one-dimensional time-series
Phase relationships between two or more interacting processes from one dimensional time series I Basic theory
... of one or a few discrete points, one observes one or a few clouds of points smeared around the stable equilibrium/equilibria, and possibly also the trace of the unstable manifolds forming the ...
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Phase relationships between two or more interacting processes from one dimensional time series II Application to heart rate variability data
... only one or two points is much larger than the probability of finding a wider ...latter one obtains a time series oscillating around zero with the current period varying ran- domly between 2 ...
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Sparse modelling and estimation for nonstationary time series and high dimensional data
... than one breakpoint is suspected, an algorithm for detecting multiple breakpoints is needed to extend the testing procedures for a single ...2007). One drawback of dynamic programming is that its ...
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Essays in high dimensional nonlinear time series analysis
... 1- One starts with the desired null hypothesis regarding the process of the data, ...stochastic one. 2- A set of surro- gate series are generated consistent with the null hypothesis and resembling ...
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About the structure of posturography: Sampling duration, parametrization, focus of attention (part I)
... case one repre- sentative parameter has to be ...groups. One can speculate whether different configurations would reveal different compo- nent ...in one group may give an insight into the ...
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MPSKM Algorithm to Cluster Uneven Dimensional Time Series Subspace Data
... each one belongs to separate sub space of data and in each slice of data importance of same set of attribute ...same time the variation in rain indicates the extreme ...
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Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series
... In this paper, we have developed two types of semiparametric methods to achieve dimension reduction on the candidate covariates and obtain good forecasting performance for the response variable. The KSIS technique, as ...
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TSmap3D: Browser Visualization of High Dimensional Time Series Data
... high dimensional time series data are increasingly becoming commonplace, and the ability to project such data into three dimensional space to visually inspect them is an important capability ...
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Efficient search methods for high dimensional time series
... excess returns that are subject to breaks to forecast the equity premium out-of-sample. Another benefit of our methodology is the ability to observe which firms are undergoing a change and which are not. This is of real ...
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Two Distributed-State Models For Generating High-Dimensional Time Series
... of time due to sensor failure or ...of one marker can be gained from the ...out one walking and one running sequence from the training data to be used as test ...
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The decomposition method for linear, one dimensional, time dependent partial differential equations
... It can be seen that the series (6.9) and (6.12) are quite different since they have different domains of convergence. Thus, the ADM partial t-solution (6.9) and partial x-solution (6.1) are not generally equivalent, ...
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Spectral analysis of high dimensional time series
... multiple time series is via char- acterising their spectral density matrix as the frequency domain analog of the covariance ...the time series is large compared to their length, regularisation ...
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Explicit Exact Solutions to Some One Dimensional Conformable Time Fractional Equations
... Some significant properties such as the Taylor series expansion, Laplace transform, exponential function and the chain rule are defined in [4]. The following theo- rem completes the required conditions for the ...
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Factor modeling for high dimensional time series
... curve time series may consist of, for example, annual weather record charts, annual production charts or daily volatility curves (from morning to ...long time series. One advantage to ...
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Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping
... Dynamic Time Warping method to two dimensions is not a simple ...1-dimensional series but rather a 2- dimensional ...two dimensional dynamic warping algorithm could be used for a ...
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An Overcomplete Signal Basis Approach to Nonlinear Time-Tone Analysis with Application to Audio and Speech Processing
... linear time-frequency analysis for audio analysis, to a nonlinear time-tone sensation analysis consistent with the phenomenon of beat sensation in human ...Each time slice of audio is mapped onto a ...
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Electron localisation in static and time-dependent one-dimensional model systems
... Figure 1. 3-electron double wells — (a) Plots of the external potentials (dashed blue) of three selected wells as the barrier height is increased. The ground-state charge densities (solid green) of these potentials are ...
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Multi-dimensional Time Series Approximation Using Local Features at Thinned-out Keypoints
... multiple time series ...multi-dimensional time-series, include the location, speed, direction, max-wind-velocity, low- atmospheric-pressure, force-win-radius of the ...
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The Effects of Noise and Bandlimiting on a One Dimensional Time Dependent Inverse Scattering Technique
... conseque~ly, We see from equation 10 t~at the effect of a high frequency perturbation t.R is approximately a perturbation ilA = -4t.R in the reconstruction of Ax.. On the other hand, a l[r] ...
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Meshless basis set for solving one-dimensional time independent Schrodinger Equation
... and time is also known as state function which describes the physical condition or motion of a ...of time then we can construct a solution to the time dependent Schrödinger equation of the form Ψ(𝐫, ...
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