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Periodic autocorrelation of sequences
The autocorrelation of a sequence is a useful criterion, among all, of resistance to cryptographic attacks. The behavior of the autocorrelations of...
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Distribution of the autocorrelation of random Boolean functions
The nonlinearity of Boolean functions is well known and the behaviour of the nonlinearity of random Boolean functions has been studied, showing that...
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Autocorrelation of an Econometric Model
The treatment of an econometric model requires a clearly defined sequence of tasks. The identification of the model leads us to review the...
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The 4-adic complexity of new quaternary sequences with good autocorrelation
Quaternary sequences with high 4-adic complexity have attracted widespread attention in communication and cryptography systems. In this paper, for an...
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Novel fractional scaled Wigner distribution using fractional instantaneous autocorrelation
The traditional scaled Wigner distribution (SWD) is extended to a novel one inspired by merits of fractional instantaneous autocorrelation present in...
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Almost perfect autocorrelation sequences with small number of pauses for applications in magnetic resonance
It is well known that it is a challenge to find constant amplitude sequences with perfect autocorrelation over small alphabets. In this work we...
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The 4-adic complexity of quaternary sequences with optimal odd-periodic autocorrelation magnitude
Based on the inverse Gray map** and sign alternation transform, a new family of quaternary sequences with optimal odd-periodic autocorrelation...
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The 4-adic complexity of interleaved quaternary sequences of even period with optimal autocorrelation
Su, Yang, Zhou, and Tang proposed several new classes of optimal autocorrelation interleaved quaternary sequences with period 2 n from the twin-prime...
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Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients
When an hypothesized peer effect (also termed social influence or contagion) is believed to act between units (e.g., hospitals) above the level at...
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Mixture of histograms of autocorrelation based Chordiogram image descriptor for image retrieval
This work proposes a novel feature descriptor for places image retrieval and we named it as mixture of histograms of autocorrelation based...
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Fast spatial autocorrelation
Physical or geographic location proves to be an important feature in many data science models, because many diverse natural and social phenomenon...
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DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound
Time series analysis is vital for various real-world scenarios. Enhancing multivariate long-sequence time-series forecasting (MLTF) accuracy is...
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A class of balanced binary sequences with two-valued non-zero autocorrelation sum and good crosscorrelation sum
In this paper, we study a class of binary sequences with two-valued non-zero periodic autocorrelation sum and good periodic crosscorrelation sum as...
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2-Adic complexity of two constructions of binary sequences with period 4N and optimal autocorrelation magnitude
Three constructions of binary sequences with period 4 N and optimal autocorrelation value or optimal autocorrelation magnitude have been presented by...
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Evaluating the Coverage of 5G Signals: Coupling Spatial Autocorrelation and 3D Sight Lines Based on GIS
5G communication network has been developed and applied in recent years, the researches on 5G communication network planning have become gradually...
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Measurement method of determining natural and unnatural gaits using autocorrelation coefficients
Walking is the most common physical activity in humans, and gait can be used as a measure of human health. If the gait is unnatural or uncomfortable,...
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ACTOR: Accelerating Fault Injection Campaigns Using Timeout Detection Based on Autocorrelation
Fault-injection (FI) campaigns provide an in-depth resilience analysis of safety-critical systems in the presence of transient hardware faults....
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Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids
Smart grids are networks that distribute electricity by relying on advanced communication technologies, sensor measurements, and predictive methods,...
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Estimation of the Randomness of Continuous and Discrete Signals Using the Disentropy of the Autocorrelation
The amount of randomness in a signal generated by a physical or non-physical process can reveal important information about that process. Thus, to...
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Simon’s Algorithm and Autocorrelation Spectrum
Simon’s algorithm is another important evidence that more efficient evaluations of certain properties are possible in quantum domain over the...