Is signal reconstruction possible using phase/magnitude only

In summary, the Fourier Transform and its inverse allow us to obtain the phase and magnitude of a signal and reconstruct it back using both components together. However, there is also a concept of minimal phase reconstruction in signal processing, where the missing imaginary part can be obtained through the Hilbert transform. While the human ear may not notice the phase in sound, it can still play a role in how we perceive certain frequencies.
  • #1
ramdas
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I am studying Fourier Transform and it's inverse. We get phase and magnitude of a signal from it's Fourier transform and reconstruct it back from both together(magnitude of signal +phase of signal)

My question is that is it possible to reconstruct given signal back using it's phase only or magnitude only?
 
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  • #2
ramdas said:
I am studying Fourier Transform and it's inverse. We get phase and magnitude of a signal from it's Fourier transform and reconstruct it back from both together(magnitude of signal +phase of signal)

My question is that is it possible to reconstruct given signal back using it's phase only or magnitude only?
For a complex waveform, we would need to add each component in its correct amplitude and phase in order to obtain the correct shape. But for sound, the ear does not seem to notice the phase, so the shape of the wave is not important provided the spectral response is correct.
 
  • #3
There is such a notion as a minimal phase reconstruction in signal processing. Here's an outline of the process:
Suppose you have an analytic signal:
x(t)=A(t)eiφ(t)

Then (a) log of the signal would be:
log(x(t)) = log(|A(t)|)+iφ(t)

Now, what if we just have A(t)?
You can take log(|A(t)|) and call it the real part of an analytic signal, but what about the imaginary part?
It turns out you can take what is called the Hilbert transform of log(|A(t)|) to get a good candidate for the missing imaginary part. Add the real and imaginary parts, then exponentiate to get your reconstruction.

If you have access to MATLAB, you can try this out using the built in 'hilbert' function. If you pass it a time series, it uses the Fast Fourier Transform to make an analytic signal.
 
  • #4
tech99 said:
For a complex waveform, we would need to add each component in its correct amplitude and phase in order to obtain the correct shape. But for sound, the ear does not seem to notice the phase, so the shape of the wave is not important provided the spectral response is correct.
That is true for short timescales (e.g. if you want to describe a single note played by an instrument at constant amplitude) but it is not true in general.
Consider a 440 Hz wave and a 441 Hz wave at the same amplitude together: a human will interpret this as ~440 Hz sound that oscillates in amplitude once per second. The question "when do we hear sound?" depends on the phases of the two waves.
 

1. Can signals be fully reconstructed using only phase and magnitude information?

No, signals cannot be fully reconstructed using only phase and magnitude information. This is because phase and magnitude only provide partial information about the signal, and do not contain all the necessary components to fully reconstruct it.

2. What are the limitations of using phase and magnitude for signal reconstruction?

The main limitation is that phase and magnitude do not provide information about the frequency content of the signal. This can result in loss of important details and distortions in the reconstructed signal.

3. Are there any techniques that can improve the accuracy of signal reconstruction using phase and magnitude?

Yes, there are techniques such as phase unwrapping and zero-padding that can improve the accuracy of signal reconstruction using phase and magnitude. However, these techniques have their own limitations and may not always result in a fully accurate reconstruction.

4. Is it possible to use phase and magnitude to reconstruct any type of signal?

No, phase and magnitude can only be used to reconstruct signals that have a single frequency component. Signals with multiple frequency components cannot be accurately reconstructed using only phase and magnitude information.

5. What are some real-world applications of using phase and magnitude for signal reconstruction?

One common application is in audio and image compression, where phase and magnitude are used to compress and decompress the signal without losing too much quality. Another application is in MRI imaging, where phase and magnitude data are used to reconstruct images of the body's tissues and organs.

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