sound processing Flashcards

1
Q

sound features

A

volume, loudness, frequency, pitch

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2
Q

frequency domain

A

representation of a signal based on how much information is contained at diefferent frequencies

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3
Q

harmonics

A

component frequencies of a fundamental frequency

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4
Q

Fourier series coefficient for k=0

A

DC component

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5
Q

what is the maximum frequency that can be detected using FFT

A

the Nyquist frequency = Fs/2

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6
Q

spectogram

A

visual representation of the spectrum of frequencies of a signal as they vary with time

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7
Q

noise

A

all unwanted signals contaminating the useful signal

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8
Q

filter

A

a system designed to maximise the useful signal, while removing the noise

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9
Q

finite impulse response

A

type of digital filter in signal processing that has a finite duration response to an input signal

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10
Q

infinite impulse response

A

have an impulse response that extends infinitely into the past and future

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11
Q

random or white noise

A

manifested by small fluctuations in the measured signal values

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12
Q

frequency response

A

describes how its output amplitude and phase change with respect to different input frequencies

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13
Q

passband

A

refers to the frequencies that passed

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14
Q

stopband

A

refers to the frequencies that are blocked

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15
Q

transition band

A

refers to the frequencies that in between passed and blocked

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16
Q

cutoff frequency

A

division between transition and band and passband

17
Q

filters in time domain

A

moving average filter

18
Q

moving average filter

A
19
Q

filters in frequency domain

A

low-pass
high-pass
band-pass
band-reject
Notch filter

20
Q

low-pass filter

A

suppresses the high frequencies

21
Q

high-pass filter

A

lets only high frequencies pass

22
Q

band-pass filter

A

lets only a range of frequencies pass

23
Q

band-reject filter

A

block a range of frequencies

24
Q

Notch filter or narrow band reject filter

A

attenuates several singular frequencies while preserving the rest

25
Q

frequency spectrum analysis

A

aims to identify which frequencies are present in a time-varying signal, at a given moment

26
Q

Fourier analysis

A

turn a time-varying signal into a frequency-varying signal

27
Q

Fourier series

A

mathematical representation that allows a periodic signal to be expressed as the sum of an infinite series of sinusoidal functions

28
Q

Fourier coeffiecent

A

tell us which frequency is present in the signal and to what extent

29
Q

What part of the FFT vector is useful?

A

only the first half, because the second half is a mirror of the first