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sliding window
Restoration of a signal and its instantaneous spectral characteristics by the sliding window method
      
Prediction of strong earthquakes with the use of the scalar product of matrices with a sliding window
      
The algorithm for finding this commonality is implemented by means of procedures on Boolean matrices with a sliding window and has been approved for the earthquakes in Kamchatka and the Kuril Islands.
      
The invariants are found by approximation using generalized moments computed in a sliding window by a parallel recursive algorithm.
      
The asymptotic Hankel transform with a short sliding window is applied to the complex sound pressure field in the water containing a mesoscales eddy to examine the variation of local modal wave number is such a range-dependent environment.
      
Time series data are specified in reference sliding window and test sliding window, and the abrupt change is modeled using Auto-Regressive (AR) process.
      
Dynamically computing approximate frequency counts in sliding window over data stream
      
This paper presents two one-pass algorithms for dynamically computing frequency counts in sliding window over a data stream-computing frequency counts exceeding user-specified threshold ?.
      
The first algorithm constructs sub-windows and deletes expired sub-windows periodically in sliding window, and each sub-window maintains a summary data structure.
      
In fact, most join queries over unbounded input streams are restricted to finite memory due to sliding window constraints.
      
Linked-tree: An aggregate query algorithm based on sliding window over data stream
      
Aiming at the issues, a novel Linked-tree algorithm based on sliding window is proposed in this paper.
      
In addition, since the size of memory is relevant to the number of areas but irrelevant to the size of sliding window, memory is economized greatly.
      
In this paper we propose a new kind of sliding window called the multiple exponential window, and then use it to fit time-varying Gaussian vector autoregressive models.
      
Because the algorithm estimates surface parameters over a finite, sliding window of data, it can track moderately high-order surfaces using lower order models.
      
The onset of a response can most easily be found by determining the dissimilarity relative to spontaneous activity in a sliding window.
      
A number of databases have been constructed with the three probes investigated and two methods of frequency determination, 'binning' and 'sliding window' fitting, have been compared.
      
The age changes in the correlations were estimated using a 30-year sliding window across the age range.
      
We illustrate with three sliding window data transfer protocols that use modulo-2 sequence numbers.
      
W-join addresses the infinite nature of the data streams by joining stream data items that lie within a sliding window and that match a certain join condition.
      
 

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