Signal-to-Noise Ratio (SNR) defined as:
This error e must be between -\Delta/2 and \Delta/2, where \Deltais the interval between successive levels depends on two parameters:
1. Number of levels, i.e. 2^n,
2. The dynamic range (max - min) of the input signal. Let's denote as D.
Assume the quantization error e is uniformly distributed between -\Delta/2 and \Delta/2,
Thus, SNR can be improved by
1. raising the signal power, Ps,
2. reducing the signal dynamic range, D,
3. increase the number of bits, n.
"6-dB rule" : it's convenient to remember that every additional bit will improve the SNR by 20log2 = 6 dB
This error e must be between -\Delta/2 and \Delta/2, where \Deltais the interval between successive levels depends on two parameters:
1. Number of levels, i.e. 2^n,
2. The dynamic range (max - min) of the input signal. Let's denote as D.
Assume the quantization error e is uniformly distributed between -\Delta/2 and \Delta/2,
Thus, SNR can be improved by
1. raising the signal power, Ps,
2. reducing the signal dynamic range, D,
3. increase the number of bits, n.
"6-dB rule" : it's convenient to remember that every additional bit will improve the SNR by 20log2 = 6 dB
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