To install click the Add extension button. That's it.

The source code for the WIKI 2 extension is being checked by specialists of the Mozilla Foundation, Google, and Apple. You could also do it yourself at any point in time.

4,5
Kelly Slayton
Congratulations on this excellent venture… what a great idea!
Alexander Grigorievskiy
I use WIKI 2 every day and almost forgot how the original Wikipedia looks like.
Live Statistics
English Articles
Improved in 24 Hours
Added in 24 Hours
Languages
Recent
Show all languages
What we do. Every page goes through several hundred of perfecting techniques; in live mode. Quite the same Wikipedia. Just better.
.
Leo
Newton
Brights
Milds

Signal-to-quantization-noise ratio

From Wikipedia, the free encyclopedia

Signal-to-quantization-noise ratio (SQNR or SNqR) is widely used quality measure in analysing digitizing schemes such as pulse-code modulation (PCM). The SQNR reflects the relationship between the maximum nominal signal strength and the quantization error (also known as quantization noise) introduced in the analog-to-digital conversion.

The SQNR formula is derived from the general signal-to-noise ratio (SNR) formula:

where:

is the probability of received bit error
is the peak message signal level
is the mean message signal level

As SQNR applies to quantized signals, the formulae for SQNR refer to discrete-time digital signals. Instead of , the digitized signal will be used. For quantization steps, each sample, requires bits. The probability distribution function (pdf) representing the distribution of values in and can be denoted as . The maximum magnitude value of any is denoted by .

As SQNR, like SNR, is a ratio of signal power to some noise power, it can be calculated as:

The signal power is:

The quantization noise power can be expressed as:

Giving:

When the SQNR is desired in terms of decibels (dB), a useful approximation to SQNR is:

where is the number of bits in a quantized sample, and is the signal power calculated above. Note that for each bit added to a sample, the SQNR goes up by approximately 6dB ().

YouTube Encyclopedic

  • 1/3
    Views:
    1 657
    3 615
    16 992
  • Explain Signal-to-quantization-noise ratio | Ekeeda.com
  • signal to quantization noise ratio derivation
  • Analysis of Quantization Error

Transcription

References

  • B. P. Lathi , Modern Digital and Analog Communication Systems (3rd edition), Oxford University Press, 1998

External links

This page was last edited on 24 November 2020, at 14:17
Basis of this page is in Wikipedia. Text is available under the CC BY-SA 3.0 Unported License. Non-text media are available under their specified licenses. Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc. WIKI 2 is an independent company and has no affiliation with Wikimedia Foundation.