主题:[原创]怎么能求出这样一组数据拟合函数的参数啊?
我有一个2*129的矩阵,他们是对应的关系,就类似(x,y)这种的
我画了一下这组数据构成的图形
想用正态函数去逼近他
可是正态函数有两个参数mu,sigma
在matlab里有函数lsqcurvefit.m可以直接把x,y带进去就得出一组最适合原来数据的参数,然后根据得到的这组mu,sigma才能画出逼近曲线
可是这种两个参数的怎么带啊?
我按照书上写的可是总是说我这个lsqcurvefit函数用的错误
还请大家帮帮忙!
数据是下面的这些
x=[0 0.3906 0.7813 1.1719 1.5625 1.9531 2.3438 2.7344 3.1250 3.5156 3.9063 4.2969 4.6875 5.0781 5.4688 5.8594 6.2500 6.6406 7.0313 7.4219 7.8125 8.2031 8.5938 8.9844 9.3750 9.7656 10.1563 10.5469 10.9375 11.3281 11.7188 12.1094 12.5000 12.8906 13.2813 13.6719 14.0625 14.4531 14.8438 15.2344 15.6250 16.0156 16.4063 16.7969 17.1875 17.5781 17.9688 18.3594 18.7500 19.1406 19.5313 19.9219 20.3125 20.7031 21.0938 21.4844 21.8750 22.2656 22.6563 23.0469 23.4375 23.8281 24.2188 24.6094 25.0000 25.3906 25.7813 26.1719 26.5625 26.9531 27.3438 27.7344 28.1250 28.5156 28.9063 29.2969 29.6875 30.0781 30.4688 30.8594 31.2500 31.6406 32.0313 32.4219 32.8125 33.2031 33.5938 33.9844 34.3750 34.7656 35.1563 35.5469 35.9375 36.3281 36.7188 37.1094 37.5000 37.8906 38.2813 38.6719 39.0625 39.4531 39.8438 40.2344 40.6250 41.0156 41.4063 41.7969 42.1875 42.5781 42.9688 43.3594 43.7500 44.1406 44.5313 44.9219 45.3125 45.7031 46.0938 46.4844 46.8750 47.2656 47.6563 48.0469 48.4375 48.8281 49.2188 49.6094 50.0000]
y=[0 0 0 0 0 0 0 0.0001 0.0002 0.0014 0.0051 0.0110 0.0156 0.0288 0.0290 0.0111 0.0225 0.0335 0.0483 0.0056 0.0803 0.1387 0.1598 0.0679 0.0252 0.0478 0.0474 0.0268 0.0066 0.0088 0.0050 0.0050 0.0028 0.0039 0.0078 0.0100 0.0055 0.0028 0.0071 0.0048 0.0080 0.0020 0.0019 0.0041 0.0042 0.0041 0.0043 0.0115 0.0067 0.0083 0.0038 0.0015 0.0018 0.0050 0.0035 0.0037 0.0064 0.0027 0.0032 0.0028 0.0027 0.0016 0.0008 0.0011 0.0017 0.0017 0.0006 0.0004 0.0028 0.0026 0.0012 0.0011 0.0007 0.0006 0.0013 0.0015 0.0001 0.0008 0.0007 0.0009 0.0017 0.0018 0.0011 0.0008 0.0004 0.0002 0.0001 0.0003 0.0003 0.0002 0.0003 0.0001 0.0004 0.0002 0.0002 0.0002 0.0001 0.0001 0 0 0 0 0.0001 0.0001 0.0001 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
我画了一下这组数据构成的图形
想用正态函数去逼近他
可是正态函数有两个参数mu,sigma
在matlab里有函数lsqcurvefit.m可以直接把x,y带进去就得出一组最适合原来数据的参数,然后根据得到的这组mu,sigma才能画出逼近曲线
可是这种两个参数的怎么带啊?
我按照书上写的可是总是说我这个lsqcurvefit函数用的错误
还请大家帮帮忙!
数据是下面的这些
x=[0 0.3906 0.7813 1.1719 1.5625 1.9531 2.3438 2.7344 3.1250 3.5156 3.9063 4.2969 4.6875 5.0781 5.4688 5.8594 6.2500 6.6406 7.0313 7.4219 7.8125 8.2031 8.5938 8.9844 9.3750 9.7656 10.1563 10.5469 10.9375 11.3281 11.7188 12.1094 12.5000 12.8906 13.2813 13.6719 14.0625 14.4531 14.8438 15.2344 15.6250 16.0156 16.4063 16.7969 17.1875 17.5781 17.9688 18.3594 18.7500 19.1406 19.5313 19.9219 20.3125 20.7031 21.0938 21.4844 21.8750 22.2656 22.6563 23.0469 23.4375 23.8281 24.2188 24.6094 25.0000 25.3906 25.7813 26.1719 26.5625 26.9531 27.3438 27.7344 28.1250 28.5156 28.9063 29.2969 29.6875 30.0781 30.4688 30.8594 31.2500 31.6406 32.0313 32.4219 32.8125 33.2031 33.5938 33.9844 34.3750 34.7656 35.1563 35.5469 35.9375 36.3281 36.7188 37.1094 37.5000 37.8906 38.2813 38.6719 39.0625 39.4531 39.8438 40.2344 40.6250 41.0156 41.4063 41.7969 42.1875 42.5781 42.9688 43.3594 43.7500 44.1406 44.5313 44.9219 45.3125 45.7031 46.0938 46.4844 46.8750 47.2656 47.6563 48.0469 48.4375 48.8281 49.2188 49.6094 50.0000]
y=[0 0 0 0 0 0 0 0.0001 0.0002 0.0014 0.0051 0.0110 0.0156 0.0288 0.0290 0.0111 0.0225 0.0335 0.0483 0.0056 0.0803 0.1387 0.1598 0.0679 0.0252 0.0478 0.0474 0.0268 0.0066 0.0088 0.0050 0.0050 0.0028 0.0039 0.0078 0.0100 0.0055 0.0028 0.0071 0.0048 0.0080 0.0020 0.0019 0.0041 0.0042 0.0041 0.0043 0.0115 0.0067 0.0083 0.0038 0.0015 0.0018 0.0050 0.0035 0.0037 0.0064 0.0027 0.0032 0.0028 0.0027 0.0016 0.0008 0.0011 0.0017 0.0017 0.0006 0.0004 0.0028 0.0026 0.0012 0.0011 0.0007 0.0006 0.0013 0.0015 0.0001 0.0008 0.0007 0.0009 0.0017 0.0018 0.0011 0.0008 0.0004 0.0002 0.0001 0.0003 0.0003 0.0002 0.0003 0.0001 0.0004 0.0002 0.0002 0.0002 0.0001 0.0001 0 0 0 0 0.0001 0.0001 0.0001 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]