Examples of using Quantization in English and their translations into Bulgarian
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
In digital signal processing, quantization is the mapping a large set of values into a smaller set.
Quantization after Discrete Cosine Transform allows to control reduction of image size by rounding coefficients for sharp(high-frequency) details.
trellis quantization, and H.263, MPEG
the field at each point in space is a simple harmonic oscillator, and its quantization places a quantum harmonic oscillator at each point.
It was known that second quantization guarantees that photons obey Bose- Einstein statistics, but Klein showed that second quantization is not confined to free particles only.
This seemed so strange that Planck regarded quantization as nothing more than a mathematical trick.
Canonically, the field at each point in space is a simple harmonic oscillator, and its quantization places a quantum harmonic oscillator at each point.
and Pitch Quantization.
Noise shaping can be applied during quantization when the error is known.
Since quantization errors are unavoidable,
Quantization errors are equally likely to appear in all DSP operations and they may already exist in the recorded signal.
Quantization errors are typically the hardest ones to get rid of, but one can use dithering.
The amplitude of the noise can be within one or two levels of quantization, ie the„shaking“ that this noise will cause, will be in this range.
Dirac showed that quantization of electric charge occurs naturally if a magnetic monopole exists somewhere in the universe.
When a signal is recorded digitally(a process sometimes called quantization) and as in the example below, there is a potential for introducing systematic errors.
Masking effect: the LCD grid can mask the effects of spatial and grayscale quantization, creating the illusion of higher image quality.
simple reverb) to make them faster and to reduce quantization errors.
This fluctuation in nature gives the necessary information on the location of the waveform between two adjacent quantization levels, increasing by this the bit resolution over the real.
These differences are the noise in the recording due to the sampling and quantization process.
since there may be interactions between the dither and quantization or dithers applied later.