Mar 7, 2007 · In this paper we present an array based network analyzer for Broadband Integrated Services Digital Networks. The analyzer is laid as a linear ...
An Efficient Network Analyser Based on Linear Array Architecture. S. Metallinos, D. Reisis, and G. Stassinopoulos. Parallel Algorithms Appl., 2 (1-2): 139 ...
S. N. Metallinos, Dionisios I. Reisis, George I. Stassinopoulos: An Efficient Network Analyser Based on Linear Array Architecture.
AN EFFICIENT NETWORK ANALYSER BASED ON LINEAR ARRAY ARCHITECTURE · xml · S. N METALLINOS, D. I REISIS & G. I STASSINOPOULOS. Pages: 139-147. Published online: ...
This highly integrated architecture allows engineers to simplify their test setups for amplifiers, mixers, frequency converters, and other active devices.
Deep Convolutional Neural Networks (DCNNs) are very useful for image-based pattern classification problems because of their efficient feature extraction ...
An Efficient Network Analyser Based on Linear Array Architecture. 139-147. Electronic Edition (link) BibTeX. Volume 2, Number 3, 1994. David J. Evans, W. S. ...
Efficient Neural Network Approach for 2D DOA Estimation based on ...
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May 22, 2017 · In this paper, we present an efficient Artificial Neural Network (ANN)-based model to estimate both azimuth and elevation arrival angles of ...
[PDF] On the Power of the Linear Array Architecture for - UMBC CSEE
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Abstract. We consider the problem of scheduling the execution of programs on the linear array architecture. A program is represented by a directed acyclic ...
The focus of the paper is on the development of surrogate models with different architectures, comparing them in terms of accuracy and computational efficiency.