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Accurate sequential self-localization of sensor nodes in closed-form
Accurate sequential self-localization of sensor nodes in closed-form
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Accurate sequential self-localization of sensor nodes in closed-form

Sun, M. ; Yang, L. ; Ho, K.C.

Signal processing, 2012-12, Vol.92 (12), p.2940-2951 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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2
Active contour model driven by linear speed function for local segmentation with robust initialization and applications in MR brain images
Active contour model driven by linear speed function for local segmentation with robust initialization and applications in MR brain images
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Active contour model driven by linear speed function for local segmentation with robust initialization and applications in MR brain images

Zheng, Qiang ; Dong, Enqing ; Cao, Zhulou ; Sun, Wenyan ; Li, Zhenguo

Signal processing, 2014-04, Vol.97, p.117-133 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
Active contours driven by Gaussian function and adaptive-scale local correntropy-based K-means clustering for fast image segmentation
Active contours driven by Gaussian function and adaptive-scale local correntropy-based K-means clustering for fast image segmentation
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Active contours driven by Gaussian function and adaptive-scale local correntropy-based K-means clustering for fast image segmentation

Song, Yangyang ; Peng, Guohua ; Sun, Dongwei ; Xie, Xiaozhen

Signal processing, 2020-09, Vol.174, p.107625, Article 107625 [Periódico revisado por pares]

Elsevier B.V

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4
Active contours driven by local Gaussian distribution fitting energy
Active contours driven by local Gaussian distribution fitting energy
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Active contours driven by local Gaussian distribution fitting energy

Wang, Li ; He, Lei ; Mishra, Arabinda ; Li, Chunming

Signal processing, 2009-12, Vol.89 (12), p.2435-2447 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation
Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation
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Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation

Ding, Keyan ; Xiao, Linfang ; Weng, Guirong

Signal processing, 2017-05, Vol.134, p.224-233 [Periódico revisado por pares]

Elsevier B.V

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6
Active contours driven by weighted region-scalable fitting energy based on local entropy
Active contours driven by weighted region-scalable fitting energy based on local entropy
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Active contours driven by weighted region-scalable fitting energy based on local entropy

He, Chuanjiang ; Wang, Yan ; Chen, Qiang

Signal processing, 2012-02, Vol.92 (2), p.587-600 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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7
Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling
Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling
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Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling

Spiridonakos, M.D. ; Fassois, S.D.

Signal processing, 2014-03, Vol.96, p.63-79 [Periódico revisado por pares]

Elsevier B.V

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8
Adaptive rate filtering a computationally efficient signal processing approach
Adaptive rate filtering a computationally efficient signal processing approach
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Adaptive rate filtering a computationally efficient signal processing approach

Qaisar, Saeed Mian ; Fesquet, Laurent ; Renaudin, Marc

Signal processing, 2014-01, Vol.94, p.620-630 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Advantages of nonuniform arrays using root-MUSIC
Advantages of nonuniform arrays using root-MUSIC
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Advantages of nonuniform arrays using root-MUSIC

El Kassis, Carine ; Picheral, José ; Mokbel, Chafic

Signal processing, 2010-02, Vol.90 (2), p.689-695 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
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Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit

Tropp, Joel A. ; Gilbert, Anna C. ; Strauss, Martin J.

Signal processing, 2006-03, Vol.86 (3), p.572-588 [Periódico revisado por pares]

Elsevier B.V

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