Digital Communication Quantization

When you quantize a signal, you introduce and error which can be defined as q[n]=xq[n]−x[n]. where q[n] is the quantization error, ...

The difference between an input value and its quantized value (such as round-off error) is referred to as quantization error, noise or distortion. A device or ... Example · Types · Noise and error characteristics · Design

In a sampling instant, the difference between the analog signal and the closest available digital signal corresponds to a quantization error.

所謂量化誤差指的是實際聲音訊號之震幅(amplitude)和數位化後所得數字之間的差異。 如果用將數位信號還原成類比訊號的角度來看，量化誤差就是失真(Distortion)。 我們可以 ...

Quantization occurs when a data type cannot represent a value exactly. In these cases, the value must be rounded to the nearest value that can be represented ...

Quantization error is the inherent uncertainty in digitizing an analog value as a result of the finite resolution of the conversion process.

Quantization error is a systematic error resulting from the difference between the continuous input value and its quantized output.

Quantization error is the difference between the analog signal and the closest available digital value at each sampling instant from the A/D converter.

The difference between an input value and its quantized value is called a Quantization Error. A Quantizer is a logarithmic function that performs Quantization ( ...