wavelet

In complicated frequency components domain, wavelet scalogram and assigned wavelet scalogram were used to further analyze vibration signals.

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

Results show that reassigned wavelet scalogram has higher time-frequency resolution than wavelet scalogram and can well identify such close low-frequency components.

The paper has researched the remote sensing image wavelet packet fusion based on the ARSIS concept.

The theoretical seismicwavelet clearly indicates the characteristics of real seismic wavelets in seismic ex-ploration to thus improve geop...

This paper proposes a multistate document segmentation method based on wavelet transform and the hidden Markov tree (HMT) model.

The principal of wavelet denoising is introduced and the replicability of GPS multipath effect in dynamic environment is discussed firstly.

This method is not only less than Tree-Adapted Wavelet Shrinkage (TAWS) method in operation amounts but also excellent in image denoising results and reservation of singularity information.

Their properties were characterized by using integral transformation and matrix theory.Two biorthogonality formulae for the multiple vector-valued multivariate wavelet packets were obtained.

Each of those little half-circles is called a wavelet.

The wavelets from the part of the wave near the edge will curve behind the edge.

But the part that isn't blocked keeps moving past the edge, and it follows Huygens' principle, forming wavelets.

Finally, you draw a curve that's tangent to each wavelet, meaning that it touches each half circle at exactly one point.

And when you draw a line to connect all the wavelets, you end up with a line that bends around the edge.