Analog and Digital signals are the types of signals carrying information. The major difference between both signals is that the analog signals that have a continuous electrical, while digital signals non-continuous electrical. The difference between analog and digital signal can be observed with the various examples of different types of waves.
The analog signals were used in many systems to produce signals to carry information. These signals are continuous in both values and time. The use of analog signals has been declined with the arrival of digital signals. In short, to understand the analog signals – all signals that are natural or comes naturally are analog signals.
Unlike analog signals, digital signals are not continuous but signals are discrete in value and time. These signals are represented by binary numbers and consist of different voltage values.
Difference Between Analog and Digital Signal
We know that the major difference between analog and a digital signal is that analog signals are continuous signals, while digital signals are discrete signals. In the video below we have discussed more differences between them.
Summarising, we have given the various Differences between Analog and Digital Signal in a tabular form below.
|Difference Between Analog And Digital Signal|
Both these signals are used in electronic communication system to transfer information from one place to another.
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Frequently Asked Questions – FAQs
What are some examples of digital signals?
Digital signals do not produce noise. Digital computers and digital phones are some of the examples of digital signals.
What are the examples of analog signals?
A human voice, analog phones, and thermometer are some of the examples of analog signals.
How to convert analog signal into digital signal?
For the conversion of an analog signal into a digital signal, there are two steps that needs to be followed. The first step is a sampling. In this step, continuous electrical signals with varying time are considered. Both the axis that x-axis as well as y-axis are considered. Sampling is usually done along the x-axis and is classified into two categories and they are sampling and downsampling. The second step is known as quantization. Quantization is done along the y-axis and it processes the image in which the continuous signals are divided into overlapping and non-overlapping signals.
What is sampling theorem?
Sampling theorem is defined as the continuous-time signal that can be represented in the form of samples and can be recovered back if the sampling frequency is greater than the maximum frequency of the signal.
What is under sampling?
Under-sampling is defined as the sampling frequency which is less than the maximum frequency of the signal which results in overlapping of the successive cycles of the spectrum.