| Online prediction of time series data with kernels C Richard, JCM Bermudez, P Honeine IEEE Transactions on Signal Processing 57 (3), 1058-1067, 2008 | 513 | 2008 |
| Nonlinear unmixing of hyperspectral images: Models and algorithms N Dobigeon, JY Tourneret, C Richard, JCM Bermudez, S McLaughlin, ... IEEE Signal processing magazine 31 (1), 82-94, 2013 | 455 | 2013 |
| An affine combination of two LMS adaptive filters—transient mean-square analysis NJ Bershad, JCM Bermudez, JY Tourneret IEEE Transactions on Signal Processing 56 (5), 1853-1864, 2008 | 187 | 2008 |
| Mean weight behavior of the filtered-X LMS algorithm OJ Tobias, JCM Bermudez, NJ Bershad IEEE Transactions on Signal Processing 48 (4), 1061-1075, 2000 | 152 | 2000 |
| A statistical analysis of the affine projection algorithm for unity step size and autoregressive inputs SJM de Almeida, JCM Bermudez, NJ Bershad, MH Costa IEEE Transactions on Circuits and Systems I: Regular Papers 52 (7), 1394-1405, 2005 | 110 | 2005 |
| Stochastic behavior analysis of the Gaussian kernel least-mean-square algorithm WD Parreira, JCM Bermudez, C Richard, JY Tourneret IEEE Transactions on Signal Processing 60 (5), 2208-2222, 2012 | 105 | 2012 |
| An improved statistical analysis of the least mean fourth (LMF) adaptive algorithm PI Hubscher, JCM Bermudez IEEE transactions on Signal Processing 51 (3), 664-671, 2003 | 99 | 2003 |
| A mean-square stability analysis of the least mean fourth adaptive algorithm PIÁ Hubscher, JCM Bermudez, VH Nascimento IEEE Transactions on Signal Processing 55 (8), 4018-4028, 2007 | 95 | 2007 |
| Nonnegative least-mean-square algorithm J Chen, C Richard, JCM Bermudez, P Honeine IEEE Transactions on Signal Processing 59 (11), 5225-5235, 2011 | 83 | 2011 |
| Super-resolution for hyperspectral and multispectral image fusion accounting for seasonal spectral variability RA Borsoi, T Imbiriba, JCM Bermudez IEEE transactions on image processing 29, 116-127, 2019 | 80 | 2019 |
| Stochastic analysis of the filtered-X LMS algorithm in systems with nonlinear secondary paths MH Costa, JCM Bermudez, NJ Bershad IEEE Transactions on Signal Processing 50 (6), 1327-1342, 2002 | 79 | 2002 |
| A noise resilient variable step-size LMS algorithm MH Costa, JCM Bermudez Signal Processing 88 (3), 733-748, 2008 | 78 | 2008 |
| A fast multiscale spatial regularization for sparse hyperspectral unmixing RA Borsoi, T Imbiriba, JCM Bermudez, C Richard IEEE Geoscience and Remote Sensing Letters 16 (4), 598-602, 2018 | 68 | 2018 |
| An improved model for the normalized LMS algorithm with Gaussian inputs and large number of coefficients MH Costa, JCM Bermudez 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 67 | 2002 |
| Spectral variability in hyperspectral data unmixing: A comprehensive review RA Borsoi, T Imbiriba, JCM Bermudez, C Richard, J Chanussot, ... IEEE geoscience and remote sensing magazine 9 (4), 223-270, 2021 | 64 | 2021 |
| Deep generative endmember modeling: An application to unsupervised spectral unmixing RA Borsoi, T Imbiriba, JCM Bermudez IEEE Transactions on Computational Imaging 6, 374-384, 2019 | 60 | 2019 |
| Probability of divergence for the least-mean fourth algorithm VH Nascimento, JCM Bermudez IEEE transactions on signal processing 54 (4), 1376-1385, 2006 | 60 | 2006 |
| Stochastic analysis of the LMS and NLMS algorithms for cyclostationary white Gaussian inputs NJ Bershad, E Eweda, JCM Bermudez IEEE transactions on signal processing 62 (9), 2238-2249, 2014 | 56 | 2014 |
| On-line nonlinear sparse approximation of functions P Honeine, C Richard, JCM Bermudez 2007 IEEE International Symposium on Information Theory, 956-960, 2007 | 56 | 2007 |
| Generalized linear mixing model accounting for endmember variability T Imbiriba, RA Borsoi, JCM Bermudez 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 55 | 2018 |
Marcio Holsbach CostaUniversidade Federal de Santa Catarina在 eel.ufsc.br 的电子邮件经过验证
