I have the absolute amplitude of a digital signal that I want to auto correlate with self , also cross correlate with a different digital signal [ absolute magnitude ] . I'm using a complex 1d fft to implement this . I only have the absolute values of the spectra to work with ; where the absolute value is defined as : square root of (Real^2 + Imaginary^2). After multiplying the absolute spectra together I have a unique spectra , again this is an absolute valued spectra. So at this stage does the very first value , sometimes known as the d.c term , contain the magnitude of the correlation ; or some indication thereof . Now applying the fft to the previous product of the spectra we obtain a digital signal , again we only use the absolute value of this. At the first sample the maximum value seems to appear ; is this indicating the amount of correlation . In some instances I find a value that's greater than that of the auto correlation , therefore I'm also wondering if a better indication of correlation is a value that tends to equal that of the auto correlation ; rather than being less than or greater than. To date I haven't extensively examined shifted signals , I'm of the belief that the results will be similar . Note absolute values of all signals , complex fft only ; no inverse fft , of any type , is used .

# 1d correlation / convolution

Started by ●August 12, 2018

Reply by ●August 15, 20182018-08-15

Am 12.08.2018 um 21:56 schrieb quintin9g@gmail.com:> I have the absolute amplitude of a digital signal that I want to > auto correlate with self , also cross correlate with a different > digital signal [ absolute magnitude ] . > > I'm using a complex 1d fft to implement this . > > I only have the absolute values of the spectra to work with ; where > the absolute value is defined as : square root of (Real^2 + Imaginary^2).You won't get lucky here. The time information required for cross correlation is in the phase. And the phase is lost by taking the absolute value, i.e. the time information is lost. All you can do with this kind of information is to identify signal with similar spectral distribution.> Now applying the fft to the previous product of the spectra we obtain a digital signal , again we only use the absolute value of this. > At the first sample the maximum value seems to appear ; is this indicating the amount of correlation .No, this is something different. See -> Cepstrum or -> autocepstrum respectively. Marcel