In digital signal processing, quantization is the process of reducing the precision of a signal by assigning a finite number of discrete values to a range of continuous values. Therefore quantization range defines the difference between the highest quantized value and the lowest quantized value.

For example, if we have a signal with a dynamic range of 0 to 10 volts and we quantize it to 8 bits, the quantization range will be 127 - (-128) = 255 levels.

The quantization range is an important parameter in digital signal processing as it affects the quality of the signal. A larger quantization range results in a more precise representation of the signal, while a smaller quantization range can introduce distortion and noise.

The quantization range is also related to the quantization step size, which is the difference between two consecutive quantized values. The quantization step size is inversely proportional to the quantization range, so a larger quantization range results in a smaller quantization step size.

Quantization is used in a variety of applications, including digital audio, digital video, and digital telecommunications. In each of these applications, the quantization range is a key factor in determining the quality of the signal.