Download presentation

Presentation is loading. Please wait.

Published bySantos Sample Modified over 2 years ago

1
Physics 145 Introduction to Experimental Physics I Instructor: Karine Chesnel Office: N319 ESC Tel: 801- 422-5687 kchesnel@byu.edu Office hours: on appointment Class website: http://www.physics.byu.edu/faculty/chesnel/physics145.aspx

3
Lab 12 Fourier Transform

4
Resonators Spring – mass resonator Tuning fork

5
Time – frequency Pure sine wave Time space Frequency space

6
Fourier Transform Joseph Fourier 1768 - 1830 french mathematician Decomposition of functions in linear combination of sine waves Discrete Fourier series Example: N = 3 N = 10

7
Fourier Transform Discrete Fourier series Using sine functions Using complexe notation Fourier’s trick where

8
Fourier Transform Continuous Fourier transforms Integration over time Integration over frequency range

9
Square wave Fourier Transform Time space Frequency space

10
Modulated wave Fourier Transform Time space Frequency space t

11
Power spectrum

12
Nyquist-Shannon criterion A periodic signal needs to be sampled at least at twice the frequency to be properly measured /reconstructed

13
Lab 12: Fourier Transform A. Computer generated waveforms L12.1: open Labview Fourier-waveform.vi generate different waveform examine the time functions and the frequency spectra Sine wave Square wave Modulated wave

14
Lab 12: Fourier Transform C. Fourier spectra of sound-wave L12.2: open Labview Fourier-sound.vi plug microphone + headset speakers to computer sample yourself whistling… sampling at 20kHz for 1s L12.3: Record notes produced by tuning forks look at fundamental frequency f 0 and harmonics compare fundamental frequency to nominal value L12.4: Test the Nyquist criterion - use sine wave from tuning fork (f 0 = 1kHz) - sample at different frequencies from 1kHz to 10kHz… - observe what happens to the time and frequency spectra L12.5: Generate Fourier spectra from different abrupt sounds: -clapping, yelling, popping balloons… -Print spectra

15
Lab 12: Fourier Transform C. Application: vowel sound recognition L12.6: generate Fourier spectra from vowels: a, e, o, u (hold the note steady for entire acquisition) L12.7: print series of spectra from different persons play to guess which spectrum correspond to which vowel L12.8: Record vocal input (sentences, etc…) - increase the sampling interval to several seconds at 20kHz - turn the frequency filter ON (band pass) - compare unfiltered (left) and filtered (right) signals L12.9: Play with parameters of band-pass filter ( low band-pass: 100-200Hz…. High band-pass 1kHz and more) listen to the resulting filtered signal, print spectra D. Application: frequency filter to vocal input

Similar presentations

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google