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Deterministic jitter has a known non-normal distribution. Deterministic jitter can either be correlated to the data stream (data-dependent jitter) or uncorrelated to the data stream (bounded uncorrelated jitter). Examples of data-dependent jitter are duty-cycle dependent jitter (also known as duty-cycle distortion) and intersymbol interference.
Data-dependent jitter (DDJ) is a specific class of timing jitter. In particular, it is a form of deterministic jitter which is correlated with the sequence of bits in the data stream. It is also a form of ISI .
Statistics - The Jitterlyzer’s measurement routines uncover total jitter and BER directly (without requiring mathematical extrapolation). This routine for random jitter (RJ) and deterministic jitter (DJ) separation is included for completeness. Also a number is provided for RJ and DJ on real-life traffic.
Deterministic Networking (DetNet) is an effort by the IETF DetNet Working Group to study implementation of deterministic data paths for real-time applications with extremely low data loss rates, packet delay variation (jitter), and bounded latency, such as audio and video streaming, industrial automation, and vehicle control.
Jitter is often measured as a fraction of UI. For example, jitter of 0.01 UI is jitter that moves a signal edge by 1% of the UI duration. The widespread use of UI in jitter measurements comes from the need to apply the same requirements or results to cases of different symbol rates. This can be d
Louisiana’s prison system routinely holds people weeks and months after they have completed their sentences, the U.S. Department of Justice alleged in a lawsuit filed Friday. The suit against ...
A police officer in the same state said: "We're just looking for some sound, reasonable answers so that people could go about their life and not live in this hysteria that we have going."
This is useful because it puts deterministic variables and random variables in the same formalism. The discrete uniform distribution, where all elements of a finite set are equally likely. This is the theoretical distribution model for a balanced coin, an unbiased die, a casino roulette, or the first card of a well-shuffled deck.