Dennis Wei, "On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3067. Accessed: Jul. 16, 2018.
@article{3067-18,
url = {http://sigport.org/3067},
author = {Pin-Yu Chen; Dennis Wei },
publisher = {IEEE SigPort},
title = {On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization},
year = {2018} }
TY - EJOUR
T1 - On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization
AU - Pin-Yu Chen; Dennis Wei
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3067
ER -
Pin-Yu Chen, Dennis Wei. (2018). On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization. IEEE SigPort. http://sigport.org/3067
Pin-Yu Chen, Dennis Wei, 2018. On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization. Available at: http://sigport.org/3067.
Pin-Yu Chen, Dennis Wei. (2018). "On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization." Web.
1. Pin-Yu Chen, Dennis Wei. On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3067

SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION


In this work, we introduce subset selection strategies for signal reconstruction based on kernel methods, particularly for the case of kernel-ridge regression. Typically, these methods are employed for exploiting known prior information about the structure of the signal of interest. We use the mean squared error and a scalar function of the covariance matrix of the kernel regressors to establish metrics for the subset selection problem. Despite the NP-hard nature of the problem, we introduce efficient algorithms for finding approximate solutions for the proposed metrics.

Paper Details

Authors:
Mario Coutino, Sundeep Chepuri, Geert Leus
Submitted On:
19 April 2018 - 10:49pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ppt_icassp2018_kernel.pdf

(54 downloads)

Keywords

Subscribe

[1] Mario Coutino, Sundeep Chepuri, Geert Leus, "SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3060. Accessed: Jul. 16, 2018.
@article{3060-18,
url = {http://sigport.org/3060},
author = {Mario Coutino; Sundeep Chepuri; Geert Leus },
publisher = {IEEE SigPort},
title = {SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION},
year = {2018} }
TY - EJOUR
T1 - SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION
AU - Mario Coutino; Sundeep Chepuri; Geert Leus
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3060
ER -
Mario Coutino, Sundeep Chepuri, Geert Leus. (2018). SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION. IEEE SigPort. http://sigport.org/3060
Mario Coutino, Sundeep Chepuri, Geert Leus, 2018. SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION. Available at: http://sigport.org/3060.
Mario Coutino, Sundeep Chepuri, Geert Leus. (2018). "SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION." Web.
1. Mario Coutino, Sundeep Chepuri, Geert Leus. SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3060

Phase Retrieval via Smoothing Projected Gradient Method

Paper Details

Authors:
Submitted On:
14 April 2018 - 11:25pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

presentation.pdf

(582 downloads)

Keywords

Subscribe

[1] , "Phase Retrieval via Smoothing Projected Gradient Method", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2871. Accessed: Jul. 16, 2018.
@article{2871-18,
url = {http://sigport.org/2871},
author = { },
publisher = {IEEE SigPort},
title = {Phase Retrieval via Smoothing Projected Gradient Method},
year = {2018} }
TY - EJOUR
T1 - Phase Retrieval via Smoothing Projected Gradient Method
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2871
ER -
. (2018). Phase Retrieval via Smoothing Projected Gradient Method. IEEE SigPort. http://sigport.org/2871
, 2018. Phase Retrieval via Smoothing Projected Gradient Method. Available at: http://sigport.org/2871.
. (2018). "Phase Retrieval via Smoothing Projected Gradient Method." Web.
1. . Phase Retrieval via Smoothing Projected Gradient Method [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2871

Recovery of noisy points on band-limited surfaces


We introduce a continuous domain framework for the recovery of points on a surface in high dimensional space, represented as the zero-level set of a bandlimited function. We show that the exponential maps of the points on the surface satisfy annihilation relations, implying that they lie in a finite dimensional subspace. The subspace properties are used to derive sampling conditions, which will guarantee the perfect recovery of the surface from finite number of points.

Paper Details

Authors:
Sunrita Poddar, Mathews Jacob
Submitted On:
14 April 2018 - 7:41pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

icasspSlides

(46 downloads)

Keywords

Subscribe

[1] Sunrita Poddar, Mathews Jacob, "Recovery of noisy points on band-limited surfaces", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2859. Accessed: Jul. 16, 2018.
@article{2859-18,
url = {http://sigport.org/2859},
author = {Sunrita Poddar; Mathews Jacob },
publisher = {IEEE SigPort},
title = {Recovery of noisy points on band-limited surfaces},
year = {2018} }
TY - EJOUR
T1 - Recovery of noisy points on band-limited surfaces
AU - Sunrita Poddar; Mathews Jacob
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2859
ER -
Sunrita Poddar, Mathews Jacob. (2018). Recovery of noisy points on band-limited surfaces. IEEE SigPort. http://sigport.org/2859
Sunrita Poddar, Mathews Jacob, 2018. Recovery of noisy points on band-limited surfaces. Available at: http://sigport.org/2859.
Sunrita Poddar, Mathews Jacob. (2018). "Recovery of noisy points on band-limited surfaces." Web.
1. Sunrita Poddar, Mathews Jacob. Recovery of noisy points on band-limited surfaces [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2859

Pages