(signal processing)Time domain vs Frequency domain, totally confused

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Discussion Overview

The discussion revolves around the transition from time domain to frequency domain in signal processing, exploring the implications, mathematical interpretations, and practical applications of this transformation. Participants raise questions about the physical meaning of frequency domain representations, the relationship between time and frequency domain functions, and the relevance of transfer functions in system stability analysis.

Discussion Character

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

Main Points Raised

  • One participant expresses confusion about the physical implications of transforming signals to the frequency domain, questioning how this relates to gain and phase information.
  • Another participant argues that the frequency domain is merely a mathematical technique without physical implications, suggesting that both domains represent the same signal differently.
  • It is noted that a step function contains all frequencies, and the representation (1/s) indicates that higher frequency contributions are less significant than lower frequencies.
  • A participant highlights that changing to the frequency domain simplifies the analysis of system frequency response and makes convolutions easier through multiplication.
  • Discussion includes the importance of understanding Nyquist plots and the Nyquist criterion for assessing stability in control systems.
  • One participant mentions that the Laplace transform is often used as a tool for simplifying complex calculations, emphasizing the need for familiarity with its application.
  • Another participant mentions the advantages of frequency modulation over amplitude modulation in terms of distortion resilience.
  • There is a clarification that the relationship between open-loop and closed-loop transfer functions is crucial for determining system stability.

Areas of Agreement / Disagreement

Participants express differing views on the physical implications of frequency domain analysis, with some asserting it is purely mathematical while others suggest it has significant physical meaning. The discussion remains unresolved regarding the interpretation of frequency domain representations and their implications for system behavior.

Contextual Notes

Participants reference various concepts such as transfer functions, stability criteria, and the relationship between time and frequency domain representations, but there are unresolved assumptions and dependencies on definitions that may affect understanding.

Who May Find This Useful

This discussion may be useful for students and practitioners in signal processing, control systems, and electrical engineering, particularly those seeking to understand the implications of time and frequency domain transformations.

nomisme
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Hey guys,
I am totally lost in the idea why we have to change function in time domain to frequency domain to ease with our calculations.
Let me break my question into serveral smaller ones.

1)What is the physical implication of transferring a signal to frequency domain?
(I know that in frequency domain you have the information of the gain and phase)

2)For example, in time domain a step function x(t) in piecewise, after transformation, in freq. domain it will become 1/s. It doesn't make sense to me that 1/s implies as frequency increases the gain will decrease. By looking at the time domain, it seems not to convey with such kind of information regarding the responses of other frequencies. Seriously, what does 1/s really mean? how does it relate to the time domain function?

3) Why determining the transfer function of an open loop can help to know the stability of the closed loop?

Please help.
I am totally lost.
 
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Though I don't know much I can tell what I know about frequency domain calculations
1) It is just a mathematical technique and has no physical implications. The signal whether represented in time or frequency domain has no change in itself and only the way it is viewed is different. So both are one and same on physical level.
2) It shows that step functions contains all frequencies and (1/s) shows that higher frequencies contribution to step function is less compared to low frequencies(the magnitude of higher frequencies present in a step function is lesser than that of the lower frequencies). Meaning of 1/s is the magnitude of frequency component (in step function) is inversely proportional to the frequency.

Hope this helps you a little bit
 
n.karthick said:
Though I don't know much I can tell what I know about frequency domain calculations
1) It is just a mathematical technique and has no physical implications. The signal whether represented in time or frequency domain has no change in itself and only the way it is viewed is different. So both are one and same on physical level.
2) It shows that step functions contains all frequencies and (1/s) shows that higher frequencies contribution to step function is less compared to low frequencies(the magnitude of higher frequencies present in a step function is lesser than that of the lower frequencies). Meaning of 1/s is the magnitude of frequency component (in step function) is inversely proportional to the frequency.

Hope this helps you a little bit

Hi,
Do you mean that y(t),for example, is composed of frequency components?( y(t)= Sum(1/s1+1/s2+1/s3...)?
 
There are two main reasons for changing from the time domain to the frequency domain.
1) It allows easy analysis of the frequency response of the system (if it's a filter, say)
2) Calculations are often required when passing an input signal through and LTI system. This is a convolution in the time domain. A convolution in the time domain is the same as multiplication in the frequency domain and vice versa. Obviously multiplication is easier to do than a convolution.

n.karthik is correct regarding step input/physical differences.

With regards to stability, this comes down to your understanding of Nyquist plots and the Nyquist criterion. This is a means of checking closed loop stability given the open loop transfer function. A quick google search will provide you with more in depth info on this. Also, the poles of the transfer function need to be in the negative plane.
 
nomisme said:
Hi,
Do you mean that y(t),for example, is composed of frequency components?( y(t)= Sum(1/s1+1/s2+1/s3...)?

No, Y(s)=1/s
If you want y(t) you have to take inverse transformation of Y(s)
 
ddarvil is right on. primarily its used to make life easier. Circuit analysis comes down to differential equations (inductors and caps are functions of varying parameters) and its easier to analyse all that in a different domain. Algebra is easy.

In todays world there are tons of programs and stuff so it really doesn't even matter. (granted you need to know what you're doing and why you're doing it)
 
It pays to send frequency modulated signal over the air (FM over AM) as it is much less vulnerable to distortion.
 
nomisme said:
3) Why determining the transfer function of an open loop can help to know the stability of the closed loop?
because zeros of OLTF are same as poles of CLTF
so if there are any zeros of CLTF it right side of s plane that means that poles of CLTF are on right side of s plane so CL system is unstable.
 
nomisme

i went through school without ever forming a physical understanding of that Laplace transform. I accepted it was for the intelligent people to understand but for me to just use.

for now just take it as a tool that cracks tough caluculs problems into manageable algebra problems.

With repetition you will become fluent in its use.
you will get to the point you can build a circuit just from looking at the desired transfer function.

If you figure it out in simple terms please post.
 

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