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03:13 Jan 20, 2018 |
Russian to English translations [PRO] Tech/Engineering - Computers (general) | |||||||
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| Selected response from: Frank Szmulowicz, Ph. D. United States Local time: 17:09 | ||||||
Grading comment
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Summary of answers provided | ||||
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3 +2 | number of quantization bits |
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4 | bit depth |
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Summary of reference entries provided | |||
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Quantization Bit Rate |
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number of quantization bits Explanation: n an ideal analog-to-digital converter, where the quantization error is uniformly distributed between −1/2 LSB and +1/2 LSB, and the signal has a uniform distribution covering all quantization levels, the Signal-to-quantization-noise ratio (SQNR) can be calculated from Where Q is the number of quantization bits. https://en.wikipedia.org/wiki/Quantization_(signal_processin... Детерминированные оценки[править | править код] Детерминированные оценки позволяют определить абсолютные границы шума квантования в случае равномерного квантования: где b — число разрядов квантования https://ru.wikipedia.org/wiki/Шум_квантования |
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3 hrs confidence:
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7 hrs |
Reference: Quantization Bit Rate Reference information: Quantization Bit Rate -------------------------------------------------- Note added at 7 hrs (2018-01-20 10:59:07 GMT) -------------------------------------------------- Quantization Bit Rate 12 sampling intervals within each signal period -------------------------------------------------- Note added at 7 hrs (2018-01-20 11:05:28 GMT) -------------------------------------------------- OR if it is a bit then 12 bit DR= 74dB Quantization Bit rate 12 bit DR= 74dB -------------------------------------------------- Note added at 9 hrs (2018-01-20 12:39:59 GMT) -------------------------------------------------- Quantization, of course is a term used to describe moving something to its nearest points inside a set and resolution or grid, and that’s what bit depth provides with 16 bits having over 65 000 points in this grid and 24 bits having over 16 mln. A real world waveform is converted into digital one by measuring the waveforms amplitude and finding the nearest bit value to its amplitude at the point of sampling. Because real world sampling dynamic range doesn’t rely on a grid. A waveform could be halfway between two digital values at the time of sampling. So to remedy this, it is quantized to the nearest bit value and this is bit quantization. Likewise it also happens when you want to convert between bit depths. Since 16 bit depths has a much lower resolution than 24 bit. The waveform has to be requantized to much smaller number of bits. And this is done by interpolating the waveform and then resampling it using the new bit depth. -------------------------------------------------- Note added at 9 hrs (2018-01-20 12:43:59 GMT) -------------------------------------------------- Или Bit Quantization Rate Reference: http://www.trworkshop.net/forum/viewtopic.php?f=6&t=33812 |
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