- Noise floor
In signal theory, the noise floor is the measure of the signal created from the sum of all the noise sources and unwanted signals within a measurement system, where the noise is defined as any signal other than the one being monitored.
In radio communication and electronics, this may include thermal noise, blackbody, cosmic noise as well as Atmospheric noise from distant thunderstorms and similar and any other unwanted man made signals, sometimes referred to as incidental noise . If the dominant noise is generated within the measuring equipment (for example by a receiver with a poor noise figure ) then this is an example of an instrumentation noise floor, as opposed to a physical noise floor . These terms are not always clearly defined, and are sometimes confused. . Avoiding interference between electrical systems is the distinct subject of electromagnetic compatability EMC.
In a measurement system such as a seismograph, the physical noise floor may be set by the incidental noise, and include nearby foot traffic or a nearby road. The noise floor limits the smallest measurement that can be taken with certainty since any measured amplitude can on average be no less than the noise floor.
A common way to lower the noise floor in electronics systems is to cool the system to reduce thermal noise, when this is the major noise source. In special circumstances, the noise floor can also be artificially lowered with digital signal processing techniques.
Signals that are below the noise floor can be detected by using different techniques of spread spectrum communications, that effectively reduce the bandwidth of the signal.
- thermal noise
- cosmic noise
- Atmospheric noise
- Noise (electronic)
- Noise figure meter
- Noise level
- Thermal noise
- Signal-to-noise ratio
Noise (in physics and telecommunications) General Noise in... Class of noise Engineering terms RatiosCarrier-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-noise plus interference (SNIR) · Signal-to-quantization-noise ratio (SQNR) Related topics
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