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Environmental noise can be any external noise that can potentially impact the effectiveness of communication. [2] These noises can be any type of sight (i.e., car accident, television show), sound (i.e., talking, music, ringtones), or stimuli (i.e., tapping on the shoulder) that can distract someone from receiving the message. [3]
In telecommunications, the term channel noise level has the following meanings: The ratio of the noise in the communication channel at any point in a transmission system to an arbitrary level chosen as a reference. [a] [b] The noise power spectral density in the frequency range of interest. The average noise power in the frequency range of ...
The CIR resembles the carrier-to-noise ratio (CNR or C/N), which is the signal-to-noise ratio (SNR or S/N) of a modulated signal before demodulation. A distinction is that interfering radio transmitters contributing to I may be controlled by radio resource management , while N involves noise power from other sources, typically additive white ...
In speech communication, intelligibility is a measure of how comprehensible speech is in given conditions. Intelligibility is affected by the level (loud but not too loud) and quality of the speech signal, the type and level of background noise, reverberation (some reflections but not too many), and, for speech over communication devices, the properties of the communication system.
In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible (in theory) to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel.
In information theory and telecommunication engineering, the signal-to-interference-plus-noise ratio (SINR [1]) (also known as the signal-to-noise-plus-interference ratio (SNIR) [2]) is a quantity used to give theoretical upper bounds on channel capacity (or the rate of information transfer) in wireless communication systems such as networks.
Speech Interference Level (SIL) is an acoustical parameter calculated from sound pressure levels measured in octave bands.It is used to characterize a noise signal in the frequency range where the human ear has its highest sensitivity.
In signal processing theory, Gaussian noise, named after Carl Friedrich Gauss, is a kind of signal noise that has a probability density function (pdf) equal to that of the normal distribution (which is also known as the Gaussian distribution). [1] [2] In other words, the values that the noise can take are Gaussian-distributed.