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Telecommunication systems strive to increase the ratio of signal level to noise level in order to effectively transfer data. Noise in telecommunication systems is a product of both internal and external sources to the system. Noise is a random process, characterized by stochastic properties such as its variance, distribution, and spectral density.
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 other cases, special noise may also be tolerated or even introduced at higher levels, for example to create acoustic "privacy", or to help mask other more irritating noise sources. The process of determining the single value for a particular room is first to measure the sound frequency spectrum created by the background noise in the room ...
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 ...
A long list of noise measures have been defined to measure noise in signal processing: in absolute terms, relative to some standard noise level, or relative to the desired signal level. They include: Dynamic range, often defined by inherent noise level; Signal-to-noise ratio (SNR), ratio of noise power to signal power
1/f noise; A-weighting; Ambient noise level; Antenna noise temperature; Artificial noise; Audio noise reduction; Audio system measurements; Black noise; Blue noise; Burst noise; Carrier-to-receiver noise density; Channel noise level; Circuit noise level; Colors of noise; Comfort noise; Comfort noise generator; Cosmic noise; Crackling noise; DBa ...
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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.