Questions regarding applied waves?

  • Thread starter Thread starter zell_D
  • Start date Start date
  • Tags Tags
    Applied Waves
AI Thread Summary
The discussion centers on the challenges of matching a tuning fork's frequency with vocal hums, highlighting that while the frequency matched at maximum amplitude, achieving a perfect sine wave was difficult due to the human voice's multiple harmonics. Participants experimented with different vocal sounds, noting the variations in frequency and amplitude. The concept of white noise was also addressed, with confusion about its definition, particularly regarding equal amplitudes across all frequencies. It was clarified that a tuning fork produces only the fundamental frequency, unlike the human voice. The conversation emphasizes the complexities of sound production and perception in relation to applied waves.
zell_D
Messages
57
Reaction score
0
in class today, we hit a tuning fork and tried to match it with a humming. now what I Want to know is that is this even possible? we tried a lot of times and tried to produce a sine wave but failed horribly. although at the max amplitude, the frequency of our hum matched with that of the tuning fork... does that count lol?

we also did eeeee's and aaaaa's, but they are all different, i guess this is what's suppose to happen?

we also did hiss's, which someone bought up to be "White noise". but i thought white noises are suppose to have all frequencies present with equal amplitudes... although all freqs were present, their amplitudes weren't exactly the same (although close). why is that?

thanks
 
Physics news on Phys.org
You couldn't produce a perfect sine wave because while a tuning fork produces just the fundamental frequency the human voice produces multiple harmonics in addition giving it it's distinctive sound.

There's a good MIT online video with a professor putting the sound of several instruments through an oscilloscope and showing the resulting waves.

I'll look into the white noise question, I don't know that much about it.
 
bump :X
 
I multiplied the values first without the error limit. Got 19.38. rounded it off to 2 significant figures since the given data has 2 significant figures. So = 19. For error I used the above formula. It comes out about 1.48. Now my question is. Should I write the answer as 19±1.5 (rounding 1.48 to 2 significant figures) OR should I write it as 19±1. So in short, should the error have same number of significant figures as the mean value or should it have the same number of decimal places as...
Thread 'A cylinder connected to a hanging mass'
Let's declare that for the cylinder, mass = M = 10 kg Radius = R = 4 m For the wall and the floor, Friction coeff = ##\mu## = 0.5 For the hanging mass, mass = m = 11 kg First, we divide the force according to their respective plane (x and y thing, correct me if I'm wrong) and according to which, cylinder or the hanging mass, they're working on. Force on the hanging mass $$mg - T = ma$$ Force(Cylinder) on y $$N_f + f_w - Mg = 0$$ Force(Cylinder) on x $$T + f_f - N_w = Ma$$ There's also...
Back
Top