Difference between formula of SNR and SQNR?

1. What is the difference between SNR and SQNR?
2. What is the formula for SNR?
3. How is SQNR calculated?
4. Why do we calculate SNR?

What is the difference between SNR and SQNR?

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.

What is the formula for SNR?

Furthermore, for power, SNR = 20 log (S ÷ N) and for voltage, SNR = 10 log (S ÷ N). Also, the resulting calculation is the SNR in decibels. For example, your measured noise value (N) is 2 microvolts, and your signal (S) is 300 millivolts.

How is SQNR calculated?

To calculate the signal-to-noise ratio, you need the level of both the signal and the noise. Then: If you have the signals in decibels (dB), subtract noise from the signal. If your calculations are in watts, use the power signal-to-noise ratio formula SNR = 10 × log(signal / noise) .

Why do we calculate SNR?

SNR is imperative to distinguish various output signals to achieve efficient output. Signal-to-Noise Ratio is typically expressed in terms of decibels. The higher the SNR value, the better is the output. The reason is that there's more useful information (signal) than unwanted data (noise) in a high SNR output.