## Random-process simulation and measurements |

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### Contents

Mathematical Description of Random Processes | 1 |

Examples of Random Processes | 8 |

A Review of Computer Techniques | 14 |

Copyright | |

21 other sections not shown

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amplifier amplitude analog computers applications approximately ASTRAC autocorrelation function bandwidth binary cent class intervals coefficients computer runs computer setup computing elements correlation functions delay differential analyzer differential equations digital computer dither electronic analog computers employ ensemble averages estimate variances Fourier frequency G. A. Korn Gaussian Hybrid Analog-digital Hybrid Computers implement input x(t integrator iterative differential analyzer Korn linear system machine variables Mathematical McGraw-Hill mean-square output measurements methods modulo-2 Monte-Carlo method multiplier obtained one-bit operation optimization parameter period permits perturbations power spectral Prob probability density problem Proc produce pseudo-random Pseudo-random-noise pulses random process random variables Rept requires reset rms error Rxx(t sample average sampled-data shaping filter shift-register sequence signal simple solution spectral density spectrum stationary input statistically independent switch T. M. Korn Techniques time-invariant time-variable TIME-VARIABLE SYSTEMS tion University of Arizona values voltage volts weighting function white noise yields York