quantized signal - traduction vers russe
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quantized signal - traduction vers russe

PROCESS OF MAPPING A CONTINUOUS SET TO A COUNTABLE SET
Quantisation (signal processing); Quantization noise; Quantisation noise; Quantization error; 8-bit sample; Quantizing noise; Quantisation error; Quantization (sound processing); Adaptive Quantization; Quantized signal; Scalar quantization; Quantization distortion; Q-noise; Quantizer; Quantiser; Signal quantization; Quantization error model; Dead-zone quantizer; Draft:Quantizationerror draft
  • 978-1-4411-5607-5}}. Adapted from Franz, David (2004). ''Recording and Producing in the Home Studio'', p.38-9. Berklee Press.</ref>
  • 3-bit resolution with eight levels.
  • Comparison of quantizing a sinusoid to 64 levels (6 bits) and 256 levels (8 bits).  The additive noise created by 6-bit quantization is 12 dB greater than the noise created by 8-bit quantization.  When the spectral distribution is flat, as in this example, the 12 dB difference manifests as a measurable difference in the noise floors.
  • signal reconstructed]] from the quantized signal (yellow) and the difference between the original signal and the reconstructed signal (red). The difference between the original signal and the reconstructed signal is the quantization error and, in this simple quantization scheme, is a deterministic function of the input signal.

quantized signal         

общая лексика

квантованный сигнал

signal quantization         

общая лексика

квантование сигналов

quantizer         

['kwɔntaizə]

общая лексика

квантователь

преобразователь непрерывных данных в цифровые

шифратор

вычислительная техника

дискретизатор

существительное

вычислительная техника

квантизатор

квантователь

Définition

Signalling

Wikipédia

Quantization (signal processing)

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. Quantization is involved to some degree in nearly all digital signal processing, as the process of representing a signal in digital form ordinarily involves rounding. Quantization also forms the core of essentially all lossy compression algorithms.

The difference between an input value and its quantized value (such as round-off error) is referred to as quantization error. A device or algorithmic function that performs quantization is called a quantizer. An analog-to-digital converter is an example of a quantizer.

Traduction de &#39quantized signal&#39 en Russe