7085ba0931
nonlinear MLSE investigation trying hard to implment ML-based pre Equalization to find the branch metrics
48 lines
2.1 KiB
Matlab
48 lines
2.1 KiB
Matlab
database_type = 'mysql';
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dataBase = 'labor_highspeed';%'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\silas_labor_newdsp_newstructure.db';
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db = DBHandler("dataBase", [dataBase], "type", database_type);
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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', '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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% 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','EQUALS', 1310);
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fp.where('Runs', 'db_mode','EQUALS', 1); % 0 == high preemphasis // 1 == low preemphasis
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fp.where('Runs', 'rop_attenuation','EQUALS', 0);
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fields = db.getTableFieldNames('power_state_info');
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fields = [fields; db.getTableFieldNames('dashboard_ungrouped_new')];
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[dataTable,~] = db.queryDB(fp, fields);
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cfg = struct;
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cfg.x_axis = 'accumulated_dispersion'; % 'symbolrate' | 'baudrate' | 'bitrate' | 'wavelength'
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cfg.y_axis = 'BER'; % 'BER' | 'GMI' | 'AIR' | ...
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cfg.group_by = {'equalizer_structure','pre_emph'};
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cfg.filters = struct('is_mpi',0,'pam_level',M,'equalizer_structure',[equalizer_structure.vnle,equalizer_structure.ffe,equalizer_structure.vnle_pf_mlse,equalizer_structure.vnle_db_mlse,equalizer_structure.dfe]);
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cfg.y_scale = 'auto'; % auto -> log for BER*, linear otherwise
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cfg.outlier = 'mad'; % simple, robust; 'none' or 'pctl' also available
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cfg.show_raw = true;
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cfg.show_spread = 'none'; % 'none' or 'iqr'
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cfg.agg = 'mean'; % or 'median'
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cfg.show_precoded = 0;
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cfg.fec_lines = [2.2e-4 4.85e-3 2e-2]; % optional
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% New styling knobs
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cfg.plot.use_cbrewer2 = true;
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cfg.plot.colormap = 'Paired';
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cfg.plot.paired_dark_first = false; % dark for lines, light for scatter
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cfg.plot.lineWidth = 2.0;
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cfg.plot.errWidth = 1.2;
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cfg.plot.scatterAlpha = 0.35;
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cfg.plot.legendLocation = 'best';
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cfg.plot.fecLineWidth = 2.4; % thicker FEC limits
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plot_measurements_gpt(dataTable, cfg); |