Fourier Row and spectral analysis
Hi, i have result from other program. Original serie have 225 observing, but program use only 224. the most domain frequencies are f1=1/224 f2=1/122 f3=1/74,66 f4=1/56 f5=1/24,88 When i know these frequencies a can do, new variable ,nubmers of variavle is 2*nubmer of frequencies: t<-1:225 c1<-cos(2*pi*f1*t) s1<-sin(2*pi*f1*t) . . . s5<-sin(2*pi*f5*t) and now a can do lm(y~mean+c1+s1+c2+s2+...+s5) .
Dieter Menne wrote:
Peterko <lanikpeter <at> gmail.com> writes:
Hello, i need to find in time serie, k=1,2,3...(how if possible) most domain frequencies and than smooth original serie by Fourier row y=mean + a1*Cos(2*pi/freq*t)+b1*Sin(2*pi/freq*t)+a2...... numbers a1,b1 ... i will have from simple regresion, i need only to find k msot domain frequensies a than i will have a1,b1,....ak,bk - coeficients.
It is very difficult to understand what you want, mainly the part about the "simple regression" in Fourier context. For simple filtering/smoothing, check http://markmail.org/message/qt2222yxkwlesy75 Dieter
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