How can I remove oscillation from a curve using selective averaging?

In summary, the conversation revolves around removing oscillation from a curve and finding the average of the oscillation values in order to plot a straight line. The speaker mentions using Origin for plotting and seeks help with selectively averaging the data.
  • #1
samarth
2
0
I want to remove the oscillation from the curve

In one of the variable i have oscillation values and i want to take avg of them so that i can plot the straight line

e.g.

X Y
100 80
110 20
120 70
130 19
140 84
120 26

I want to post process my data to look something like this
105 60
115 45
125 45.5

thus i can plot the average of the oscialltion

I can make average of whole data as oscillations are present in some part of the data and i want to do to selective avergaing of the data

can anyone help me with this? I am using Origin for plotting the graph
 
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  • #2
What you're describing sounds like interpolation (Origin will probably have facilities to do this but I don't know the details). Maybe try splines or B-splines.
 

Related to How can I remove oscillation from a curve using selective averaging?

1. What is curve oscillation and why is it a problem?

Curve oscillation is the repetitive back and forth movement of a curve, which can create inconsistencies in data and affect the accuracy of measurements. It is a problem because it can make it difficult to identify the true trend or pattern of the data.

2. What are some common causes of curve oscillation?

Curve oscillation can be caused by a variety of factors, such as measurement errors, noise in the data, or incorrect data assumptions. It can also be caused by external factors, such as changes in the environment or equipment malfunctions.

3. How can curve oscillation be reduced or eliminated?

There are several techniques that can be used to remove oscillation from a curve. These include smoothing methods, such as moving averages or exponential smoothing, as well as data filtering techniques like Fourier analysis or wavelet decomposition. In some cases, it may also be helpful to adjust the data collection process or identify and correct any underlying issues causing the oscillation.

4. Are there any risks or drawbacks to removing oscillation from a curve?

While removing oscillation can improve the overall quality of the data, there are some potential risks or drawbacks to be aware of. For example, some smoothing techniques can also smooth out important patterns or trends in the data, resulting in a loss of information. It is important to carefully consider the trade-offs and potential impacts before applying any techniques to remove oscillation.

5. Is it always necessary to remove oscillation from a curve?

No, it is not always necessary to remove oscillation from a curve. In some cases, the oscillations may be a natural part of the data and removing them could alter the true nature of the data. It is important to carefully evaluate the data and consider the purpose of the analysis before deciding whether or not to remove oscillation from a curve.

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