کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

High-Precision Simple-Expandable Loser Take All (LTA) Circuit

نویسندگان :

Hossein Yaghoobzade Shadmehri¹ Ehsan Rahiminejad² Mohaddeseh Ghaeni³

1- دانشگاه تهران 2- دانشگاه صنعتی قوچان 3- دانشگاه آزاد مشهد

کلمات کلیدی :

Loser-take-all،winner-take-all،neural networks

چکیده :

A precise simple-expandable loser-take-all (LTA) circuit is presented. The proposed LTA has been designed and simulated in 0.18µm CMOS technology and 1.8V supply voltage. Two-path feedback mechanism is used to improve the precision of the circuit when the number of inputs is increased. The proposed LTA circuit is expandable by only three additional transistors per each cell. The post-layout simulations show the maximum error of 13.23mv at 1MHz operating frequency. The silicon area for 3-input LTA is about 10µm× 25µm and the power consumption is about 18µW.

لیست مقالات

لیست مقالات بایگانی شده

Model Predictive Control for Interconnected Systems with Communication Delays

Reza Mohammadikia - Mahsan Tavakoli-Kakhki

برنامه ریزی احتمالاتی بهینه فیلترهای پسیو در حضور خودروهای برقی متصل به شبکه با قابلیت جبران‌سازی هارمونیک در شبکه‌های توزیع

پریسا انجم شعاع - سعید اسماعیلی

A Transformer-Based Model for Similar Fashion Image Retrieval with Image and Text Features

Zahra Sheykhvand - Milad Farzalizadeh - Majid Meghdadi

Fractional-Order Model Prediction Attitude Control For Unmanned Aerial Vehicles

Hossein Hassanzadeh Yaghini

Controllerless SDN: A Novel Architecture to Improve Software-Defined Networks Security

Sayfollah Rohollahi - Siavash Khorsandi

Constructing a security network for improving the information vulnerability of transmission systems observability

Vahid Sohrabi Tabar - Saeid Ghassemzadeh - Sajjad Tohidi - Pierluigi Siano

Improving Artificial Neural Network Performance Using Hybrid Activation Function

Morteza Taheri - Sajad Haghzad Klidbary

Enhancing Disaster Communication: Multi-UAV Optimization for Efficient Coverage

Amirhossein Solati - Javad Zeraatkar Moghaddam - Mehrdad Ardebilipour

Superimposed Channel Estimation in OTFS Modulation Using Compressive Sensing

Omid Abbassi Aghda - Mohammad Javad Omidi - Hamid Saeedi-sourck

Improving the Performance of ST-GCN on Multi-Site rs-fMRI Data Through Time Repetition Alignment

Mehrana Calagari - Hamidreza Hakimdavoodi

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.3