{"id":"W2155550045","doi":"10.1109/iscas.2011.5937919","title":"Unconstrained regularized &amp;#x2113;&lt;inf&gt;p&lt;/inf&gt;-norm based algorithm for the reconstruction of sparse signals","year":2011,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compressed sensing; Algorithm; Norm (philosophy); Computation; Signal reconstruction; Mathematics; Matrix (chemical analysis); Banach space; Computer science; Signal processing; Discrete mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009031571,0.0007947175,0.0007726748,0.0006502654,0.000319308,0.0007899699,0.001077167,0.0009394264,0.005243272],"category_scores_gemma":[0.002112593,0.0003457138,0.0005657026,0.0008365992,0.0007187435,0.001095461,0.0008575746,0.001533688,0.002022999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005545246,"about_ca_system_score_gemma":0.001121628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370823,"about_ca_topic_score_gemma":0.001950323,"domain_scores_codex":[0.9994905,0.000156589,0.00002438372,0.0000863934,0.00021863,0.00002346946],"domain_scores_gemma":[0.9994006,0.0002695783,0.00006631582,0.00008567602,0.0001508002,0.00002698022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002574349,0.0001171911,0.000390145,0.0002921162,0.00009473031,0.0002117654,0.0001640146,0.3482293,0.03322079,0.08129592,0.01005538,0.5256711],"study_design_scores_gemma":[0.00002128456,0.00006817408,0.0001023411,0.00001300618,0.000008830635,0.0001677675,0.00001057673,0.9815974,0.006195011,0.005655122,0.006138389,0.00002214976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007505346,0.00006613733,0.9983242,0.0000528678,0.00002028048,0.00001621868,0.00002019163,0.0001375899,0.0006119047],"genre_scores_gemma":[0.02163331,0.0001851257,0.9747258,0.00005732237,0.00003639471,0.0001153236,0.0001301422,0.00007878001,0.00303786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005243272,"threshold_uncertainty_score":0.01754051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889251760256721,"score_gpt":0.2269739737361366,"score_spread":0.1880814561335694,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}