Sampling And Quantization | digitales.com.au

Sampling and quantization Video

Sampling Theorem sampling and quantization

With the advent of electronics and computers, almost all the technological functions are digitized so they can be handled by computers or other digital systems. These two are key ideas in analog to digital conversion. What is Sampling? In digital signal processing, sampling is the process of breaking up a continuous signal to a discrete signal.

Introduction

A common usage of the process is the analog to digital conversion of a sound signal. The process breaks up the sound wave into intervals along the time axis to produce a sequence of signals. As a result, the values in the time axis are converted from continuous, to discrete values with corresponding magnitudes.

The sampled signal is known as the Pulse Amplitude Modulated Signal. During the process, within a defined time interval T, a single maximum amplitude a sample is selected to represent the whole interval.

An intuitive demonstration of oversampling

So rather having a continuous signal, the process develops a signal with single amplitude representing the whole time interval. However, still the sa,pling of the amplitude is continuous. The component of the system that executes this process is known as the sampler. Even though the signal has discrete values in x axis now, the signal is half continuous and cannot be correctly represented digitally. In order to sampling and quantization a completely discrete signal, a second step of discretization is carried out.

What is Quantization? In digital signal processing, quantization is the process of mapping a larger set of values to a smaller set.