fundamentals of sound - final exam Flashcards
speed of sound
35,000 cm/s
sound propagation
sound is a mechanical wave
moves through a medium by the movement of particles
compression
areas of high pressure
rarefaction
areas of low pressure
sine waves
simple form
pure tone
frequency, amplitude, phase
complex waves
sum of multiple sine waves
repeating patterns, more complex than simple sine waves
frequency
number of cycles completed in 1 second
Hz
f = 1/T
period
T
how long it takes for a wave to complete 1 cycle
amplitude
height of a wave
loudness
phase
position of the wave at a point in time
where in the wave it starts on the graph
measured in degrees
power spectrum
no time dimension - single point in time
x-axis = frequency
y-axis = amplitude
component frequencies
individual frequencies that make up a complex sound
fundamental frequency
common denominator of all of the component frequencies
lowest
aperiodic sounds
noise & transients
noise
no repeating pattern
white noise
transients
brief, non-repeating sounds
claps, bursts
high pass filters
passes frequencies above a certain cutoff
low pass filter
passes frequencies below a certain cutoff
bandpass filter
passes frequencies within a specific range & attenuates frequencies outside this range
bandwidth
the range of frequencies that a filter allows to pass through
series
only frequencies that will pass through both filters will pass through the combined filter
parallel
frequencies that pass through either filter will pass through the combined filter
seconds –> milliseconds
1s = 1000ms
move decimal 3 places
frequency & period
f = 1/T
T= 1/f
time domain
represents a signal over time
frequency domain
represents how much of each frequency is present in the signal at a single given time
steeper filter slope = what __________ bandwidth
narrower bandwidth
how do you determine a wave’s period from a graph
measure the time interval for 1 complete cycle of the wave
how do you identify if a waveform is periodic
it repeats its pattern at regular intervals
frequency & wavelength relationship
freq inversely proportional to wavelength
how can you match time & freq domain signals
analyze the periodicity in the time domain & the corresponding peaks in the freq domain