Is Frequency a Fundamental Property of Signals or a Mathematical Construct?

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Discussion Overview

The discussion centers on the nature of frequency in signals, questioning whether frequency is a fundamental property or merely a mathematical construct. Participants explore concepts related to temporal frequency, instantaneous frequency, and the implications of Fourier analysis on finite time signals.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants assert that temporal frequency is the inverse of the period and is measured in Hz, while others question the validity of using infinite sinusoidal functions to define frequency.
  • There is discussion about instantaneous frequency as the time derivative of the phase angle, with examples provided, such as a cosine modulated by a Gaussian.
  • One participant expresses skepticism about the notion that a finite time signal can have a single frequency, suggesting that this idea is tied to the use of ideal sinusoidal functions.
  • Another participant argues for the utility of Fourier analysis, suggesting that it provides valuable mathematical tools for signal analysis despite the limitations of using idealized functions.
  • Some participants differentiate between the mathematical concept of frequency and the physical behavior of real signals, emphasizing that real emitters have non-zero bandwidths.
  • There is a discussion about the relationship between instantaneous frequency and the frequency band of a signal, with one participant suggesting they are not correlated.
  • Participants also explore the implications of signal lifetime and linewidth in relation to radiation processes, noting that these concepts may reflect different aspects of signal behavior.

Areas of Agreement / Disagreement

Participants express multiple competing views regarding the nature of frequency, the role of Fourier analysis, and the relationship between mathematical constructs and physical reality. The discussion remains unresolved, with no consensus reached on the fundamental nature of frequency.

Contextual Notes

Participants highlight limitations in the definitions and assumptions surrounding frequency, particularly in relation to finite time signals and the idealized nature of sinusoidal functions. The discussion also touches on the dependence of conclusions on the context of signal analysis.

Who May Find This Useful

This discussion may be of interest to those studying signal processing, physics, or mathematics, particularly in relation to the concepts of frequency, Fourier analysis, and the interpretation of signals in both mathematical and physical contexts.

fisico30
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We all know what temporal frequency is. It is measured in Hz. it is the inverse of the period.
It tells the number of cycles per second etc...
In signal analysis there is the concept of instantaneous frequency as the time derivative of the phase angle (see angle modulations of signals).

When a finite time signal (like all real, physical signal) is Fourier analyzed, it shows a band of frequencies (the shorter the signal the larger the band). There is some sort of uncertainty.

Take the case of a cosine modulated by a Gaussian: [exp(-t^2)]*cos(t).
The time distance between peak is constant, and the instantaneous frequency is constant: equal to 1.
The maximum amplitude is changing in time however (increasing and decreasing to zero).

The finite time signal does not have a pure constant frequency, in the sense that it is not a pure sinusoid.
Why do we have to measure a signal for an infinite amount of time to say that it has a specific, single frequency? Is the idea of frequency strictly tied to the idea of infinite sinusoidal functions?
But those sinusoids are just unphysical, math constructs.
Where is the good in saying that a function representing (the best it can) a finite time signal does not have a single frequency, when compared to an ideal sinusoid?
An emitter starts and ends emitting radiation. Done. Why is it so useful to compare it to ideal, unreal sinusoids? It works mathematically, but maybe I am missing something philosophical about uncertainties...

thanks
 
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fisico30 said:
We all know what temporal frequency is. It is measured in Hz. it is the inverse of the period.
It tells the number of cycles per second etc...
In signal analysis there is the concept of instantaneous frequency as the time derivative of the phase angle (see angle modulations of signals).

When a finite time signal (like all real, physical signal) is Fourier analyzed, it shows a band of frequencies (the shorter the signal the larger the band). There is some sort of uncertainty.

Take the case of a cosine modulated by a Gaussian: [exp(-t^2)]*cos(t).
The time distance between peak is constant

Really? I find that hard to believe. Can you prove that?

and the instantaneous frequency is constant: equal to 1.

Again, can you give a proof?
 


fisico30 said:
<snip>
Why do we have to measure a signal for an infinite amount of time to say that it has a specific, single frequency? Is the idea of frequency strictly tied to the idea of infinite sinusoidal functions?
But those sinusoids are just unphysical, math constructs.
Where is the good in saying that a function representing (the best it can) a finite time signal does not have a single frequency, when compared to an ideal sinusoid?
An emitter starts and ends emitting radiation. Done. Why is it so useful to compare it to ideal, unreal sinusoids? It works mathematically, but maybe I am missing something philosophical about uncertainties...

thanks

Conceptually, you are correct. Real emitters have a non-zero bandwidth.

However, the utility of Fourier Analysis, of plane waves and spherical waves, sines, cosine and exp(ikz) is too great to simply throw out as a poor approximation. In fact, as long as the time/spatial region of interest is sufficiently large (alternatively, the bandwidth is much less than the central frequency), then it's possible to have a good mathematical approximation using sinusoids, and in so doing gain all the mathematical tools available for signal analysis.

Even so, sometimes it's best to work in so-called 'reciprocal space' (frequency space), because then the detailed temporal or spatial profile of a pulse is less relevant.
 


Thank you Dr. Resnick.
So I guess I need to get rid of my idea

A real signal oscillates in time the way it wants, and for how long it wants.
The mathematical language of Fourier theory is just a tool, useful to use other processing tools.
Single Frequency, per se, then only indicates a constant frequency (forever so) that only belongs to pure sinusoidal functions.
I like the instantaneous frequency concept, representing how fast a signal changes its current state (its instantaneous phase) with time.

I guess, when talking about lifetime, correlation and so on in radiation processes,
saying that an emitter has a short lifetime means that it gets "disturbed" in its radiating action. As a mathematical consequence, its frequency "linewidth" is large.
The lifetime idea is then very physical to me, while the linewidth idea is more mathematical, and does not directly reflect the ondulatory behavior of the emitted signal.

Instantaneous frequency and the frequency band of the signal are not correlated.
thanks once again!
 


Hi Xezlec,
this is what i meant

take the signal cos(5*t). The phase is 5t. Take its time derivative and you get 5, a constant. taht is the instantaneous freq.

take the signal cos(5*t^2). Do the same: take the time derivative and get 5t. This means that the inst freq is a function of time.

Bye
 


actually... 10t sorry
 


Hello Dr. Resnick,

check this out, in regards to bandwidth. Dr. Paschotta shows that the spectral bandwidth of a signal is physical.


http://www.rp-photonics.com/spotlight_2007_10_11.html"


but I am not sure I get the gendanken experiment described before the beginning of the "Tow pulses section".

.Do you?
 
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