1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Multiplication-Free Feature Extractor for Signal Classification: Keyword Spotting Case Study
Radu Dogaru, Ioana Dogaru
A very low complexity feature extractor called next iRDT is proposed and evaluated for the problem of keyword spotting (KWS). Unlike any other types of feature extractors including…
LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy
Radu Dogaru, Ioana Dogaru
Light binary convolutional neural networks (LB-CNN) are particularly useful when implemented in low-energy computing platforms as required in many industrial applications. Herein,…
A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems
Radu Dogaru, Ioana Dogaru
This paper introduces and evaluates a freely available cellular nonlinear network simulator optimized for the effective use of GPUs, to achieve fast modelling and simulations. Its…
NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution
Radu Dogaru, Ioana Dogaru
A novel convolution neural network model, abbreviated NL-CNN is proposed, where nonlinear convolution is emulated in a cascade of convolution + nonlinearity layers. The code for it…