Using Fourier Analysis to Classify Running Water Noise

Team: 31

School: Capital High

Area of Science: Computer Science


Proposal: People around the world have different problems with sleeping, relaxing, or focusing on life. People get overly stressed, have a hard time focusing, or can't sleep at night. To some, this is a small obstacle, to others, these are serious predicaments to their life or health. However, there are some small ways to help with these problems. One way is to listen to specific types of noise. In nature, there are different types of noise with varied ranges of frequencies. Each of the different noises has its own effect on the human mental state when listened to. An example would be white noise, which helps with sleep.

The purpose of the project is to determine what kind of noise is produced from specific sources from nature. The one I would mainly look into is natural sources of moving water. It would allow the user to determine the kind of noise (and its benefits) produced by each source.

How I plan to proceed with the project, is that I would collect different recordings of moving water. It could be the noise from a waterfall or waves at a beach. I would then create the software and output a spectrogram of the sound files, showing the ratio of high to low frequencies. I would then compare these visual representations of each noise to the other types of noises. Based on these analyses, I hope to identify the noise produced from the input and identify what benefits it could have for one's health.


Team Members:

  Juan De la Riva

Sponsoring Teacher: Irina Cislaru

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