Thursday, 17 December 2020

Analog signal processing


Analog signal processing, as the name implies, is the processing and application of mathematical effects to an analog signal, which usually represents a voltage or current. An analog signal can be processed in more than one field, but the most famous and most common:


  1. Time-domain.
  2. Frequency domain.
  3. Laplace field.


The reason for the multiplicity of fields is that performing operations on the signal differs in its method from one domain, but it always produces the same result.


Processing tools

There are a number of tools with which a signal can be processed and probed in a time-independent linear system, the most important of which are:

  1. Folding is used to know the output result when applying an input, in which it needs to know the impulse response of the system.
  2. Fourier transform to convert system functions from the time domain to frequency and vice versa to seek the easiest way to process and also determine the frequency spectrum.
  3. Correlation to give an idea of ​​how similar two different signals are.
  4. Laplace transforms to convert system functions from the time domain to Laplace and vice versa to facilitate some operations and determine the convergence region.


What are the most important differences between digital and analog communications?

There is a set of differences and differences between digital and analog communications, and this is evident in the advantages of each type, and the following are the most important points that represent the differences between digital and analog communications:


1- Digital communications are characterized by efficiency and stability in work compared to analog communication systems.

2- Digital communication systems have a high level of quality and efficiency in the nature and quality of the information provided in the digital future, while analog communication systems provide a lower level of quality in the information provided.

3- The advantage of digital communications by providing reliable information in order to obtain a distinguished level of work more than analog systems provide.

4- Digital communication systems depend on processing digital signals on computerized technologies and methods, which helps in facilitating the processing operations due to the use of computers more than in analog communications.

5- Digital communication systems are based on data encryption, which helps reinforce the two elements of security and protection. It does not allow receiving data except for the receiver that is allowed to do so, unlike analog communication systems.

6- Digital communication systems are economical compared to analog communication systems.

7- Digital communication systems are characterized by the presence of error correction systems that reduce the interference effect compared to analog communications.

8- Combining several signals on one channel during broadcasting in digital communication systems can be accomplished through the use of techniques and methods for digital multiple transmission, in contrast to analog communication systems.

9- Digital communication is characterized by its good performance, which is better than analog communications.

10- Digital communications do not depend on a specific type of signal, but rather deal with all types of signals, whether audio or visual.

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