Infrasound arrays at infrasound monitoring station in Qaanaaq, Greenland.
Infrasound is a type of sound with a frequency lower than humans can hear . This frequency is lower than 20 hertz . When the frequency is lower but the volume is loud enough, humans can feel the vibrations but cannot hear the infrasound. Younger people have the ability to hear lower and higher frequencies. Some animals including whale s and elephant s can communicate long distances by infrasound.
Related pages
Noise (physics and telecommunications)
General
Acoustic quieting
Distortion (signal processing)
Noise cancellation
Noise control
Noise measurement
Noise power
Noise reduction
Noise temperature
Phase distortion
Noise (spectral phenomenon)
Noise in... Class of noise
Additive white Gaussian noise (AWGN)
Atmospheric noise
Background noise
Brownian noise
Burst noise
Cosmic noise
Flicker noise
Gaussian noise
Grey noise
Infrasound
Jitter
Johnson–Nyquist noise (thermal noise)
Pink noise
Quantization error (or q. noise)
Shot noise
White noise (picture )
Coherent noise
Value noise
Gradient noise
Worley noise
Engineering terms
Channel noise level
Circuit noise level
Effective input noise temperature
Equivalent noise resistance
Equivalent pulse code modulation noise
Impulse noise (audio)
Noise figure
Noise floor
Noise shaping
Noise spectral density
Noise, vibration, and harshness (NVH)
Phase noise
Pseudorandom noise
Statistical noise
Ratios
Carrier-to-noise ratio (C /N )
Carrier-to-receiver noise density (C /kT )
dBrnC
Eb /N0 (energy per bit to noise density)
Es /N0 (energy per symbol to noise density)
Modulation error ratio (MER )
Signal, noise and distortion (SINAD )
Signal-to-interference ratio (S /I )
Signal-to-noise ratio (S /N , SNR )
Signal-to-noise ratio (imaging)
Signal-to-interference-plus-noise ratio (SINR )
Signal-to-quantization-noise ratio (SQNR )
Contrast-to-noise ratio (CNR )
Related topics Denoise methods
General 2D (Image)
Gaussian blur
Anisotropic diffusion
Bilateral filter
Non-local means
Block-matching and 3D filtering (BM3D)
Shrinkage Fields
Denoising autoencoder (DAE)
Deep Image Prior