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Do this procedure on both signals, and subtract the results to get what you want (it would be a nearly constant sequence whose value is phase shift in radians)

  1. Perform FFT on the signal to obtain to obtain its spectrum.

  2. Find the dominant harmonic of the signal : $f_c$ (where the peak of FFT occurs).

  3. Filter the signal with a narrow-band linear phase filter (center = $f_c$, bandwidth as less as possible).

  4. Again, perform FFT on the signal and extract its phase.

Note : It is assumed that the signal has a dominant frequency otherwise a phase shift is pointless

Do this procedure on both signals, and subtract the results to get what you want (it would be a nearly constant sequence whose value is phase shift in radians)

  1. Perform FFT on the signal to obtain to obtain its spectrum.

  2. Find the dominant harmonic of the signal : $f_c$ (where the peak of FFT occurs).

  3. Filter the signal with a narrow-band linear phase filter (center = $f_c$, bandwidth as less as possible).

  4. Again, perform FFT on the signal and extract its phase.

Note : It is assumed that the signal has a dominant frequency otherwise a phase shift is pointless

Do this procedure on both signals, and subtract the results to get what you want (it would be a nearly constant sequence whose value is phase shift in radians)

  1. Perform FFT on the signal to obtain its spectrum.

  2. Find the dominant harmonic of the signal : $f_c$ (where the peak of FFT occurs).

  3. Filter the signal with a narrow-band linear phase filter (center = $f_c$, bandwidth as less as possible).

  4. Again, perform FFT on the signal and extract its phase.

Note : It is assumed that the signal has a dominant frequency otherwise a phase shift is pointless

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Do this procedure on both signals, and subtract the results to get what you want (it would be a nearly constant sequence whose value is phase shift in radians)

  1. Perform FFT on the signal to obtain to obtain its spectrum.

  2. Find the dominant harmonic of the signal : $f_c$ (where the peak of FFT occurs).

  3. Filter the signal with a narrow-band linear phase filter (center = $f_c$, bandwidth as less as possible).

  4. Again, perform FFT on the signal and extract its phase.

Note : It is assumed that the signal has a dominant frequency otherwise a phase shift is pointless

Do this procedure on both signals, and subtract the results to get what you want (it would be a nearly constant sequence whose value is phase shift in radians)

  1. Perform FFT on the signal to obtain to obtain its spectrum.

  2. Find the dominant harmonic of the signal : $f_c$ (where the peak of FFT occurs)

  3. Filter the signal with a narrow-band filter (center = $f_c$, bandwidth as less as possible)

  4. Again, perform FFT on the signal and extract its phase

Note : It is assumed that the signal has a dominant frequency otherwise a phase shift is pointless

Do this procedure on both signals, and subtract the results to get what you want (it would be a nearly constant sequence whose value is phase shift in radians)

  1. Perform FFT on the signal to obtain to obtain its spectrum.

  2. Find the dominant harmonic of the signal : $f_c$ (where the peak of FFT occurs).

  3. Filter the signal with a narrow-band linear phase filter (center = $f_c$, bandwidth as less as possible).

  4. Again, perform FFT on the signal and extract its phase.

Note : It is assumed that the signal has a dominant frequency otherwise a phase shift is pointless

Source Link

Do this procedure on both signals, and subtract the results to get what you want (it would be a nearly constant sequence whose value is phase shift in radians)

  1. Perform FFT on the signal to obtain to obtain its spectrum.

  2. Find the dominant harmonic of the signal : $f_c$ (where the peak of FFT occurs)

  3. Filter the signal with a narrow-band filter (center = $f_c$, bandwidth as less as possible)

  4. Again, perform FFT on the signal and extract its phase

Note : It is assumed that the signal has a dominant frequency otherwise a phase shift is pointless