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Introduction to pspice : a supplement to electric circuits / James W. Nilsson

By: Nilsson, James W [author]Contributor(s): James W. Nilsson [author] | S. A. Riedel [author]Material type: Text

TextPublication details: Reading : Addison-Wesley Pub. Company, c1993Edition: Fourth editionDescription: ix, 154 pages : illustartions ; 23 cmISBN: 0201513188Subject(s): | LOC classification: TK 454 .N55i 1993

Contents:

Contents: PSpice in general-- data statements for DC analysis-- control statements for DC analysis-- output statemetns for DC analysis-- operational amplifiers-- inductors and capacitors-- time-dependent circuit response-- switches-- step response-- varying component values-- sinusoidal steady-state analysis-- computing AC power with probe-- mutual inductance-- ideal transformers-- frequency response-- pulsed sources-- fourier series-- summary

Summary: This supplement focuses on three things: (1) learning to erite PSpice programs; (2) constructing circuit models of basic devices such as op amps and transformers; and (3) learning to challenge computer output data as a means of reinforcing cofidence in simulation.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Main	National University - Manila	Electrical Engineering	General Circulation	GC TK 454 .N55i 1993 (Browse shelf (Opens below))	c.1	Available		NULIB000014563

Includes index.

Contents:
PSpice in general--
data statements for DC analysis--
control statements for DC analysis--
output statemetns for DC analysis--
operational amplifiers--
inductors and capacitors--
time-dependent circuit response--
switches--
step response--
varying component values--
sinusoidal steady-state analysis--
computing AC power with probe--
mutual inductance--
ideal transformers-- frequency response-- pulsed sources--
fourier series--
summary

This supplement focuses on three things: (1) learning to erite PSpice programs; (2) constructing circuit models of basic devices such as op amps and transformers; and (3) learning to challenge computer output data as a means of reinforcing cofidence in simulation.

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