Examples of using Wavelet in English and their translations into Ukrainian
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Wavelet Account 5 years ago.
Such a representation of f is known as a wavelet series.
N is the wavelet index, i.e., 2 for D2.
Such a representation of a function f is known as a wavelet series.
Wavelet theory is related to several other subjects.
Keywords: automated systems, classification, optimization, wavelet transform.
A wavelet from this family of wavelets is now used in the JPEG 2000 standard.
With the completion of the term of the patent for the arithmetic coding WaveLet gains popularity.
The application of wavelet analysis to problems of cosmic physics and cosmic radio physics.
A time variability of ice extent for some seas is investigated using wavelet analysis.
Each wavelet has a number of zero moments or vanishing moments equal to half the number of coefficients.
The name Daubechies is widely associated with the orthogonal Daubechies wavelet and the biorthogonal CDF wavelet.
At the same time, a variety of wavelet polls indicate the need to intensify the Ministry of Culture.
The lack of the important property of shift-invariance,has led to the development of several different versions of a shift-invariant(discrete) wavelet transform.
The former include spectral analysis and wavelet analysis; the latter include auto-correlation and cross-correlation analysis.
The wavelet transform can provide us with the frequency of the signals and the time associated to those frequencies, making it very convenient for its application in numerous fields.
However, they are rarely more sensitive, and indeed,the common Morlet wavelet is mathematically identical to a short-time Fourier transform using a Gaussian window function.
Grushevsky Wavelet and multifractal analysis of the nonlinear structures in chaotic processes for hydroecological systems.
The results obtained from the extraction of specific parameters of structural features of gasdischarge radiance images demonstrate the effectiveness of wavelet analysis algorithms for images of radiation of water samples with different biological properties.
LDF signals were analyzed by wavelet transformation, their characteristics(in units of perfusion- UP) were measured before and after revascularization.
On the basis of wavelet analysis and multifractal formalism it has been carried out an analysis of fractal structures in the wave processes(capillary-gravitational ripple).
The award honored her"for fundamental discoveries on wavelets and wavelet expansions and for her role in making wavelets methods a practical basic tool of applied mathematics".
With each wavelet type of this class, there is a scaling function(called the father wavelet) which generates an orthogonal multiresolution analysis.
Unlike most modern methods of noise suppression,which are mainly based on the wavelet method, a unique method of filter Topaz Clean allows you to achieve excellent results withoutcalibration chamber to create a"noise profile" or dig with a large number of parameters.
The wavelets forming a CWT are subject to Heisenberg's uncertainty principle and, equivalently, discrete wavelet bases may be considered in the context of other forms of the uncertainty principle.
For example, D2(the Haar wavelet) has one vanishing moment, D4 has two, etc. A vanishing moment limits the wavelets ability to represent polynomial behaviour or information in a signal.
In mathematics, a wavelet series is a representation of a square-integrable(real- or complex-valued) function by a certain orthonormal series generated by a wavelet.
Using a wavelet transform, the wavelet compression methods are adequate for representing transients, such as percussion sounds in audio, or high-frequency components in two-dimensional images, for example an image of stars on a night sky.
Continuous wavelet transform Discrete wavelet transform Complex wavelet transform Stationary wavelet transform Dual wavelet Multiresolution analysis MrSID, the image format developed from original wavelet compression research at Los Alamos National Laboratory(LANL).