Switching network

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The term switching network ( English : combinational circuit or combinatorial circuit ) is used in technical computer science . It describes a network of elementary logical switching elements ( gates ), which are nowadays technically implemented with transistors (several transistors for each gate ) and can theoretically be investigated with the help of switching algebra .

General

Switching network: y = f (x)

A switching network represents the circuit-related display medium of a Boolean function . Each Boolean function can be represented by means of a switching network. Conversely, not all properties (e.g. time delay) of a switching network that was built up from electronic components can be represented by a Boolean function.

The switching network links Boolean input variables (summarized in the input vector x ), which can assume the values ​​1 or 0 (true or false), using a Boolean function ( f ). The variable values ​​for the switching network are represented by voltage values ​​on the input lines (for example 5 V for 1 and 0 V for 0). The output lines then have values ​​(output vector y ) that are dependent on the input values and the Boolean logic function.

The picture shows a switching network that realizes the Boolean function y = f (x).

properties

If a value x is present at the input of the switching network at a point in time , then the value y at the output depends on x only at this point in time . The time delay is neglected on the logical level, since a switching network does not contain any storage elements ( flip-flops ). In a switching network, internal states from outside cannot be differentiated.

classification

literature

  • Hans Liebig, Stefan Thome: Logical design of digital systems. 3rd edition, Springer, Heidelberg 1996, ISBN 3-540-61062-6
  • Wolfram Schiffmann, Robert Schmitz: Technical computer science 1. Basics of digital electronics. 5th edition, Springer, Berlin 2003, ISBN 3-540-40418-X
  • Heinz-Dietrich Wuttke, Karsten Henke: Switching systems - a machine-oriented introduction. Pearson Studium, Munich 2003, ISBN 3-8273-7035-3