Random-process Simulation and Measurements |
Contents
Preface | 1 |
References and Bibliography | 13 |
Analog Simulation | 22 |
Copyright | |
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amplifier amplitude analog computers applications approximately ASTRAC autocorrelation function binary coefficients computer setup correlation functions delay differential equations digital computer digital logic diode distribution dither error frequency G. A. Korn Gaussian hybrid analog-digital Hybrid Computers implement Impulse excitation initial conditions integrator iterative differential analyzer Korn linear system machine variables McGraw-Hill mean-square output measurements methods modified-adjoint modified-adjoint-system modulo-2 Monte-Carlo multipliers obtained operation period perturbations Prob probability problem produce pseudo-random Pseudo-random-noise pulses quantization random processes random variables requires reset S₁ S₂ sample averages sampled-data scale setup of Fig shaping filter shift-register sequence signal simple single computer run solution spectral density spectrum Squarers statistically independent subroutine T. M. Korn t₁ technique time-invariant time-invariant linear TIME-VARIABLE SYSTEMS tion track-hold circuit uncorrelated University of Arizona values voltage volts weighting function white noise white-noise input x(t₁ X₁ yield York zero