Cell Phone Effect on Sounds Caleb “Raising the Bar” __________ Max “The World’s Largest 3G Network” __________.

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Presentation transcript:

Cell Phone Effect on Sounds Caleb “Raising the Bar” __________ Max “The World’s Largest 3G Network” __________

Purpose  To use Fourier Analysis to compare a real-life sound to a sound filtered through a cell phone

Our Software: Audacity A free, open-source digital audio editor

Tests 0.Nothing (control) 1. Caleb note 2. Piano low 3. Piano medium 4. Piano high 5. Tuba Mouthpiece 6. “background noise” 7. Background conversation 8. Caleb voice 9. Max voice Hz Hz Hz

Test #1: Caleb’s Voice Cellphone Real-life

Test #1: Caleb’s Voice Cellphone Real-life

Caleb’s Voice, Zoomed In (.04 second) Cellphone Real-life

Analyzing the Data

Caleb’s Note, Frequencies Spectrum Cellphone Real-life

Cell phone Real-life Real-Life

Everything Cell phone Real-life

Our Findings  Intermediate frequencies added  Frequencies dropoff at 5000 Hz

Background Conversation Real-Life Cell phone

440Hz note Real-Life Cell phone

Max’s Voice Real-Life Cell phone

Audacity’s Fast Fourier Transform

#1 FFT uses condensed Fourier Series So we know this: And also this:

So we can do this: So we know this: And also this:

How Cell Phones Work  Cell phones are radios!  Cell phones convert analog signal to digital signal and send the digital signal to the cell tower picture credits: wikipedia

Converting from Analog to Digital  The soundwave is sampled every fraction of a second  In this process, frequencies are lost  A lower-resolution sound is produced Courtesy of howstuffworks.com

440Hz note Real-Life Cell phone

Why?  Human hearing range is 12Hz-20000Hz  Humans hear best from Hz Cell phone Real-life

Conclusion  Cell phone reduces sounds above 5000Hz  Cell phone adds intermediate frequencies

The End

Audacity’s Fast Fourier Transform

Sample Size Does Not Matter

Audacity’s Fast Fourier Transform Thanks UMich!

#2 “Fourier Transformation is a Linear Operation” “ The transform of a constant times a function is that same constant times the transform of the function” Quoted from Numerical Recipes in C, p497