自回归 [英] Autoregressive
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问题描述
自回归模型捕获来自同一接入点的样本信号之间的自相关.使用此模型来计算n个相关样本的平均值的分布.这是在WiFi定位系统中完成的.请更正以下代码.我是新手,非常感谢您的协助.
谢谢!
The autoregressive model captures the autocorrelation between the sample signals from the same access point. Using this model to calculate the distribution of the average of n correlated samples. This is done in a WiFi location system. Please make corrections to the code below. I''m a newbie and would really appreciated your assistance.
Thanks!
static void Calculate_P(int x,int y)
{
double a, b = 0, c = 0;
double h = 0;
//calculate each location for each AP
for(int i = 0; i <= 1; i++)
{
for(int j = 0; j <= 3; j++)
{
for(int k = 0; k <= 3; k++)
{
h += GlobalVariable.Str[i, j, k];
}
h /= 4;
GlobalVariable.aves[i, j] = h;
}
}
for(int i = 0; i <= 1; i++)
{
for(int j = 0; j <= 3; j++)
{
for(int k = 0; k <= 2; k++)
{
b += (GlobalVariable.Str[i, j, k] - GlobalVariable.aves[i, j]) * (GlobalVariable.Str[i, j, k + 1 ] - GlobalVariable.aves[i, j]);
}
for(int k = 0; k <= 3; k++)
{
c += (GlobalVariable.Str[i, j, k] - GlobalVariable.aves[i, j]) * (GlobalVariable.Str[i, j, k] - GlobalVariable.aves[i, j]);
}
a = b / c;
Console.WriteLine("location{0},AP{1}
Autocorrelation coefficient:{2} ", i + 1, j + 1, a);
}
}
}
推荐答案
是什么问题?以及它在代码中的什么地方出现?
what is the problem? And where in the code does it occur?
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