的数据如何在MATLAB中平滑此曲线?我已经尝试了所有选项的smoothdata(),但它们通常会导致一条直线。与fit()相同。我怎样才能摆脱颠簸?
idfiyjo81#
为什么不使用smoothdata?根据我的经验,它工作得很好。
data = [-3.964575079872204, 0.35984061141417234 -3.897581013235965, 0.362519535901199 -3.8305869465997255, 0.3655679672140226 -3.763592879963486, 0.36750787804945606 -3.696598813327247, 0.3690782820590923 -3.629604746691008, 0.3682468917010495 -3.5626106800547688, 0.3662146041591672 -3.49561661341853, 0.3638128097914879 -3.4286225467822904, 0.3629814194334451 -3.3616284801460514, 0.3640899399108355 -3.294634413509812, 0.3671383712236591 -3.227640346873573, 0.37074106277517815 -3.1606462802373336, 0.3739742475009 -3.0936522136010947, 0.37628366516212997 -3.0266581469648557, 0.3796092265943012 -2.9596640803286163, 0.3848746988619056 -2.8926700136923773, 0.39152582172624806 -2.825675947056138, 0.397807437764794 -2.758681880419899, 0.40205676626145714 -2.6916878137836595, 0.4049204441613823 -2.6246937471474205, 0.4076917453548585 -2.557699680511181, 0.4103706698418854 -2.490705613874942, 0.41397336139340424 -2.4237115472387027, 0.4188693268352117 -2.3567174806024638, 0.42302627862542574 -2.289723413966225, 0.4256128264060035 -2.2227293473299854, 0.4269984770027415 -2.1557352806937464, 0.42903076454462385 -2.088741214057507, 0.43328009304128723 -2.021747147421268, 0.43854556530889144 -1.9547530807850286, 0.4430720239249024 -1.8877590141487897, 0.44584332511837843 -1.8207649475125502, 0.44815274277960837 -1.7537708808763113, 0.4505545371472879 -1.6867768142400719, 0.4545267355246032 -1.619782747603833, 0.4620092487469887 -1.552788680967594, 0.47180117963060386 -1.485794614331355, 0.48233212416581295 -1.418800547695115, 0.4924935618752251 -1.3518064810588761, 0.5014541024007975 -1.2848124144226372, 0.5077357184393432 -1.2178183477863982, 0.5130011907069478 -1.1508242811501583, 0.5187285465067981 -1.0838302145139194, 0.5254720460775899 -1.0168361478776804, 0.5309222717580928 -0.9498420812414414, 0.5355411070805527 -0.8828480146052025, 0.5401599424030128 -0.8158539479689626, 0.5454254146706172 -0.7488598813327236, 0.5523536676543073 -0.6818658146964847, 0.5602980644089388 -0.6148717480602457, 0.5667644338603828 -0.5478776814240058, 0.5721222828344363 -0.48088361478776687, 0.5781267687536344 -0.4138895481515279, 0.5863482956276134 -0.34689548151528893, 0.595308836153186 -0.27990141487904907, 0.6043617533852075 -0.2129073482428101, 0.6128604103785342 -0.14591328160657113, 0.620158170188021 -0.07891921497033216, 0.6277330601168554 -0.011925148334093194, 0.6379868745327169 0.05506891830214666, 0.6511043668485033 0.12206298493838563, 0.6641294824578408 0.1890570515746246, 0.6744756735801511 0.25605111821086357, 0.6817734333896381 0.32304518484710343, 0.6849142414089111 0.3900392514833424, 0.6835285908121731 0.45703331811958137, 0.6763232077091352 0.5240273847558203, 0.666069393293274 0.5910214513920593, 0.6572012294741507 0.6580155180282992, 0.653690914629081 0.7250095846645381, 0.6540604214548777 0.7920036513007771, 0.6539680447484284 0.8589977179370161, 0.6502729764904607 0.9259917845732559, 0.6428828399745246 0.9929858512094949, 0.6335527926231552 1.0599799178457339, 0.624315121978235 1.1269739844819728, 0.6159088416913578 1.1939680511182127, 0.6088882120012185 1.2609621177544517, 0.6032532329078173 1.3279561843906906, 0.5995581646498491 1.3949502510269296, 0.5967868634563731 1.4619443176631686, 0.5943850690886938 1.5289383842994084, 0.5905976241242767 1.5959324509356474, 0.583854124553485 1.6629265175718864, 0.5747088306150139 1.7299205842081253, 0.5630693656024148 1.7969146508443652, 0.5534621881316979 1.8639087174806042, 0.5472729487996013 1.9309027841168431, 0.5432083737158364 1.997896850753082, 0.5376657713288844 2.064890917389321, 0.5297213745742531 2.131884984025561, 0.5220541079389693 2.1988790506618, 0.5170657657907127 2.265873117298039, 0.513555450945643 2.332867183934278, 0.5102298895134718 2.399861250570517, 0.506257691136156 2.4668553172067558, 0.5020083626394927 2.5338493838429965, 0.49757428072993126 2.6008434504792355, 0.4933249522332679 2.6678375171154745, 0.4898146373881982 2.7348315837517134, 0.486489075956027 2.8018256503879524, 0.4829787611109573 2.8688197170241914, 0.4786370559078448 2.9358137836604303, 0.47198593304350234 3.0028078502966693, 0.4620092487469887 3.0698019169329083, 0.4498155234956942 3.136795983569149, 0.4367904078863569 3.203790050205388, 0.4228415252125275 3.270784116841627, 0.4085231357129011 3.337778183477866, 0.3948513831584193 3.404772250114105, 0.38219577437487895 3.471766316750344, 0.37018680253648273 3.538760383386583, 0.3600253648270706 3.605754450022822, 0.35383612549497423 3.6727485166590608, 0.35088007088859974 3.7397425832953015, 0.3489401600531665 3.8067366499315405, 0.34626123556613964 3.8737307165677795, 0.3431204275468669 3.9407247832040184, 0.3409033865920861 3.9894477407576474, 0.34001657021017384]; %% figure; x = data(:,1); y = data(:,2); plot(x, y, 'linewidth', 2.5) xlim([-4, 4]) ylim([-0.5, 1.5]) hold on; plot(x, smoothdata(y), 'linewidth', 2.5)
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的数据
1条答案
按热度按时间idfiyjo81#
为什么不使用smoothdata?根据我的经验,它工作得很好。
字符串
的数据