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

Multi-channel Signal Processing

ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation


This paper is concerned with estimating unknown multidimensional frequencies from linear compressive measurements. This is accomplished by employing the recently proposed atomic norm minimization framework to recover these frequencies under a sparsity prior without imposing any grid restriction on these frequencies. To this end, we give a rigorous derivation of an iterative scheme called alternating direction of multipliers method, which is able to incorporate multiple compressive snapshots from a multi-dimensional superposition of complex harmonics.

Paper Details

Authors:
Sebastian Semper, Florian Roemer
Submitted On:
20 May 2019 - 8:31am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Slides for the presentation at ICASSP 2019 (SAM-L1.3)

(42)

Subscribe

[1] Sebastian Semper, Florian Roemer, "ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4553. Accessed: Sep. 20, 2019.
@article{4553-19,
url = {http://sigport.org/4553},
author = {Sebastian Semper; Florian Roemer },
publisher = {IEEE SigPort},
title = {ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation},
year = {2019} }
TY - EJOUR
T1 - ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation
AU - Sebastian Semper; Florian Roemer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4553
ER -
Sebastian Semper, Florian Roemer. (2019). ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation. IEEE SigPort. http://sigport.org/4553
Sebastian Semper, Florian Roemer, 2019. ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation. Available at: http://sigport.org/4553.
Sebastian Semper, Florian Roemer. (2019). "ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation." Web.
1. Sebastian Semper, Florian Roemer. ADMM for ND Line Spectral Estimation using Grid-Free Compressive Sensing from Multiple Measurements with Applications to DOA Estimation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4553

Learning Overcomplete Dictionaries from Markovian Data

Paper Details

Authors:
Submitted On:
30 June 2018 - 4:35am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

LEARNING OVERCOMPLETE DICTIONARIES FROM MARKOVIAN DATA

(109)

Subscribe

[1] , "Learning Overcomplete Dictionaries from Markovian Data", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3344. Accessed: Sep. 20, 2019.
@article{3344-18,
url = {http://sigport.org/3344},
author = { },
publisher = {IEEE SigPort},
title = {Learning Overcomplete Dictionaries from Markovian Data},
year = {2018} }
TY - EJOUR
T1 - Learning Overcomplete Dictionaries from Markovian Data
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3344
ER -
. (2018). Learning Overcomplete Dictionaries from Markovian Data. IEEE SigPort. http://sigport.org/3344
, 2018. Learning Overcomplete Dictionaries from Markovian Data. Available at: http://sigport.org/3344.
. (2018). "Learning Overcomplete Dictionaries from Markovian Data." Web.
1. . Learning Overcomplete Dictionaries from Markovian Data [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3344

Unmixing of Absence Epileptic Seizures in GAERS

Paper Details

Authors:
Submitted On:
30 June 2018 - 4:37am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Unmixing of Absence Epileptic Seizures in GAERS

(96)

Subscribe

[1] , "Unmixing of Absence Epileptic Seizures in GAERS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3343. Accessed: Sep. 20, 2019.
@article{3343-18,
url = {http://sigport.org/3343},
author = { },
publisher = {IEEE SigPort},
title = {Unmixing of Absence Epileptic Seizures in GAERS},
year = {2018} }
TY - EJOUR
T1 - Unmixing of Absence Epileptic Seizures in GAERS
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3343
ER -
. (2018). Unmixing of Absence Epileptic Seizures in GAERS. IEEE SigPort. http://sigport.org/3343
, 2018. Unmixing of Absence Epileptic Seizures in GAERS. Available at: http://sigport.org/3343.
. (2018). "Unmixing of Absence Epileptic Seizures in GAERS." Web.
1. . Unmixing of Absence Epileptic Seizures in GAERS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3343

Revisiting the Kronecker Array Transform


It is known that the calculation of a matrix–vector product can be accelerated if this matrix can be recast (or approximated) by the Kronecker product of two smaller matrices. In array signal processing, the manifold matrix can be described as the Kronecker product of two other matrices if the sensor array displays a separable geometry. This forms the basis of the Kronecker Array Transform (KAT), which was previously introduced to speed up the calculations of acoustic images with microphone arrays.

