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Examples from these and other classes of waves are used to demonstrate general wave phenomena such as dispersion, anisotropy, and causality; phase, group, and energy propagation velocities and directions; propagation and excitation of surface waves; propagation in inhomogeneous media; and nonlinearity and instability.
The third data set (D3) is the waveform-5000 dataset from the UCI machine learning repository [ 40] which contains 5,000 instances, 21 features and three classes of waves (1657 instances of w1, 1647 of w2, and 1696 of w3).
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Table 1 summarizes the basic characteristics of the three most important classes of atmospheric waves: gravity waves (GWs), atmospheric tides, and planetary waves (PWs).
This class of waves has not been reported previously in the open literature.
In addition to waves propagating upwards, another class of waves is created at ionospheric altitudes by geomagnetic activity (e.g. Richmond 1978; Hunsucker 1982).
Some parts of the tidal spectrum remain trapped near the levels of excitation ([Hagan and Roble 2001]) while others belong to the class of waves that are vertically propagating.
The classification goal is to perform binary classification to discriminate the first class of waves from the other two.
Whereas this is true for acoustic surface waves or certain classes of seismic waves, for example, it is generally not true for the phenomenon that we are discussing here.
Oscillating bodies constitute a major class of wave energy converters, especially for offshore deployment.
The applicability of this method to a wide class of wave bearing surfaces is discussed.
A class of wave propagation algorithms for three-dimensional conservation laws and other hyperbolic systems is developed.
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