{"id":"W4406038748","doi":"10.1007/978-3-031-68915-4","title":"Fundamentals of Linear Algebra for Signal Processing","year":2025,"lang":"en","type":"book","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Linear algebra; Algebra over a field; Signal processing; Computer science; Mathematics; Digital signal processing; Pure mathematics; Computer hardware; Geometry","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":[0.0003836897,0.001347403,0.001121111,0.001639508,0.0006446504,0.003009697,0.001085818,0.0007733215,0.0806922],"category_scores_gemma":[0.0009447816,0.00064159,0.0006276622,0.002761676,0.001171725,0.002544144,0.0007292597,0.002368373,0.06346416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006924479,"about_ca_system_score_gemma":0.0007992244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009640465,"about_ca_topic_score_gemma":0.00138272,"domain_scores_codex":[0.9995573,0.00005644541,0.00002064287,0.00006373744,0.0002763295,0.00002559184],"domain_scores_gemma":[0.9995715,0.0001890999,0.00002095745,0.00006797152,0.0001260125,0.00002432644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002629722,0.00004325185,0.00007587217,0.000621575,0.00002620542,0.0000733956,0.0001872656,0.002149683,0.004050597,0.3920081,0.2563303,0.3444074],"study_design_scores_gemma":[0.000009335304,0.00002637792,0.0001981274,0.0001382058,0.0000124955,0.0002257063,0.00003834993,0.005313715,0.001393107,0.2036943,0.7889238,0.00002637095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009363576,0.02866032,0.4617409,0.001832238,0.00291839,0.00008091672,0.0008900183,0.004075312,0.4988655],"genre_scores_gemma":[0.02160322,0.03169194,0.2494306,0.001266416,0.003248649,0.0002500023,0.001412559,0.002134432,0.6889622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0806922,"threshold_uncertainty_score":0.2699423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04283921029710211,"score_gpt":0.3071964930792472,"score_spread":0.2643572827821451,"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."}}