Paper Details

Authors:
Bruno S, Masiero, Vítor H. Nascimento
Submitted On:
17 April 2018 - 11:55am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP2018.pdf

(216)

Subscribe

[1] Bruno S, Masiero, Vítor H. Nascimento, "Revisiting the Kronecker Array Transform", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2777. Accessed: Sep. 20, 2019.
@article{2777-18,
url = {http://sigport.org/2777},
author = {Bruno S; Masiero; Vítor H. Nascimento },
publisher = {IEEE SigPort},
title = {Revisiting the Kronecker Array Transform},
year = {2018} }
TY - EJOUR
T1 - Revisiting the Kronecker Array Transform
AU - Bruno S; Masiero; Vítor H. Nascimento
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2777
ER -
Bruno S, Masiero, Vítor H. Nascimento. (2018). Revisiting the Kronecker Array Transform. IEEE SigPort. http://sigport.org/2777
Bruno S, Masiero, Vítor H. Nascimento, 2018. Revisiting the Kronecker Array Transform. Available at: http://sigport.org/2777.
Bruno S, Masiero, Vítor H. Nascimento. (2018). "Revisiting the Kronecker Array Transform." Web.
1. Bruno S, Masiero, Vítor H. Nascimento. Revisiting the Kronecker Array Transform [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2777

Channel Dependent Mutual Information in Index Modulations

Paper Details

Authors:
Pol Henarejos, Ana I. Pérez-Neira, Anxo Tato, Carlos Mosquera
Submitted On:
13 April 2018 - 4:05am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP18_Slides_AP.pdf

(142)

Subscribe

[1] Pol Henarejos, Ana I. Pérez-Neira, Anxo Tato, Carlos Mosquera, "Channel Dependent Mutual Information in Index Modulations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2648. Accessed: Sep. 20, 2019.
@article{2648-18,
url = {http://sigport.org/2648},
author = {Pol Henarejos; Ana I. Pérez-Neira; Anxo Tato; Carlos Mosquera },
publisher = {IEEE SigPort},
title = {Channel Dependent Mutual Information in Index Modulations},
year = {2018} }
TY - EJOUR
T1 - Channel Dependent Mutual Information in Index Modulations
AU - Pol Henarejos; Ana I. Pérez-Neira; Anxo Tato; Carlos Mosquera
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2648
ER -
Pol Henarejos, Ana I. Pérez-Neira, Anxo Tato, Carlos Mosquera. (2018). Channel Dependent Mutual Information in Index Modulations. IEEE SigPort. http://sigport.org/2648
Pol Henarejos, Ana I. Pérez-Neira, Anxo Tato, Carlos Mosquera, 2018. Channel Dependent Mutual Information in Index Modulations. Available at: http://sigport.org/2648.
Pol Henarejos, Ana I. Pérez-Neira, Anxo Tato, Carlos Mosquera. (2018). "Channel Dependent Mutual Information in Index Modulations." Web.
1. Pol Henarejos, Ana I. Pérez-Neira, Anxo Tato, Carlos Mosquera. Channel Dependent Mutual Information in Index Modulations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2648

Atomic Norm Minimization for Modal Analysis with Random Spatial Compression


Identifying characteristic vibrational modes and frequencies is of great importance for monitoring the health of structures such as buildings and bridges. In this work, we address the problem of estimating the modal parameters of a structure from small amounts of vibrational data collected from wireless sensors distributed on the structure. We consider a randomized spatial compression scheme for minimizing the amount of data that is collected and transmitted by the sensors.

Paper Details

Authors:
Shuang Li, Dehui Yang, Michael Wakin
Submitted On:
12 March 2017 - 4:50pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP2017.pdf

(428)

Subscribe

[1] Shuang Li, Dehui Yang, Michael Wakin, "Atomic Norm Minimization for Modal Analysis with Random Spatial Compression", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1750. Accessed: Sep. 20, 2019.
@article{1750-17,
url = {http://sigport.org/1750},
author = {Shuang Li; Dehui Yang; Michael Wakin },
publisher = {IEEE SigPort},
title = {Atomic Norm Minimization for Modal Analysis with Random Spatial Compression},
year = {2017} }
TY - EJOUR
T1 - Atomic Norm Minimization for Modal Analysis with Random Spatial Compression
AU - Shuang Li; Dehui Yang; Michael Wakin
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1750
ER -
Shuang Li, Dehui Yang, Michael Wakin. (2017). Atomic Norm Minimization for Modal Analysis with Random Spatial Compression. IEEE SigPort. http://sigport.org/1750
Shuang Li, Dehui Yang, Michael Wakin, 2017. Atomic Norm Minimization for Modal Analysis with Random Spatial Compression. Available at: http://sigport.org/1750.
Shuang Li, Dehui Yang, Michael Wakin. (2017). "Atomic Norm Minimization for Modal Analysis with Random Spatial Compression." Web.
1. Shuang Li, Dehui Yang, Michael Wakin. Atomic Norm Minimization for Modal Analysis with Random Spatial Compression [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1750

Oversampling-based algorithm for efficient RF interference excision in SIMO systems

Paper Details

Authors:
Submitted On:
17 December 2016 - 1:40am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP'16_poster_final.pdf

(48)

