|
|
|
|
|
Anna Richelli, Paolo Faustini, Andrea Rosa and Luigi Colalongo
Digital-based differential amplifiers (DDA) are particularly suitable to low voltage digital integrated circuit technologies. This paper presents an exhaustive analysis of digital-based analog amplifiers to take advantage of today?s high-performance digi...
ver más
|
|
|
|
|
|
|
|
|
John S. Venker, Luke Vincent and Jeff Dix
A Spiking Neural Network (SNN) is realized within a 65 nm CMOS process to demonstrate the feasibility of its constituent cells. Analog hardware neural networks have shown improved energy efficiency in edge computing for real-time-inference applications, ...
ver más
|
|
|
|
|
|
|
|
|
Jaime Ramírez-Angulo, Anindita Paul, Manaswini Gangineni, Jose Maria Hinojo-Montero and Jesús Huerta-Chua
The application of the flipped voltage follower to implement two high-performance circuits is presented: (1) The first is a class AB cascode flipped voltage follower that shows an improved slew rate and an improved bandwidth by very large factors and tha...
ver más
|
|
|
|
|
|
|
|
|
Jeff Dix, Jeremy Holleman and Benjamin J. Blalock
A programmable, energy-efficient analog hardware implementation of a multilayer perceptron (MLP) is presented featuring a highly programmable system that offers the user the capability to create an MLP neural network hardware design within the available ...
ver más
|
|
|
|
|
|
|
|
|
Xuan Thanh Pham, Xuan Thuc Kieu and Manh Kha Hoang
This paper presents a capacitively coupled chopper instrumentation amplifier (CCIA) with ultra-low power consumption and programmable bandwidth for biomedical applications. To achieve a flexible bandwidth from 0.2 to 10 kHz without additional power consu...
ver más
|
|
|
|