Deconvolution: an introduction

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DOI:

https://doi.org/10.20873/uft.2675-3588.2023.v4n2.p45-48

Keywords:

Convolution, Deconvolution, Noise.

Abstract

 

Abstract- Convolution is a way of combining two signals to obtain a third signal. It is an important technique in linear systems. Using the strategy of decomposing an impulse, systems are described by a signal called the impulse response. Convolution is important because it relates three signals of interest: the input signal, the output signal and the impulse response. The inverse operation of convolution is sometimes known as deconvolution. In this paper we talk about deconvolution, the inverse operation to convolution. We present the generalised theory and a brief case study with and without noise.

 

Keywords-Convolution, Deconvolution, Noise.

Published

2023-10-16

How to Cite

[1]
Melo, M. et al. 2023. Deconvolution: an introduction. Academic Journal on Computing, Engineering and Applied Mathematics. 4, 2 (Oct. 2023), 45–48. DOI:https://doi.org/10.20873/uft.2675-3588.2023.v4n2.p45-48.

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