Memristor-based Approximation of Gaussian Filter

TL;DR

This paper presents a novel approach to approximate Gaussian filters using memristors and RLC circuits, aiming to enhance image processing and data transmission applications.

Contribution

It introduces a new memristor-based model for Gaussian-like filters, providing analysis and design methods for practical implementation.

Findings

Proposed a memristor-based Gaussian-like filter model

Analyzed the filter's performance and characteristics

Demonstrated potential applications in image processing and communication

Abstract

A Gaussian filter is a filter with impulse response of Gaussian function. These filters are useful in image processing of 2D signals, as it removes unnecessary noise. Also, they could be helpful for data transmission (e.g. GMSK modulation). In practice, the Gaussian filters could be approximately designed by several methods. One of these methods are to construct Gaussian-like filter with the help of memristors and RLC circuits. Therefore, the objective of this project is to find and design appropriate model of Gaussian-like filter, by using mentioned devices. Finally, one possible model of Gaussian-like filter based on memristor designed and analysed in this paper.