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Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements. Rounding and truncation are typical examples of quantization processes.

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AWGN model of Quantization Noise

I'm afraid I'm missing big points about quantization noise. … Note that for any value of alpha I can observe quantization noise as 1/sqrt(12) by just taking: std(I-Iq) It seems I can't measure the final noise as Iq_std_meas = std(Iq). …
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AWGN model of Quantization Noise

I'm expecting to be able to model the output noise as Iq_std_model = alpha+1/sqrt(12) That's the big fundamental point that I was missing. Standard deviation sums in quadrature, duh! Using Iq_std_mo …
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