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Digital Communication - Quantization - Tutorialspoint

    https://www.tutorialspoint.com/digital_communication/digital_communication_quantization.htm#:~:text=Quantization%20Noise%20It%20is%20a%20type%20of%20quantization,where%20a%20regularity%20is%20not%20found%20in%20errors.
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An Audiophile’s Guide to Quantization Error, Dithering ...

    https://hometheaterhifi.com/technical/technical-reviews/audiophiles-guide-quantization-error-dithering-noise-shaping/
    Notice that the effects of quantization errors have been eliminated as previously shown in the Dithering section of this article, and the noise floor has been reduced from about 600 Hz to 16 kHz by as much as 15 dB, with the noise shifted to the region of 16 kHz to 22 kHz, so that it is as high as minus 110 dB (remember that with the 16/44.1 spectrum with dithering but …

audio - Quantization noise in matlab - Stack Overflow

    https://stackoverflow.com/questions/51796477/quantization-noise-in-matlab
    Quantization noise in matlab. Ask Question Asked 3 years, 5 months ago. Active 3 years, 5 months ago. ... Background noise removal from audio signals using FFT Python. 0. Weird frequency when plotting the recorded sound. 1. Plotting subplots in a figure automatically for each column of matrix. 1.

Quantization Noise - Washington University in St. Louis

    https://classes.engineering.wustl.edu/ese488/Lectures/Lecture5a_QNoise.pdf
    Quantization Noise Quantization is the mapping of a range of analog voltage to a single value. Staircase curve of a linear N Bit ADC Converter • Assume that the input in “busy”, moderate signal level. • Green curve is a scaled version of Vin without any quantization. • …

Quantization Noise - an overview | ScienceDirect Topics

    https://www.sciencedirect.com/topics/computer-science/quantization-noise
    Let b = Q(a) = a + q, where − Δ / 2 ≤ q ≤ Δ / 2 is the quantization noise and b is a discrete random variable usually represented with β bits. In the case where the number of quantization levels is large (so Δ is small), q is usually modeled as being uniform between −Δ/2 and Δ/2 and independent of a. The mean and variance of q are.

Quantization Noise - an overview | ScienceDirect Topics

    https://www.sciencedirect.com/topics/engineering/quantization-noise
    When the number of quantization levels is small, the quantization noise becomes signal dependent. In an image of the noise, signal features can be discerned. Also, the noise is correlated on a pixel by pixel basis and not uniformly distributed. The general appearance of an image with too few quantization levels may be described as “scalloped.”

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