We are independent & ad-supported. We may earn a commission for purchases made through our links.
Advertiser Disclosure
Our website is an independent, advertising-supported platform. We provide our content free of charge to our readers, and to keep it that way, we rely on revenue generated through advertisements and affiliate partnerships. This means that when you click on certain links on our site and make a purchase, we may earn a commission. Learn more.
How We Make Money
We sustain our operations through affiliate commissions and advertising. If you click on an affiliate link and make a purchase, we may receive a commission from the merchant at no additional cost to you. We also display advertisements on our website, which help generate revenue to support our work and keep our content free for readers. Our editorial team operates independently of our advertising and affiliate partnerships to ensure that our content remains unbiased and focused on providing you with the best information and recommendations based on thorough research and honest evaluations. To remain transparent, we’ve provided a list of our current affiliate partners here.
Engineering

Our Promise to you

Founded in 2002, our company has been a trusted resource for readers seeking informative and engaging content. Our dedication to quality remains unwavering—and will never change. We follow a strict editorial policy, ensuring that our content is authored by highly qualified professionals and edited by subject matter experts. This guarantees that everything we publish is objective, accurate, and trustworthy.

Over the years, we've refined our approach to cover a wide range of topics, providing readers with reliable and practical advice to enhance their knowledge and skills. That's why millions of readers turn to us each year. Join us in celebrating the joy of learning, guided by standards you can trust.

What is Analog Signal Processing?

By Jason C. Chavis
Updated: May 21, 2024
Views: 17,161
Share

Analog signal processing is the mathematical operation or analysis of analog signals through analog means. This can be conducted in either a discrete or continuous time frame and represents the main way in which these operations perform. Usually this processing involves some form of control, filtering, deblurring or denoising.

In order for the signal to be analog, it must have a continuous value. Basically, the signal must feature a time varying flow of information. Each fluctuation in the signal has important meaning, unlike digital, which deals with numeric representation. The most common context of analog is in electronics, when a signal is sent as physical information.

In terms of audio, analog signal processing is responsible for the changes in bass, treble and volume controls. Video and television use the processing techniques to control the picture's tint. In each of these cases, the voltage and current are controlled by a series of capacitors, resistors, inductors and transistors.

Analog signal processing is defined in the concept of convolution. Convolution defines the parameters in which an input signal combines with the function of a system to determine the accurate output signal. With two analog waveforms, the convolution is the factor in which one of the waveforms is reversed and shifted. To calculate convolution, the first waveform is reversed and shifted to become identical to the second waveform. This creates the analog signal.

The concept of Fourier transformation is also important to analog signal processing. It defines the situation in which the operation transforms a complex analog signal into a series of individual components. This can occur over a period of time or frequency. An example of Fourier transformation is breaking down a musical chord into a number of individual notes.

Frequently, different types of signals are used in analog signal processing. These include sinusoids, impulses and steps. Sinusoids are the basic feature of processing. They demonstrate the deviations in analog through frequency and time variables. Impulses are signals that represent an infinite magnitude and width. The step signals are immediate pulses of information. They demonstrate the sudden input response, similar to the effects of turning a switch.

A number of everyday systems use the concept of analog signal processing. Changing the channel on an analog television requires the signal be filtered and processed in a certain way. AM/FM radio processes the various analog signals transported throughout the airwaves and creates the output information. Electric guitars also use an analog concept to produce music. The guitar's inductor turns the strings' vibration into electric current.

Share
All The Science is dedicated to providing accurate and trustworthy information. We carefully select reputable sources and employ a rigorous fact-checking process to maintain the highest standards. To learn more about our commitment to accuracy, read our editorial process.
Discussion Comments
Share
https://www.allthescience.org/what-is-analog-signal-processing.htm
Copy this link
All The Science, in your inbox

Our latest articles, guides, and more, delivered daily.

All The Science, in your inbox

Our latest articles, guides, and more, delivered daily.