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A Time-Mode Translinear Principle an...

D'Angelo, Robert.

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A Time-Mode Translinear Principle and its Application to Analog Hardware for Pattern Recognition and Machine Learning.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Time-Mode Translinear Principle and its Application to Analog Hardware for Pattern Recognition and Machine Learning./
Author:	D'Angelo, Robert.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	182 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-02(E), Section: B.
Contained By:	Dissertation Abstracts International79-02B(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10623213
ISBN:	9780355345766

A Time-Mode Translinear Principle and its Application to Analog Hardware for Pattern Recognition and Machine Learning.
D'Angelo, Robert.

A Time-Mode Translinear Principle and its Application to Analog Hardware for Pattern Recognition and Machine Learning. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 182 p.

Source: Dissertation Abstracts International, Volume: 79-02(E), Section: B.

Thesis (Ph.D.)--Tufts University, 2017.

This work proposes a time-mode translinear principle as a process and voltage scalable technique for nonlinear analog computation that is independent of transistor physics. The principle utilizes the exponential relationships between a variable of interest and time in a first order system to realize nonlinear analog computation. A voltage-mode analog multiplier using this principle is introduced. The circuit is then reformulated as a purely time-mode multiplier to reduce the power consumption of the circuit itself as well as the analog-to-digital interface. Next, an asynchronous, differential implementation is proposed for further reducing the power consumption and boosting the dynamic range. Other useful linear and nonlinear circuit functions are also explored. Finally, the design of an application system, an analog neuromorphic image saliency algorithm, is described to motivate the new technique for pattern recognition hardware.

ISBN: 9780355345766Subjects--Topical Terms:

649834
Electrical engineering.

A Time-Mode Translinear Principle and its Application to Analog Hardware for Pattern Recognition and Machine Learning.
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300 $a 182 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-02(E), Section: B.
500 $a Adviser: Sameer R. Sonkusale.
502 $a Thesis (Ph.D.)--Tufts University, 2017.
520 $a This work proposes a time-mode translinear principle as a process and voltage scalable technique for nonlinear analog computation that is independent of transistor physics. The principle utilizes the exponential relationships between a variable of interest and time in a first order system to realize nonlinear analog computation. A voltage-mode analog multiplier using this principle is introduced. The circuit is then reformulated as a purely time-mode multiplier to reduce the power consumption of the circuit itself as well as the analog-to-digital interface. Next, an asynchronous, differential implementation is proposed for further reducing the power consumption and boosting the dynamic range. Other useful linear and nonlinear circuit functions are also explored. Finally, the design of an application system, an analog neuromorphic image saliency algorithm, is described to motivate the new technique for pattern recognition hardware.
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