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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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Why is distorted / quantized white noise still white noise?
White noise is defined as having a flat spectrum over the entire frequency range. Using uncorellated random numbers is just one of many methods to generate this, but by far not the only or the best on …
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Why is distorted / quantized white noise still white noise?
Two answer your question, a single unit sample with value 1 has a perfect flat spectrum, and so has a sequence of uncorrelated unit samples.
The distribution does not matter here unless the pauses bet …