1522 citations to 10.1109/TIT.2005.860430 (Crossref Cited-By Service)
  1. Prabin Kumar Pandey, Marc Moonen, Luc Deneire, “Sparse approximation based resource allocation in DSL/DMT transceivers with per-tone equalization”, Signal Processing, 95, 2014, 43  crossref
  2. Yuki Itoh, Marco F. Duarte, Mario Parente, “Perfect Recovery Conditions for Non-negative Sparse Modeling”, IEEE Trans. Signal Process., 65, № 1, 2017, 69  crossref
  3. Rémi Cogranne, Florent Retraint, “An Asymptotically Uniformly Most Powerful Test for LSB Matching Detection”, IEEE Trans.Inform.Forensic Secur., 8, № 3, 2013, 464  crossref
  4. Yi Zhang, Hongzheng Li, 2015 7th International Conference on Information Technology in Medicine and Education (ITME), 2015, 683  crossref
  5. O.D. Escoda, L. Granai, M. Lemay, J.M. Hernandez, P. Vandergheynst, J.-M. Vesin, 2, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006, II-1060  crossref
  6. Phani Chavali, Arye Nehorai, “A low-complexity multi-target tracking algorithm in urban environments using sparse modeling”, Signal Processing, 92, № 9, 2012, 2199  crossref
  7. Chengbo Li, Yu Zhang, Charles C. Mosher, “A hybrid learning-based framework for seismic denoising”, The Leading Edge, 38, № 7, 2019, 542  crossref
  8. Prashant Shekhar, Abani Patra, “A forward–backward greedy approach for sparse multiscale learning”, Computer Methods in Applied Mechanics and Engineering, 400, 2022, 115420  crossref
  9. T.T. Cai, Lie Wang, Guangwu Xu, “Shifting Inequality and Recovery of Sparse Signals”, IEEE Trans. Signal Process., 58, № 3, 2010, 1300  crossref
  10. Bo Pang, Dahai Dai, Shiqi Xing, Yongzhen Li, Xuesong Wang, “IMAGING ENHANCEMENT OF STEPPED FREQUENCY RADAR USING THE SPARSE RECONSTRUCTION TECHNIQUE”, PIER, 140, 2013, 63  crossref
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