April 22, 2009 article Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso) IEEE Transactions on Information Theory DOI: 10.1109/tit.2009.2016018 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 1,255 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Sampling Strategies for Compressive Imaging Under Statistical Noise 2023 International Conference on Sampling Theory and Applications conference-paper Engineering Sparse and Compressive Sensing Techniques 1 citations 1 result References 0