Results 1 to 10 of about 39,760 (245)

Tracking an Auto-Regressive Process with Limited Communication per Unit Time [PDF]

open access: yesEntropy, 2021
Samples from a high-dimensional first-order auto-regressive process generated by an independently and identically distributed random innovation sequence are observed by a sender which can communicate only finitely many bits per unit time to a receiver ...
Rooji Jinan   +2 more
doaj   +7 more sources

Practical generation of video textures using the auto-regressive process

open access: yesImage and Vision Computing, 2004
Recently, there have been several attempts at creating ?video textures?, that is, synthesising new (potentially infinitely long) video clips based on existing ones.
Neill Campbell
exaly   +4 more sources

Varying-Coefficient Additive Models with Density Responses and Functional Auto-Regressive Error Process

open access: yesEntropy
In many practical applications, data collected over time often exhibit autocorrelation, which, if unaccounted for, can lead to biased or misleading statistical inferences. To address this issue, we propose a varying-coefficient additive model for density-
Zixuan Han   +3 more
doaj   +4 more sources

Auto-Regressive Processes Explained by Self-Organized Maps. Application to the Detection of Abnormal Behavior in Industrial Processes

open access: yesIEEE Transactions on Neural Networks, 2011
Artículos en revistasThis paper analyzes the expected time evolution of an auto-regressive (AR) process using self-organized maps (SOM). It investigates how a SOM captures the time information given by the AR input process and how the transitions from ...
MIGUEL A Sanz-Bobi
exaly   +6 more sources

Auto-regressive independent process analysis without combinatorial efforts [PDF]

open access: yesPattern Analysis and Applications, 2009
We treat the problem of searching for hidden multi-dimensional independent auto-regressive processes (auto-regressive independent process analysis, AR-IPA). Independent subspace analysis (ISA) can be used to solve the AR-IPA task. The so-called separation theorem simplifies the ISA task considerably: the theorem enables one to reduce the task to one ...
Barnabas Poczos   +2 more
exaly   +2 more sources

Auto-regressive moving average parameter estimation for 1/f process under colored Gaussian noise background

open access: yesJournal of Algorithms & Computational Technology, 2019
Current algorithms for estimating auto-regressive moving average parameters of transistor 1/f process are usually under noiseless background. Transistor noises are measured by a non-destructive cross-spectrum measurement technique, with transistor noise ...
Chen Wang   +5 more
doaj   +2 more sources

Practical generation of video textures using the auto-regressive process

open access: yesProcedings of the British Machine Vision Conference 2002, 2002
Recently, there have been several attempts at creating ‘video textures’, that is, synthesising new (potentially infinitely long) video clips based on existing ones.
David Gibson   +12 more
core   +2 more sources

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes? [PDF]

open access: yesIEEE Signal Processing Letters, 2012
We consider the problem of sampling continuous-time auto-regressive processes on a uniform grid. We investigate whether a given sampled process originates from a single continuous-time model, and address this uniqueness problem by introducing an ...
Kirshner, Hagai   +2 more
core   +2 more sources

Appropriateness of correlated first-order auto-regressive processes for modeling daily temperature records [PDF]

open access: yesPhysica A: Statistical Mechanics and Its Applications, 2006
Accepted for publication in Physica ...
Radhakrishnan Nagarajan
exaly   +3 more sources

Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes [PDF]

open access: yesPhysics of Fluids, 2014
We introduce a novel way to extract information from turbulent datasets by applying an Auto Regressive Moving Average (ARMA) statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations and links the behavior of the recorded time series to a discrete version of a stochastic differential equation which is ...
Davide Faranda   +2 more
exaly   +4 more sources

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