{"id":"W2000678025","doi":"10.1109/iscas.2014.6865354","title":"Orthogonal space time code based partial rank affine projection adaptive filtering algorithm","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Algorithm; Affine transformation; Rank (graph theory); Computation; Code (set theory); Convergence (economics); Matrix (chemical analysis); Inverse; Computer science; Projection (relational algebra); Mathematics; Combinatorics; Pure mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005754568,0.0007313127,0.0008975907,0.0004588145,0.0004697226,0.001141308,0.0008913119,0.000966443,0.003986802],"category_scores_gemma":[0.00154757,0.0002904742,0.0006437663,0.0009243762,0.0005669243,0.001003143,0.0007954748,0.001352157,0.001883427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003970672,"about_ca_system_score_gemma":0.002008441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003555003,"about_ca_topic_score_gemma":0.003669332,"domain_scores_codex":[0.9990966,0.0001704058,0.0000455176,0.0001706621,0.0004199475,0.00009681442],"domain_scores_gemma":[0.9993846,0.0001506344,0.00006259776,0.0001042503,0.0002656378,0.00003218798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004304841,0.0001360363,0.0009164491,0.0001941236,0.0001004997,0.0001666993,0.0001343032,0.1446921,0.03870403,0.03442539,0.008966953,0.7711329],"study_design_scores_gemma":[0.00003190849,0.0001317341,0.0003855517,0.0000125915,0.00001909186,0.0001981063,0.00001902686,0.976357,0.01244027,0.003438697,0.006935077,0.00003096357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003807198,0.0001465844,0.9939582,0.0001082456,0.0000464842,0.00003995211,0.00004860212,0.0004292001,0.001415502],"genre_scores_gemma":[0.1280632,0.000584177,0.8584093,0.0002157666,0.0001253111,0.0002358745,0.0005296967,0.00009586617,0.01174092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003986802,"threshold_uncertainty_score":0.01333719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124821390298983,"score_gpt":0.2191851445551628,"score_spread":0.207936930652173,"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."}}