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We call this sequence of data a sample path.
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For time correlation, each column of the carpet is analyzed as a sequence of data with a sampling time equal to the orbit time.
A time-series stream is a sequence of data collected in a continuous manner as time progresses.
Consider Figs. 1(a)–(d) as a sequence of data distributions of an application presented in time, initiating at t0.
In the first case we have the fractal geometric structures as the Cantor set while in the temporal context we have the structures of sequence of data generated for a system over an interval of time.
It is characteristic to streaming applications that a long sequence of data items flows through a stable set of computation steps (tasks) with only occasional control messaging and branching.
In an HMM, 'hidden' refers to a Markov chain where the states are not observable, however what can be observed is a sequence of data where each observation is a random variable whose distribution depends on the current hidden state.
A time series is an ordered finite set (a sequence) of data points, typically consisting of measurements observed successively over a time interval.
We use the term per-link flow to describe a sequence of data packets with elastic traffic transmitted along a successful transmission link.
If they can be said to live anywhere, it is in a data structure called a "blockchain". This is a sequence of data blocks containing information about transactions.
where the index refers to the th symbol interval of length, is a sequence of data symbols with symbol energy, the additive noise is a sequence of i.i.d.i.d
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com