Problem about frequency filtering help me

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In summary, the conversation is about a homework problem regarding frequency filtering. The student received sensor data and their professor instructed them to plot the volts, perform a Fourier transform, analyze the data, and design a low pass filter. The attached file contains 4 data sets in Matlab, with the first being the value of volts and the others being plots of the volts and transformed volts. The student needs help with analyzing the data to find period properties and frequencies, as well as determining the cut off frequency. They urgently need assistance with this problem.
  • #1
kohkeun
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Problem about frequency filtering help me please urgent

Homework Statement


I received sensor's volts and professor says "plot the volts ,Fourier transform, analyze data and design low pass filter"
it is attached "data.zip"
<< zip file deleted by Mentors >>
it has 4 data in matlab
1 is ploted volts
사진1.jpg

2 is transformed volts ploted
사진2-3.jpg


Homework Equations


nothing?
low pass filtering



The Attempt at a Solution


how to analyze data (find period properties and frequencys)
how to find cut off frequency
Help me please
 
Last edited:
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  • #2


kohkeun said:

Homework Statement


I received sensor's volts and professor says "plot the volts ,Fourier transform, analyze data and design low pass filter"
it is attached "data.zip"
<< zip file deleted by Mentors >>
it has 4 data in matlab
1 is value of volts
2 is ploted volts
3 and 4 is transformed volts and ploted transformed volts



Homework Equations


nothing?
low pass filtering



The Attempt at a Solution


how to analyze data (find period properties and frequencys)
how to find cut off frequency
Help me please

Please do not post ZIP attachments. Please post in PDF or JPG formats.
 
  • #3


Hello, I understand that you are having trouble with frequency filtering. Frequency filtering is a technique used to remove unwanted frequencies from a signal, allowing you to focus on the frequencies that are of interest. In order to design a low pass filter, you will need to analyze the data and determine the frequencies that you want to remove. This can be done by looking at the Fourier transform of the signal, which will show the different frequencies present in the data. Once you have identified the frequencies you want to remove, you can design a filter that will attenuate those frequencies. The cut off frequency is the frequency at which the filter begins to attenuate the signal. This can be determined by looking at the frequency response of the filter. I suggest consulting with your professor or a colleague for further assistance with this assignment. Good luck!
 

What is frequency filtering and why is it important?

Frequency filtering is a process used to remove or isolate specific frequencies in a signal. It is important because it can help improve the quality of the signal, reduce noise, and make it easier to analyze or interpret the data.

What are some common types of frequency filters?

Some common types of frequency filters include low-pass, high-pass, band-pass, and notch filters. Each type is designed to allow certain frequencies to pass through while blocking others.

What factors should be considered when choosing a frequency filter?

When choosing a frequency filter, it is important to consider the desired frequency range, filter type, slope, and cutoff frequency. Other factors such as cost, size, and power consumption may also be important.

How does frequency filtering affect data analysis?

Frequency filtering can help improve the quality and accuracy of data analysis by removing unwanted noise and isolating specific frequencies of interest. It can also help reveal patterns or relationships in the data that may have been obscured by noise.

Are there any limitations or challenges associated with frequency filtering?

Yes, there are some limitations and challenges associated with frequency filtering. These can include signal distortion, phase shifts, and difficulty in accurately selecting the appropriate filter parameters. It is important to carefully consider these factors and continually evaluate the effectiveness of the chosen filter.

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