Gif stuff
nonlinear MLSE investigation trying hard to implment ML-based pre Equalization to find the branch metrics
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@@ -40,18 +40,18 @@ end
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fp = QueryFilter();
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% fp.where('Runs', 'run_id','EQUALS', 987);
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M = 6;
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% fp.where('Runs', 'pam_level','EQUALS', M);
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% fp.where('Runs', 'bitrate','EQUALS', 480e9);
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M = 4;
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fp.where('Runs', 'pam_level','EQUALS', M);
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fp.where('Runs', 'bitrate','EQUALS', 420e9);%360,390
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% fp.where('Runs', 'symbolrate','EQUALS', 162e9);
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% fp.where('Runs', 'fiber_length','EQUALS', 1);
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fp.where('Runs', 'fiber_length','EQUALS', 2);
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fp.where('Runs', 'is_mpi','EQUALS', 0);
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% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
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% fp.where('Runs', 'loop_id','GREATER_THAN', 11);
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% fp.where('Runs', 'sir','EQUALS',18);
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fp.where('Runs', 'wavelength','LESS_THAN', 1311);
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% fp.where('Runs', 'db_mode','EQUALS', 0);
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% fp.where('Runs', 'rop_attenuation','NOT_EQUAL', 0);
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fp.where('Runs', 'wavelength','EQUAL', 1310);
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fp.where('Runs', 'db_mode','EQUALS', 0);
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fp.where('Runs', 'rop_attenuation','EQUAL', 0);
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% fp.where('Runs', 'power_pd_in','GREATER_THAN', 7);
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[dataTable,~] = db.queryDB(fp, db.getTableFieldNames('Runs'));
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@@ -69,7 +69,7 @@ wh.addStorage("dbenc_package");
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% === RUN IT ===
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[results,wh] = submitJobs(dataTable.run_id(:), dsp_options, "parallel", 'wh', wh, 'waitbar', true);
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[results,wh] = submitJobs(dataTable.run_id(:), dsp_options, "serial", 'wh', wh, 'waitbar', true);
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results_db = results(dataTable.db_mode==1);
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results_nodb = results(dataTable.db_mode==0);
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@@ -6,7 +6,7 @@ M = 4;
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fp = QueryFilter();
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% fp.where('Runs', 'run_id','EQUALS', 987);
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fp.where('Runs', 'pam_level','EQUALS', M);
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fp.where('Runs', 'symbolrate','EQUALS', 150e9);
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% fp.where('Runs', 'symbolrate','EQUALS', 150e9);
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% fp.where('Runs', 'fiber_length','EQUALS', 10);
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fp.where('Runs', 'is_mpi','EQUALS', 0);
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% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
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