Is it possible to do demodulation of “arbitrary modulation”, using e.g. Hilbert transform or something?
Is it possible to do demodulation of "arbitrary modulation", using e.g. Hilbert transform or something?
While demodulation of known or "approximately known" modulated signal can be done e.g. like this:
https://www.gaussianwaves.com/2017/04/extracting-instantaneous-amplitude-phase-frequency-hilbert-transform/
then is there anything to be done if the modulation signal is unknown? The Hilbert transform can provide e.g. the amplitude contour, but this I'm not sure whether it correlates to the amplitude of the modulation signal.
Because one could e.g. do:
z = hilbert(x), inst_amplitude = np.abs(z) # contour
then by reasoning that the contour is "how the signal's amplitude has been modulated compared to 'equal amplitude' original signal", then one could try:
inv_inst_amplitude = -inst_amplitude, which is the contour, but acting to the opposite direction. So one could perhaps demodulate by applying this negative contour to the modulated signal in order to get a "flat amplitude signal".
However with a simple example:
Then what am I supposed to do now?
signal-processing
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
add a comment |
Is it possible to do demodulation of "arbitrary modulation", using e.g. Hilbert transform or something?
While demodulation of known or "approximately known" modulated signal can be done e.g. like this:
https://www.gaussianwaves.com/2017/04/extracting-instantaneous-amplitude-phase-frequency-hilbert-transform/
then is there anything to be done if the modulation signal is unknown? The Hilbert transform can provide e.g. the amplitude contour, but this I'm not sure whether it correlates to the amplitude of the modulation signal.
Because one could e.g. do:
z = hilbert(x), inst_amplitude = np.abs(z) # contour
then by reasoning that the contour is "how the signal's amplitude has been modulated compared to 'equal amplitude' original signal", then one could try:
inv_inst_amplitude = -inst_amplitude, which is the contour, but acting to the opposite direction. So one could perhaps demodulate by applying this negative contour to the modulated signal in order to get a "flat amplitude signal".
However with a simple example:
Then what am I supposed to do now?
signal-processing
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
add a comment |
Is it possible to do demodulation of "arbitrary modulation", using e.g. Hilbert transform or something?
While demodulation of known or "approximately known" modulated signal can be done e.g. like this:
https://www.gaussianwaves.com/2017/04/extracting-instantaneous-amplitude-phase-frequency-hilbert-transform/
then is there anything to be done if the modulation signal is unknown? The Hilbert transform can provide e.g. the amplitude contour, but this I'm not sure whether it correlates to the amplitude of the modulation signal.
Because one could e.g. do:
z = hilbert(x), inst_amplitude = np.abs(z) # contour
then by reasoning that the contour is "how the signal's amplitude has been modulated compared to 'equal amplitude' original signal", then one could try:
inv_inst_amplitude = -inst_amplitude, which is the contour, but acting to the opposite direction. So one could perhaps demodulate by applying this negative contour to the modulated signal in order to get a "flat amplitude signal".
However with a simple example:
Then what am I supposed to do now?
signal-processing
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
Is it possible to do demodulation of "arbitrary modulation", using e.g. Hilbert transform or something?
While demodulation of known or "approximately known" modulated signal can be done e.g. like this:
https://www.gaussianwaves.com/2017/04/extracting-instantaneous-amplitude-phase-frequency-hilbert-transform/
then is there anything to be done if the modulation signal is unknown? The Hilbert transform can provide e.g. the amplitude contour, but this I'm not sure whether it correlates to the amplitude of the modulation signal.
Because one could e.g. do:
z = hilbert(x), inst_amplitude = np.abs(z) # contour
then by reasoning that the contour is "how the signal's amplitude has been modulated compared to 'equal amplitude' original signal", then one could try:
inv_inst_amplitude = -inst_amplitude, which is the contour, but acting to the opposite direction. So one could perhaps demodulate by applying this negative contour to the modulated signal in order to get a "flat amplitude signal".
However with a simple example:
Then what am I supposed to do now?
signal-processing
signal-processing
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
asked Dec 29 '18 at 2:26
mavaviljmavavilj
2,68811032
2,68811032
add a comment |
add a comment |
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