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

Multi-channel Signal Processing

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

(80 downloads)

Keywords

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: Nov. 24, 2017.
@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

(0)

Keywords

Subscribe

[1] , "Oversampling-based algorithm for efficient RF interference excision in SIMO systems ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1441. Accessed: Nov. 24, 2017.
@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

(119 downloads)

Keywords

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: Nov. 24, 2017.
@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

(149 downloads)

Keywords

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: Nov. 24, 2017.
@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

(175 downloads)

Keywords

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: Nov. 24, 2017.
@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

UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM


Hyperspectral unmixing consists in determining the reference spectral
signatures composing a hyperspectral image and their relative
abundance fractions in each pixel. In practice, the identified signatures
may be affected by a significant spectral variability resulting
for instance from the temporal evolution of the imaged scene. This
phenomenon can be accounted for by using a perturbed linear mixing
model. This paper studies an online estimation algorithm for the
parameters of this extended linear mixing model. This algorithm is

Paper Details

Authors:
Nicolas Dobigeon, Jean-Yves Tourneret
Submitted On:
14 March 2016 - 5:32am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

poster_ICASSP_2016.pdf

(179 downloads)

Keywords

Subscribe

[1] Nicolas Dobigeon, Jean-Yves Tourneret, "UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/666. Accessed: Nov. 24, 2017.
@article{666-16,
url = {http://sigport.org/666},
author = {Nicolas Dobigeon; Jean-Yves Tourneret },
publisher = {IEEE SigPort},
title = {UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM},
year = {2016} }
TY - EJOUR
T1 - UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM
AU - Nicolas Dobigeon; Jean-Yves Tourneret
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/666
ER -
Nicolas Dobigeon, Jean-Yves Tourneret. (2016). UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM. IEEE SigPort. http://sigport.org/666
Nicolas Dobigeon, Jean-Yves Tourneret, 2016. UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM. Available at: http://sigport.org/666.
Nicolas Dobigeon, Jean-Yves Tourneret. (2016). "UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM." Web.
1. Nicolas Dobigeon, Jean-Yves Tourneret. UNMIXING MULTITEMPORAL HYPERSPECTRAL IMAGES WITH VARIABILITY: AN ONLINE ALGORITHM [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/666