SNR to Resolution Converter

snr
resolution
signal noise ratio
analog digital converter
signal processing

This page provides converters and calculators for converting between SNR (Signal-to-Noise Ratio) and resolution in N bits. It includes both:

SNR to Resolution converter

Inputs

Outputs

EXAMPLE:

INPUT: SNR (dB) = 37.9 OUTPUT: RESOLUTION (bits) = 6

Resolution to SNR converter

Inputs

Outputs

EXAMPLE:

INPUT: RESOLUTION (bits) = 6 OUTPUT: SNR (dB) = 37.9

Signal to Noise Ratio (SNR)

SNR is the ratio of the root mean square (RMS) signal frequency input to the RMS noise signal of the ADC (Analog-to-Digital Converter) from DC to the Nyquist frequency. This calculation excludes noise at DC and harmonics.

The formula for SNR is:

SNR = 20 * log10 (SIGNALrms / NOISErms)

Resolution (N)

Resolution is expressed as the number of discrete levels required to represent the digitized version of an analog signal that’s input to an ADC. The higher the resolution, the better the reconstruction of the signal. Essentially, more bits mean finer gradations.

SNR vs. Resolution Converter

The following equation/formula is used for the SNR to resolution and vice versa conversion:

SNR vs Resolution converter

THD, SNR to SINAD Converter

Convert between Total Harmonic Distortion (THD), Signal-to-Noise Ratio (SNR), and Signal-to-Noise and Distortion Ratio (SINAD) values.

signal processing
sinad
snr

ADC Dynamic Range: Definition and Equations

Explore the dynamic range of Analog-to-Digital Converters (ADCs), its definition, relevant equations, and maximum signal-to-noise ratio.

adc
dynamic range
analog digital converter

Wireless Interview Questions and Answers

A comprehensive collection of frequently asked questions (FAQs) related to wireless communication and signal processing for interview preparation.

wireless
communication
interview