{"id":"W59337188","doi":"10.1007/978-3-642-30615-0_24","title":"Partial Fourier Codebooks Associated with Multiplied Golay Complementary Sequences for Compressed Sensing","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Codebook; Binary Golay code; Binary number; Complementary sequences; Ternary Golay code; Algorithm; Integer (computer science); Sequence (biology); Bounded function; Mathematics; Matrix (chemical analysis); Fast Fourier transform; Binary code; Combinatorics; Discrete mathematics; Computer science; Arithmetic; Mathematical analysis; Hamming code; Block code; Decoding methods; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003636372,0.0005480772,0.0005883032,0.0003009614,0.0002261873,0.000170846,0.0005515233,0.0002705541,0.00001494063],"category_scores_gemma":[0.00002656888,0.0004855074,0.00009900444,0.0001257304,0.0005524554,0.0001733409,0.000175264,0.0005384675,0.000003162826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614948,"about_ca_system_score_gemma":0.00009721944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003474905,"about_ca_topic_score_gemma":0.0002285325,"domain_scores_codex":[0.9977083,0.00002349727,0.0004005215,0.0006210958,0.0005177324,0.0007289055],"domain_scores_gemma":[0.9984459,0.0005519613,0.0001686273,0.0005053041,0.0001918097,0.0001364004],"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":[0.0001058287,0.00005229589,0.0002117101,0.0001154301,0.0003531842,0.0001177157,0.001851071,0.4441065,0.0150202,0.0009535748,0.0005435695,0.5365689],"study_design_scores_gemma":[0.0005779319,0.0001370834,0.00004119218,0.0009475544,0.00006702404,0.00002636736,5.169812e-7,0.943769,0.04096104,0.01059128,0.002005317,0.0008757176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001504708,0.0003035028,0.9949183,0.00004062559,0.0007376927,0.0007539791,0.0000454317,0.0006139611,0.001081788],"genre_scores_gemma":[0.7558741,0.000009543925,0.2430872,0.0003520331,0.0004644271,0.00001032133,0.00006169228,0.00009549328,0.00004520422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7543694,"threshold_uncertainty_score":0.9997597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059745839473943,"score_gpt":0.2438126223176428,"score_spread":0.2132151639229033,"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."}}