Quantization Noise SNR

Problem

Compute the quantization signal-to-noise ratio in dB: step = (max-min)/(2^bits-1), noise power = step^2/12, signal power = mean(x^2), and return 10*log10(signal/noise). Zero signal or zero noise returns 0.0.

The signature is quantization_noise_snr(values, bits=8).

Hint

Each extra bit adds roughly 6 dB of SNR under a fixed full-scale range.

Test cases

case 1

in: [[1,-1],8]

expected: 52.90201615587573

case 2

in: [[0,1],4]

expected: 31.303337684950062

case 3

in: [[0,0],8]

expected: 0

case 4

in: [[0.5,1.5,2],8]

expected: 58.75871190727366

Starter codePython

import math
def quantization_noise_snr(values, bits=8):
    # Your code here
    pass

4 test cases · run your code against them in the editor