Widrow-Hoff LMS Adaline Demonstrator for Schools and Colleges

Stephen Alty; Clive Cheong Took

Widrow-Hoff LMS Adaline Demonstrator for Schools and Colleges

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Downloads (Pure)

Abstract

The Widrow-Hoff LMS (or ‘Adaline’) algorithm developed
originally in 1960 is fundamental to the operation of countless
signal processing machine learning systems in use even
today. Bernard Widrow and Ted Hoff famously developed
an Adaline machine demonstrator using basic analog off
the shelf components to show how a ‘perceptron’ could
be trained manually [1]. This paper details the design and
development of a fully digital Adaline Least-Mean-Square
algorithm demonstrator. The simplistic design presented here
is completely open-source with all code, bill of materials
and 3D casing models available at this Github Repository for
download and reproduction. The demonstrator enables quick
visualisation of the training and testing of a simple perceptron
algorithm running on the inexpensive Arduino platform. The
total costs of the device is estimated to be less than $60 and
could be used in classrooms and colleges the world-over to
demonstrate the seminal work of Widrow and Hoff [2] to a
wide audience.

Original language	English
Title of host publication	International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Place of Publication	South Korea
Publisher	IEEE
Publication status	Accepted/In press - 15 Apr 2024

Keywords

Widrow-Hoff
Adaline
LMS
Educational Demonstrator

Access to Document

ICASSP2024
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 2.72 MBLicence: Other

Cite this

@inproceedings{4af094c237e2400db702298409da095e,

title = "Widrow-Hoff LMS Adaline Demonstrator for Schools and Colleges",

abstract = "The Widrow-Hoff LMS (or {\textquoteleft}Adaline{\textquoteright}) algorithm developedoriginally in 1960 is fundamental to the operation of countlesssignal processing machine learning systems in use eventoday. Bernard Widrow and Ted Hoff famously developedan Adaline machine demonstrator using basic analog offthe shelf components to show how a {\textquoteleft}perceptron{\textquoteright} couldbe trained manually [1]. This paper details the design anddevelopment of a fully digital Adaline Least-Mean-Squarealgorithm demonstrator. The simplistic design presented hereis completely open-source with all code, bill of materialsand 3D casing models available at this Github Repository fordownload and reproduction. The demonstrator enables quickvisualisation of the training and testing of a simple perceptronalgorithm running on the inexpensive Arduino platform. Thetotal costs of the device is estimated to be less than $60 andcould be used in classrooms and colleges the world-over todemonstrate the seminal work of Widrow and Hoff [2] to awide audience.",

keywords = "Widrow-Hoff, Adaline, LMS, Educational Demonstrator",

author = "Stephen Alty and {Cheong Took}, Clive",

year = "2024",

month = apr,

day = "15",

language = "English",

booktitle = "International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

}

TY - GEN

T1 - Widrow-Hoff LMS Adaline Demonstrator for Schools and Colleges

AU - Alty, Stephen

AU - Cheong Took, Clive

PY - 2024/4/15

Y1 - 2024/4/15

N2 - The Widrow-Hoff LMS (or ‘Adaline’) algorithm developedoriginally in 1960 is fundamental to the operation of countlesssignal processing machine learning systems in use eventoday. Bernard Widrow and Ted Hoff famously developedan Adaline machine demonstrator using basic analog offthe shelf components to show how a ‘perceptron’ couldbe trained manually [1]. This paper details the design anddevelopment of a fully digital Adaline Least-Mean-Squarealgorithm demonstrator. The simplistic design presented hereis completely open-source with all code, bill of materialsand 3D casing models available at this Github Repository fordownload and reproduction. The demonstrator enables quickvisualisation of the training and testing of a simple perceptronalgorithm running on the inexpensive Arduino platform. Thetotal costs of the device is estimated to be less than $60 andcould be used in classrooms and colleges the world-over todemonstrate the seminal work of Widrow and Hoff [2] to awide audience.

AB - The Widrow-Hoff LMS (or ‘Adaline’) algorithm developedoriginally in 1960 is fundamental to the operation of countlesssignal processing machine learning systems in use eventoday. Bernard Widrow and Ted Hoff famously developedan Adaline machine demonstrator using basic analog offthe shelf components to show how a ‘perceptron’ couldbe trained manually [1]. This paper details the design anddevelopment of a fully digital Adaline Least-Mean-Squarealgorithm demonstrator. The simplistic design presented hereis completely open-source with all code, bill of materialsand 3D casing models available at this Github Repository fordownload and reproduction. The demonstrator enables quickvisualisation of the training and testing of a simple perceptronalgorithm running on the inexpensive Arduino platform. Thetotal costs of the device is estimated to be less than $60 andcould be used in classrooms and colleges the world-over todemonstrate the seminal work of Widrow and Hoff [2] to awide audience.

KW - Widrow-Hoff

KW - Adaline

KW - LMS

KW - Educational Demonstrator

M3 - Conference contribution

BT - International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

CY - South Korea

ER -