Random Processes: Measurement, Analysis and Simulation

Abstract

1. Environmental Processes, Their Measurement and Recording. Choice of measuring conditions and measured locations. Recording of measured processes. 2. Evaluation of Random Process Properties. Random process sampling. Evaluation of occurrences of characteristic parameters. Evaluation of processes as continuous random quantities. Evaluation of processes as time series. 3. Simulation of Random Processes. Generation of random numbers with a given distribution. Simulation of a random process by sinusoidal cycles. Simulation of a random process by sinusoidal half cycles. Simulation of transitions between ordinates. Simulation of local process extremes (envelopes). Simulation of the statistical characteristics of random processes. Simulation of non-stationary random processes. 4. Conclusions. References. Subject Index.