Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Nikos Temenos"'
Publikováno v:
Technologies, Vol 10, Iss 1, p 14 (2022)
This work presents a soft-filtering digital signal processing architecture based on sigma-delta modulators and stochastic computing. A sigma-delta modulator converts the input high-resolution signal to a single-bit stream enabling filtering structure
Externí odkaz:
https://doaj.org/article/7924a5b1cc124602badda0da18c3a006
Publikováno v:
Technologies, Vol 10, Iss 1, p 19 (2022)
Detecting and localizing buildings is of primary importance in urban planning tasks. Automating the building extraction process, however, has become attractive given the dominance of Convolutional Neural Networks (CNNs) in image classification tasks.
Externí odkaz:
https://doaj.org/article/8d3393a3af4641fe9605336fd5be11c7
Autor:
Nikos Temenos, Paul P. Sotiriadis
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42:1965-1977
Autor:
Nikos Temenos, Paul P. Sotiriadis
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13:285-294
Autor:
Paul Sotiriadis, Nikos Temenos
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:2543-2547
Autor:
Nikos Temenos, Paul P. Sotiriadis
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29:1813-1823
Max & min architectures for stochastic computing (SC) are introduced. Their key characteristic is the utilization of an accumulator to store the signed difference between the two inputs, without randomizing sources. This property results in fast-conv
Autor:
Paul P. Sotiriadis, Nikos Temenos
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29:1612-1623
This work presents adder and subtracter architectures for stochastic computing (SC). In contrast to standard approaches, the result of their operation is nonscaling, i.e., $X\,\pm \,Y$ , and this is achieved via a deterministic operation based on a c
Publikováno v:
MOCAST
A soft-filtering processing architecture based on Sigma-Delta Modulation and Stochastic Computing is proposed. It converts a high-resolution signal using a first order digital Sigma-Delta Modulator into a single-bit one and then exploits Stochastic C
Publikováno v:
PETRA
Automatic building extraction from satellite RGB images, is a low-cost alternative to perform important urban planning tasks. Yet, it is a challenging one, especially when natural and non-city block objects interfere in the semantic segmentation of a
Autor:
Paul P. Sotiriadis, Nikos Temenos
Publikováno v:
ISCAS
Stochastic computing has been successfully applied in a plethora of applications, including machine learning, computer vision and soft coding/decoding, due to its low complexity, chip area, and power consumption advantages, as well as its tolerance t