sound processing Flashcards
sound features
volume, loudness, frequency, pitch
frequency domain
representation of a signal based on how much information is contained at diefferent frequencies
harmonics
component frequencies of a fundamental frequency
Fourier series coefficient for k=0
DC component
what is the maximum frequency that can be detected using FFT
the Nyquist frequency = Fs/2
spectogram
visual representation of the spectrum of frequencies of a signal as they vary with time
noise
all unwanted signals contaminating the useful signal
filter
a system designed to maximise the useful signal, while removing the noise
finite impulse response
type of digital filter in signal processing that has a finite duration response to an input signal
infinite impulse response
have an impulse response that extends infinitely into the past and future
random or white noise
manifested by small fluctuations in the measured signal values
frequency response
describes how its output amplitude and phase change with respect to different input frequencies
passband
refers to the frequencies that passed
stopband
refers to the frequencies that are blocked
transition band
refers to the frequencies that in between passed and blocked
cutoff frequency
division between transition and band and passband
filters in time domain
moving average filter
moving average filter
filters in frequency domain
low-pass
high-pass
band-pass
band-reject
Notch filter
low-pass filter
suppresses the high frequencies
high-pass filter
lets only high frequencies pass
band-pass filter
lets only a range of frequencies pass
band-reject filter
block a range of frequencies
Notch filter or narrow band reject filter
attenuates several singular frequencies while preserving the rest
frequency spectrum analysis
aims to identify which frequencies are present in a time-varying signal, at a given moment
Fourier analysis
turn a time-varying signal into a frequency-varying signal
Fourier series
mathematical representation that allows a periodic signal to be expressed as the sum of an infinite series of sinusoidal functions
Fourier coeffiecent
tell us which frequency is present in the signal and to what extent
What part of the FFT vector is useful?
only the first half, because the second half is a mirror of the first