What is a good signal to noise ratio for speakers?

What is a good signal to noise ratio for speakers?

It is generally considered that a good signal to noise ratio is 60 dB or more for a phono turntable, 90 dB or more for an amplifier or CD player, 100 dB or more for a preamp.

What should be the SNR margin?

Noise margin (also known as Signal-to-noise ratio margin, SNR) — is used to measure line quality and defines a minimum limit at which the signal level is above the noise level. The ‘Noise margin’ value should be 6 dB and higher. It can reach values up to 30 dB if a short wire is used.

How to generate a noise based on the SNR?

If you were given the SNR in decibels and was asked to generate a noise based on it, you can use the following equation: In the third function you’re generating the output signal by adding the frequency components of each signal, but if it’s just an additive gaussian noise, you could just add the noise to the signal. (I’m not exactly sure on this).

How does the Gaussian noise function in Python work?

So you’re returning the SNR in decibels at the end. Your gaussian noise function generates the noise based on a scaling factor k of the signal max amplitude. Since you want to scale the amplitude of the noise based on your signal, i believe you want a relationship of:

When to use Gaussian distribution or uniform distribution?

Since you are summing amplitudes you need to use 10^ (-SNR/20). You use gaussian distribution for the noise but uniform distribution for the signal. rand () and randn () work differently and result in different signal power.

How to generate a noise in a function?

Note that in my code, I use noise = sqrt (noise_power/2) * randn (…) to generate the noise, i.e. I transform the noise power into the noise amplitude prior to multiplying the normal random variable (which corresponds to changing the factor 10 to 20 in the exponent). Also remember the rule