Dr Yingsong Zhang

Latest Articles

Zhang Y, Dragotti P.L.,2015. Sampling continuous-time wavelet-sparse signal at rate of innovation, in preparation.

Zhang Y, Dragotti P.L., 2015. On the reconstruction of wavelet-sparse signals from partial Fourier information. IEEE Signal Processing Letters, Vol:22, Issue 9, Pages:1234-1238. [Supplementary information.]

Zhang Y, Dragotti P.L., 2014. The Modulated E-spline with Multiple subbands and its application to sampling wavelet-sparse signals. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009). [Slides are available for help.]

All Publications

Zhang Y, Kingsbury N, 2013. Improved bounds for subband-adaptive iterative shrinkage/thresholding algorithms, IEEE Transactions on Image Processing, Vol:22, ISSN:1057-7149, Pages:1373-1381

Zhang Y, Kingsbury N, 2010. Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization, 17th IEEE International Conference on Image Processing (ICIP 2010), Pages: 1685-1688.

Zhang Y, Kingsbury N, 2010. Fast L0-based sparse signal recovery, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), Pages: 403-408.

Zhang Y, Kingsbury N, 2009. Image deconvolution using a Gaussian Scale Mixtures model to approximate the wavelet sparseness constraint, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009), Pages: 681-684.

Zhang Y, Kingsbury N, 2008. A Bayesian wavelet-based multidimensional deconvolution with sub-band emphasis, EMBS 2008, 30th Annual International Conference of the IEEE, Pages: 3024-3027.

Lu W, Zhang Y, Zhang S, et al., 2007, Blind wavelet estimation using a zero-lag slice of the fourth-order statistics, Journal of Geophysics and Engineering, Vol:4, ISSN:1742-2132, Pages:24-30

Lu W, Zhang Y, 2006, Reply to Comment on:‘Non-minimum-phase wavelet estimation using second-and third-order moments’ by Wenkai Lu, Geophysical Prospecting, Vol:54, Pages:489-490

Ph.D. Thesis

Zhang Y, Sparse Reconstrution algorithms and the application in Image processing. Ph.D. Thesis. Hughes Hall and Department of Engineering, University of Cambridge, Sept. 2011.