Random-process Simulation and Measurements |
Contents
Preface | 1 |
Analog Simulation | 2 |
References and Bibliography | 13 |
Copyright | |
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amplifier amplitude analog computers applications approximately ASTRAC autocorrelation function averaging filter bandwidth binary cent computer runs computer setup computing elements correlation functions delay differential analyzer differential equations digital computer diode dither Electronic Analog ensemble averages ergodic estimate variance frequency G. A. Korn H(jw Hybrid Analog-digital hybrid-computer input x(t integrator iterative differential analyzer Korn linear system maximum-length McGraw-Hill mean-square output measured methods modulo-2 Monte Carlo Methods Monte-Carlo Monte-Carlo simulation multiplier obtained operation optimization parameter period perturbations power spectrum Prob probability distribution Proc produce pseudo-random Pseudo-random-noise pulses quantization random process random sample random variables random-phase Rept requires reset rms error S₁ sample averages sample-hold sampled-data shaping filter shift-register sequence signal simple spectral density statistically independent switch t₁ Techniques time-variable TIME-VARIABLE SYSTEMS tion tolerance interval uncorrelated University of Arizona values voltage volts white noise x(t₁ X₁ yields