filter data

y(n)=14x(n)+14x(n−1)+14x(n−2)+14x(n−3)
load count.dat
x = count(:,1);
Create the filter coefficient vectors.
a = 1;
b = [1/4 1/4 1/4 1/4];
Compute the 4-hour moving average of the data, and plot both the original data and the filtered data.
y = filter(b,a,x);

t = 1:length(x);
plot(t,x,'--',t,y,'-')
legend('Original Data','Filtered Data')

Yorumlar

Yorum Gönder

Bu blogdaki popüler yayınlar

POLYFIT

Resim
x = linspace(0,4*pi,10); y = sin(x); Use  polyfit  to fit a 7th-degree polynomial to the points. p = polyfit(x,y,7); Evaluate the polynomial on a finer grid and plot the results. x1 = linspace(0,4*pi); y1 = polyval(p,x1); figure plot(x,y, 'o' ) hold on plot(x1,y1) hold off
Devamı

XLSREAD

 [num,text]=xlsread("iks.xlsx") num =      1      2      3      4      5      6 text =   7×2 cell array     {'Harfler'}    {'numaralar'}     {'a'      }    {0×0 char   }     {'b'      }    {0×0 char   }     {'c'      }    {0×0 char   }     {'d'      }    {0×0 char   }     {'e'      }    {0×0 char   }     {'f'      }    {0×0 char   } XLSX DOSYASI Harfler numaralar a 1 b 2 c 3 d 4 e 5 f 6
Devamı

POLYVAL

polyval   p ( x ) = 3 x 2 + 2 x + 1  at the points  x = 5 , 7 , 9 p = [3 2 1]; x = [5 7 9]; y = polyval(p,x) y = 1×3 86 162 262 I =  3 − 1 ( 3 x 4 − 4 x 2 + 1 0 x − 2 5 ) d x . Create a vector to represent the polynomial integrand  3 x 4 − 4 x 2 + 1 0 x − 2 5 . The  x 3  term is absent and thus has a coefficient of 0. p = [3 0 -4 10 -25]; Use  polyint  to integrate the polynomial using a constant of integration equal to  0 . q = polyint(p) q = 1×6 0.6000 0 -1.3333 5.0000 -25.0000 0 Find the value of the integral by evaluating  q  at the limits of integration. a = -1; b = 3; I = diff(polyval(q,[a b]))
Devamı