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 computer runs computer setup computing elements correlation functions delay differential analyzer differential equations digital computer digital logic diode dither ensemble averages ergodic error frequency G. A. Korn Gaussian H(jw Hybrid Analog-digital Hybrid Computers implement input x(t integrator iterative differential analyzer Korn linear system machine maximum-length McGraw-Hill mean-square output measured methods modified-adjoint-system modulo-2 Monte Carlo Methods Monte-Carlo multiplication obtained operation optimization parameter period perturbations power spectrum Prob problem Proc produce pseudo-random Pseudo-random-noise pulses quantization random process random variables Random-noise Rept requires reset S₁ sample averages sampled-data shaping filter shift-register sequence signal simple spectral density stationary input statistically independent subroutine switch t₁ technique 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 York zero