Dissipation minimization of two-stage amplifier using deep learning-Reference-Cited by-同舟云学术

Dissipation minimization of two-stage amplifier using deep learning

Published:2023 Issue:2 Volume:20 Page:129-145
ISSN:1451-4869
Container-title:Serbian Journal of Electrical Engineering
language:en
Short-container-title:Serb J Electr Eng

Author:

Lutovac-Banduka Maja¹^ORCID,Simovic Aleksandar²^ORCID,Orlic Vladimir³^ORCID,Stevanovic Ana⁴

Affiliation:

1. Computer Based Systems RT-RK, Belgrade, Serbia

2. ITS - Information Technology School, Department of Information Technology, Belgrade, Serbia

3. Institute Vlatacom, Belgrade, Serbia

4. The Ministry of Interior of the Republic of Serbia, Police Department Niš, Department of Information and Communication Technologies, Niš, Serbia

Abstract

Designing electrical circuits and devices is usually based on expertise in electronics and the thorough use of numerical software tools. This procedure can be time-consuming, and the designer has only one solution. This paper introduces a new approach focused on new concept design and optimization of specific circuits using symbolic expressions. The primary amplifier circuit, realized by a deep learning module, changes the value to reduce power dissipation. The control signal of the deep learning module is output from an amplifier that depends on the statistics of the input signal value.

Publisher

National Library of Serbia

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference16 articles.

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