Probability, Random Variables, and Stochastic Processes¶
Papoulis, A., & Pillai, S. U. (2002). Probability, Random Variables, and Stochastic Processes. McGraw-Hill.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Measurement Uncertainty and Observational Noise
- A noisy thermometer measures an undisturbed (or less disturbed) system imprecisely; a disturbing measurement changes the system, whether the observation is precise or noisy, a separation between observation noise and system perturbation that Papoulis and Pillai (2002) develop within their canonical treatment of probability and stochastic processes.
This sourceClassic engineering reference on stochastic processes: distinguishes additive observation noise (which corrupts measurement without altering the underlying process) from input perturbation (which drives the process itself).
- A noisy thermometer measures an undisturbed (or less disturbed) system imprecisely; a disturbing measurement changes the system, whether the observation is precise or noisy, a separation between observation noise and system perturbation that Papoulis and Pillai (2002) develop within their canonical treatment of probability and stochastic processes.
Domain-specific¶
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Registry ID ref:c5e1488ed986 · see in the full table