In this paper a method called “signal flow graph (SFG)” is presented, which represents a system by its signal flows, in abstract term it is a directed and weighted graph with signals in nodes and functions on edge. The edges of this graph are small processing units which process the incoming signals in specific form and send the result to all outgoing nodes. The SFG allows a good visual inspection into complex feedback problems. Furthermore such a presentation allows for a clear and unambiguous description of a generating system, for example, a netview. A Signal Flow Graph (SFG) allows a fast and practical network analysis based on a clear data presentation in graphic format of the mathematical linear equations of the circuit. During creation of SFGs the Direct Current-Case (DC-Case) was observed since the correct current and voltage directions was drawn from zero frequency. In addition, the mathematical axioms, which are based on field algebra, are declared.
In this paper a method called “signal flow graph (SFG)” is presented, which represents a system by its signal flows, in abstract term it is a directed and weighted graph with signals in nodes and functions on edge. The edges of this graph are small processing units which process the incoming signals in specific form and send the result to all outgoing nodes. The SFG allows a good visual inspection into complex feedback problems. Furthermore such a presentation allows for a clear and unambiguous description of a generating system, for example, a netview. A Signal Flow Graph (SFG) allows a fast and practical network analysis based on a clear data presentation in graphic format of the mathematical linear equations of the circuit. During creation of SFGs the Direct Current-Case (DC-Case) was observed since the correct current and voltage directions was drawn from zero frequency. In addition, the mathematical axioms, which are based on field algebra, are declared.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | December 31, 2017 |
Published in Issue | Year 2017 Issue: Özel Sayı - Special Issue |