How to convert time domaine signal into frequency domain signal

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Discussion Overview

The discussion centers around the concepts of time domain and frequency domain signals, including methods for converting between the two. Participants explore the mathematical representation of signals and the application of various transform methods in signal processing.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant expresses a lack of understanding of time domain and frequency domain signals and seeks clarification on their definitions and conversion methods.
  • Another participant mentions the relevance of Transform Methods in signal processing and questions when to use different types of transforms, such as Integral transforms and Discrete transforms.
  • A participant shares their practical experience with noise in signals obtained from an accelerometer sensor and requests ideas on how to programmatically detect and remove noise based on visual representations of the signal.

Areas of Agreement / Disagreement

The discussion does not appear to reach a consensus, as participants express varying levels of understanding and experience with signal processing concepts and methods.

Contextual Notes

There are limitations in the discussion regarding the specific conditions under which different transform methods should be applied, as well as the assumptions involved in detecting and removing noise from signals.

Who May Find This Useful

This discussion may be useful for students and professionals interested in signal processing, particularly those looking to understand the theoretical and practical aspects of converting between time and frequency domains.

rama1001
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Hi,

I am new to signal theory and don't know what is time domaine signal and frequency domaine signal. Please some can explaine me clearly and how can we convert between those two domaines.
I read the topic in wikipedia which makes me somepart clear but interested to know more.
 
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I like this topic of Signals and the way each signal can be represented mathematically. To your question the first thing that comes to my mind is Transform Methods. But my question is, when do you use all these transform methods. The ones I came across on http://en.wikipedia.org/wiki/List_of_transforms" are Integral transforms and Discrete transforms and Discrete-time transforms and Data-dependent transforms and Other transforms. Now, when do you have to use all of these transforms, do you use it on any particular occasion?
 
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Yes, i worked with them long ago. After three years again i came around here. I am using them in LABView. I have a signal that consists of noise which has taken from accelerometer sensor. The sensor is attached to a motor which has noise when the stroke touches near by mechanical part. I am going to attach the two pictures that i taken when noise frequencies are affected the original. I don't know how to proceed that the writing program should detet the these noise by seeing that noise picture and take the decision to remove that noise.

Please give me some ideas.

I am doing masters that means i need to listen to some other talented people. It is not that i know everything.
 

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