use*_*312 4 matlab probability-density
以下面的方式,
function ret = f(pIx5, dS)
sigma = 1;
rho = dS(1);
theta = dS(2);
mu_x = rho*cos(theta);
display(pIx5);
display(mu_x);
pdf = normpdf(pIx5, mu_x, sigma);
ret = max(pdf);
end
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我收到以下错误消息,
pIx5 =
54 65 11 0 0
mu_x =
11.9218
Error using normpdf (line 36) Non-scalar arguments must match in size.
Error in f (line 11)
pdf = normpdf(pIx5, mu_x, sigma);
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但是,它可以通过以下方式正常工作,
function ret = f(pIx5, dS)
sigma = 1;
rho = dS(1);
theta = dS(2);
pIx5 = [54,65, 11, 0, 0];
mu_x = 11.9218;
display(pIx5);
display(mu_x);
pdf = normpdf(pIx5, mu_x, sigma);
ret = max(pdf);
end
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这里发生了什么?
gno*_*ice 10
我愿意投入大量资金来解决问题与你输入的类型有关pIx5.请注意:
>> pdf = normpdf([54 65 11 0 0], 11.9218, 1); % Works fine
>> pdf = normpdf(uint8([54 65 11 0 0]), 11.9218, 1);
Error using normpdf (line 36)
Non-scalar arguments must match in size.
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为什么它会给与该类型有关的东西一个大小错误?看看代码的normpdf答案.从第33-37行,R2016b:
...
try
y = exp(-0.5 * ((x - mu)./sigma).^2) ./ (sqrt(2*pi) .* sigma);
catch
error(message('stats:normpdf:InputSizeMismatch'));
end
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基本上,评估该等式的任何错误都会报告为大小不匹配错误.在这种情况下,它实际上是一个exp不适用于整数数据类型的问题(它只支持single和double类型):
>> x = uint8([54 65 11 0 0]);
>> mu = 11.9218;
>> sigma = 1;
>> y = exp(-0.5 * ((x - mu)./sigma).^2) ./ (sqrt(2*pi) .* sigma);
Undefined function 'exp' for input arguments of type 'uint8'.
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解决方案呢?只需将您的违规输入转换为single或double首先:
pdf = normpdf(double(pIx5), mu_x, sigma);
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