Quantization (signal processing)

The simplest way to quantize a signal is to choose the digital amplitude value closest to the original analog amplitude. This example shows the original analog signal (green), the quantized signal (black dots), the 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.

2-bit resolution with four levels of quantization compared to analog.[2]

Quantization noise for a 2-bit ADC operating at infinite sample rate. The difference between the blue and red signals in the upper graph is the quantization error, which is

Quantization, in mathematics and digital signal processing, is the process of mapping a large set of input values to a (countable) smaller set. 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.

单词	Signal quantization
释义	Signal quantization 英语百科 Quantization (signal processing) Quantization, in mathematics and digital signal processing, is the process of mapping a large set of input values to a (countable) smaller set. 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.
随便看	gravid condyloma的意思 gravid cough的意思 gravid crab disease的意思 gravid dysentery的意思 gravid dysphoria的意思 gravid edema的意思 gravid emphysema的意思 gravid fish的意思 gravid goiter的意思 gravid hypertrichosis的意思 gravidiamagnetic的意思 gravidic的意思 gravidic emesis的意思 gravidic gingivitis的意思 gravidic retinitis的意思 gravidic stomatitis的意思 gravidin的意思 gravidism的意思 graviditas的意思 graviditas abdominalis的意思 graviditas ampullaria的意思 graviditas ampullaris的意思 graviditas eramnialis的意思 graviditas examnialis的意思 graviditas exochorialis的意思

Signal quantization

Quantization (signal processing)