Hi All, I have two waveforms X and Y. X is input waveform and Y is output. I have FFT algorithm with me. Now can anyone help me calculate the Transfer function and Coherence using the FFT, rather than Matlab etc. I have read at many places that the transfer function is calculated by the cross spectrum X(k)*Y(k) divided by the autospectrum of the input signal X(k)*X(k). But how shall calculate cross spectrum and autospectrum using FFT? If there are any other suggestions ... please specify. Any suggestions are welcome. Thanks and regards, Ajith
Transfer Function and Coherence
Started by ●January 24, 2007
Reply by ●January 24, 20072007-01-24
Here is a step-by-step instruction: http://www.go-ci.com/services.asp?BigClassName=Hardware%20Development&SmallClassName=H-Real%20time%20dynamic%20signal%20analyzer&id=47
Reply by ●January 24, 20072007-01-24
"DigitalSignal" <digitalsignal999@yahoo.com> wrote in message news:1169685949.866823.245430@q2g2000cwa.googlegroups.com...> Here is a step-by-step instruction: > >http://www.go-ci.com/services.asp?BigClassName=Hardware%20Development&SmallClassName=H-Real%20time%20dynamic%20signal%20analyzer&id=47>Best way is to take your two FFT frequency vector ersults (say X and Y) and do this Sxx(i)=beta*Sxx(i-1)+(1-beta)*XX^ (here ^ is complex conjugate) where beta 0<beta<1 is a forgetting factor (say 0.9) Syy(i)=beta*Syy(i-1)+(1-beta)*YY^ and for cross spectrum we have Sxy(i)=beta*Sxy(i-1)+(1-beta)*XY^ This method tracks variations for non-stationary signals - works well.If beta is close to unity it performs an averaging ie smoothing effect. When beta is say 0.5 it is better for tracking but less smooth. If you just use straight periodograms and cross-periodograms the results will be more noisy. F. -- Posted via a free Usenet account from http://www.teranews.com
Reply by ●January 25, 20072007-01-25