Fast L0-based sparse signal recovery Y Zhang, N Kingsbury IEEE International Workshop on Machine Learning for Signal Processing, 403-408, 2010 | 19 | 2010 |
Blind wavelet estimation using a zero-lag slice of the fourth-order statistics W Lu, Y Zhang, S Zhang, H Xiao Journal of Geophysics and Engineering 4 (1), 24-30, 2007 | 17 | 2007 |
Improved bounds for subband-adaptive iterative shrinkage/thresholding algorithms Y Zhang, N Kingsbury IEEE Transactions on Image Processing 2 (4), 1373 - 1381, 2013 | 16 | 2013 |
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization Y Zhang, N Kingsbury IEEE International Conference on Image Processing, 1685-1688, 2010 | 14 | 2010 |
Image deconvolution using a gaussian scale mixtures model to approximate the wavelet sparseness constraint Y Zhang, N Kingsbury IEEE International Conference on Acoustics, Speech and Signal Processing …, 2009 | 14 | 2009 |
A Bayesian wavelet-based multidimensional deconvolution with sub-band emphasis Y Zhang, N Kingsbury International Conference of the IEEE Engineering in Medicine and Biology …, 2008 | 9 | 2008 |
On the reconstruction of wavelet-sparse signals from partial Fourier information Y Zhang, PL Dragotti IEEE Signal Processing Letters 22 (9), 1234 - 1238, 2015 | 8 | 2015 |
Sampling streams of pulses with unknown shapes Y Zhang, PL Dragotti IEEE Transactions on Signal Processing 64 (20), 5450-5465, 2016 | 6 | 2016 |
Reply to Comment on:‘Non‐minimum‐phase wavelet estimation using second‐and third‐order moments’ by Wenkai Lu W Lu, Y Zhang Geophysical Prospecting 54 (4), 489-490, 2006 | 2 | 2006 |