The paper expounds teaching skills of network equivalent variation in analysing and calculating complex circuit by the discussion of some teaching processes such as the foundation of the conceptcircuit network equivalent variation,the comprehension of its effect and the mastering of its condition and method.
The application of single-chlp microprocesser and large-scale integration in the display andcontrol of industrial liquid level are discussed,and problems of using a complex circuit and the unitarycharacter are soltved.
The method opens additional possibilities for analyzing how the experiment accuracy impacts the limits of discovery of individual elements of complicated circuits.
It is especially worthwhile to point out that an adaptive sub-optimum algorithm, which comes from the above method, requires even less computing-labor and is particularly suitable to more complicated circuits as well as real-time fault location.
Circuit designers are using this opportunity to make larger, more complicated circuits while maintaining similar die sizes.
The circuit-field equations are solved for each value of slip in a double iteration process where non-linear potential equations are solved in the internal loop, and the linear complex circuit equations are solved in the external loop.
However, bio-inspired vision chips have suffered from low resolution which is caused by their complex circuit structure.
The centers-of-gravity optimization method has been applied to optimize a complex circuit consisting of a dc/SFQ-converter and RSFQ voltage doubler in order to obtain maximum parameter margins.
A complex circuit is made up of more than one circuit, controlling and processing inputs or outputs.
A high-frequency clock may require more a complex circuit for clock generation.