How to Reduce Quantization Error in Pcm?

A new technique to reduce the effect of quantization noise in PCM speech coding is proposed. The procedure consists of using dither noise to ensure that the quantization errors can be modeled as additive signal-independent noise, and then reducing this noise through the use of a noise reduction system.

How can we reduce quantization error?

Reduction in coefficient quantization errors and quanti- zation noise can be achieved in several ways, as follows: 1) By using low-sensitivity low-noise digital-filter struc- tures [ l]-[6]. 2) By optimizing the amplitude response over a discrete-parameter space [6]-[ 111.

What is the quantization error in PCM?

Quantization error is the difference between the analog signal and the closest available digital value at each sampling instant from the A/D converter. Quantization error also introduces noise, called quantization noise, to the sample signal.