Comparing Signal Processing Hardware-Synthesis Methods Based on the Matlab Tool-Chain

2011 ◽  
Author(s):  
Rico Zoss ◽  
Andreas Habegger ◽  
Vinzenz Bandi ◽  
Josef Goette ◽  
Marcel Jacomet
Keyword(s):  
Signal Processing ◽  
Synthesis Methods ◽  
Hardware Synthesis ◽  
Tool Chain

FROM CIRCUITS TO NEUROFUZZY NETWORKS: SYNTHESIS BY NUMERICAL AND LINGUISTIC INFORMATION

2004 ◽  
Vol 13 (01) ◽  
pp. 205-236
Author(s):  
MASSIMO PANELLA ◽  
ANTONELLO RIZZI ◽  
FABIO MASSIMO FRATTALE MASCIOLI ◽  
GIUSEPPE MARTINELLI
Keyword(s):  
Signal Processing ◽  
Fuzzy Logic ◽  
Network Architecture ◽  
Clustering Algorithms ◽  
Synthesis Methods ◽  
Input Output ◽  
Linguistic Information ◽  
Numerical Examples ◽  
Output Mapping ◽  
Neurofuzzy Networks

Neurofuzzy networks allow to directly manipulate the information concerning the realization of a required input–output mapping. They constitute an important sector of the emerging field of Intelligent Signal Processing. In the present paper a comparison is firstly carried out between the neurofuzzy and the circuit approaches, taking into account that traditionally the latter plays the same role as the former with respect to signal processing. In the case of neurofuzzy networks, the mapping of interest is described by numerical examples and by linguistic sentences regarding its properties, as given by experts on the basis of their experience. This information is manipulated by neurofuzzy networks on the basis of fuzzy logic. After a short survey of the basic ingredients of a neurofuzzy network, two representative architectures and several synthesis procedures are proposed. Traditional synthesis methods cannot be applied for pursuing numerical information and are consequently replaced by clustering algorithms. The linguistic information, on the contrary, can be directly incorporated in the network architecture, as it is given by the experts. As a consequence, the neurofuzzy networks partially mimic humans in facing the task to be accomplished. Detailed examples are presented for illustrating the proposed architectures and synthesis procedures.

Sparse Image and Signal Processing

2009 ◽  
Author(s):  
Jean-Luc Starck ◽  
Fionn Murtagh ◽  
Jalal Fadili
Keyword(s):  
Signal Processing

Signal Processing for In-Line Inspection of Gas Transmission Pipelines

1996 ◽  
Vol 8 (1) ◽  
pp. 233-247
Author(s):  
S. Mandayam ◽  
L. Udpa ◽  
S. S. Udpa ◽  
W. Lord
Keyword(s):  
Signal Processing ◽  
Transmission Pipelines

Hotspots in Psychology – 2020 Edition

2020 ◽  
Vol 228 (1) ◽  
pp. 1-2
Author(s):  
Michael Bošnjak ◽  
Nadine Wedderhoff
Keyword(s):  
Systematic Reviews ◽  
Research Synthesis ◽  
Synthesis Methods ◽  
Common Denominator ◽  
The Common ◽  
Meta Analyses

Abstract. This editorial gives a brief introduction to the six articles included in the fourth “Hotspots in Psychology” of the Zeitschrift für Psychologie. The format is devoted to systematic reviews and meta-analyses in research-active fields that have generated a considerable number of primary studies. The common denominator is the research synthesis nature of the included articles, and not a specific psychological topic or theme that all articles have to address. Moreover, methodological advances in research synthesis methods relevant for any subfield of psychology are being addressed. Comprehensive supplemental material to the articles can be found in PsychArchives ( https://www.psycharchives.org ).

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