Subscribe

[1] , "Oversampling-based algorithm for efficient RF interference excision in SIMO systems ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1441. Accessed: Sep. 20, 2019.
@article{1441-16,
url = {http://sigport.org/1441},
author = { },
publisher = {IEEE SigPort},
title = {Oversampling-based algorithm for efficient RF interference excision in SIMO systems },
year = {2016} }
TY - EJOUR
T1 - Oversampling-based algorithm for efficient RF interference excision in SIMO systems
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1441
ER -
. (2016). Oversampling-based algorithm for efficient RF interference excision in SIMO systems . IEEE SigPort. http://sigport.org/1441
, 2016. Oversampling-based algorithm for efficient RF interference excision in SIMO systems . Available at: http://sigport.org/1441.
. (2016). "Oversampling-based algorithm for efficient RF interference excision in SIMO systems ." Web.
1. . Oversampling-based algorithm for efficient RF interference excision in SIMO systems [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1441

Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective

Paper Details

Authors:
Lei Wang, Yimin Liu
Submitted On:
7 December 2016 - 12:36am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_GlobalSIP_Wanglei.pdf

(342)

Subscribe

[1] Lei Wang, Yimin Liu, "Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1396. Accessed: Sep. 20, 2019.
@article{1396-16,
url = {http://sigport.org/1396},
author = {Lei Wang; Yimin Liu },
publisher = {IEEE SigPort},
title = {Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective},
year = {2016} }
TY - EJOUR
T1 - Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective
AU - Lei Wang; Yimin Liu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1396
ER -
Lei Wang, Yimin Liu. (2016). Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective. IEEE SigPort. http://sigport.org/1396
Lei Wang, Yimin Liu, 2016. Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective. Available at: http://sigport.org/1396.
Lei Wang, Yimin Liu. (2016). "Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective." Web.
1. Lei Wang, Yimin Liu. Atomic Norm Minimization Based Range-Direction Indication for Frequency Diverse Array: A Matrix Completion Perspective [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1396

Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision


This work investigates the parameter estimation performance of super-resolution line spectral estimation using atomic norm minimization. The focus is on analyzing the algorithm's accuracy of inferring the frequencies and complex magnitudes from noisy observations. When the Signal-to-Noise Ratio is reasonably high and the true frequencies are separated by $O(\frac{1}{n})$, the atomic norm estimator is shown to localize the correct number of frequencies, each within a neighborhood of size $O(\sqrt{\frac{\log n}{n^3}} \sigma)$ of one of the true frequencies.

Paper Details

Authors:
Submitted On:
10 December 2016 - 3:38pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Slides_GlobalSIP.pdf

(412)

Subscribe

[1] , "Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1382. Accessed: Sep. 20, 2019.
@article{1382-16,
url = {http://sigport.org/1382},
author = { },
publisher = {IEEE SigPort},
title = {Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision},
year = {2016} }
TY - EJOUR
T1 - Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1382
ER -
. (2016). Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision. IEEE SigPort. http://sigport.org/1382
, 2016. Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision. Available at: http://sigport.org/1382.
. (2016). "Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision." Web.
1. . Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1382

A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements


We consider the problem of geolocating two unknown co-channel emitters by a cluster of formation-flying satellites using both time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements. As the association between the TDOA/FDOA measurements obtained by each pair of satellites and the corresponding emitters is typically not known, the emitter-measurement association and the emitters' locations need to be jointly estimated. In this paper, we first formulate the joint estimation problem as a mixed integer nonlinear optimization problem.

Paper Details

Authors:
Lizhong Jiang, Anthony Man-Cho So
Submitted On:
23 March 2016 - 8:40pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP2016_Kehu_Yang.pdf

(384)

Subscribe

[1] Lizhong Jiang, Anthony Man-Cho So, "A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1013. Accessed: Sep. 20, 2019.
@article{1013-16,
url = {http://sigport.org/1013},
author = {Lizhong Jiang; Anthony Man-Cho So },
publisher = {IEEE SigPort},
title = {A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements},
year = {2016} }
TY - EJOUR
T1 - A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements
AU - Lizhong Jiang; Anthony Man-Cho So
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1013
ER -
Lizhong Jiang, Anthony Man-Cho So. (2016). A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements. IEEE SigPort. http://sigport.org/1013
Lizhong Jiang, Anthony Man-Cho So, 2016. A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements. Available at: http://sigport.org/1013.
Lizhong Jiang, Anthony Man-Cho So. (2016). "A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements." Web.
1. Lizhong Jiang, Anthony Man-Cho So. A Semidefinite Relaxation Approach to the Geolocation of Two Unknown Co-channel Emitters by a Cluster of Formation-Flying Satellites Using Both TDOA and FDOA Measurements [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1013

Pages