Random-process Simulation and Measurements |
Contents
Preface | 1 |
Analog Simulation | 2 |
References and Bibliography | 13 |
Copyright | |
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amplifier amplitude analog computers approximately ASTRAC autocorrelation function binary cent computer runs computer setup computing elements correlation functions delay differential analyzer differential equations digital computer digital logic diode dither ensemble averages error estimate variances fluctuations frequency G. A. Korn Gaussian hybrid analog-digital Hybrid Computers implement input x(t integrator intervals iterative differential analyzer Korn linear system machine variables maximum-length McGraw-Hill mean-square output measured methods modified-adjoint-system modulo-2 Monte-Carlo method Monte-Carlo simulation multiplier noise-generator obtained operation parameter period perturbation power spectrum Prob problem produce pseudo-random Pseudo-random-noise pulses quantization random processes random variables requires reset S₁ S₂ sample averages sampled-data shaping filter shift-register sequence signal simple spectral density stationary input statistically independent subroutine switch technique thyratron time-invariant linear time-variable TIME-VARIABLE SYSTEMS tion track-hold circuit uncorrelated University of Arizona values voltage volts weighting function white noise x(t₁ X₁ yields