کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11020947 | 1715047 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analog perceptron circuit with DAC-based multiplier
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سخت افزارها و معماری
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This paper presents a perceptron circuit which can be implemented into a sensor analog front-end consistent with neural network-based machine learning. We introduce a DAC-based multiplier in the perceptron circuit, where the DAC is used as a programmable resistor. Compared with a traditional transconductor-based multiplier, the precision of our multiplier is formulated only by the digital codes, and it has a wide input range and a good temperature dependency. The simulation result demonstrates the DAC-based multiplier amplifies smoothly analog signal by the digital codes. Furthermore, we extend our perceptron model so as to deal with time series inputs and show a promising result by simulation. As one of an important future works, focusing on periodic signal inputs, we discuss a general architecture of perceptron circuit inspired by Fourier series.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Integration - Volume 63, September 2018, Pages 240-247
Journal: Integration - Volume 63, September 2018, Pages 240-247
نویسندگان
Yoritaka Ishiguchi, Daishi Isogai, Takuma Osawa, Shigetoshi Nakatake,