Examples of using Wavelet in English and their translations into Russian
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Daubechies Wavelet in Mathematica.
Free ecard: Yin/ yang with wavelet.
Continuous wavelet analysis and its applications.
Wi file extension Wavelet Image.
Fractal and Wavelet Image Compression Techniques.
Wvi file extension Wavelet Image.
Wavelet theory as p-adic spectral analysis.
Ecw file extension Enhanced Compression Wavelet Image.
Nonlinear wavelet methods in the NORDIS-VARIANT system.
The full name of the file is Enhanced Compression Wavelet Image.
Sugar refinery, wavelet analysis, fractal analysis, time series.
For image processing and measurement the wavelet analysis is used.
A wavelet approach for mathematical physics is considered in the paper.
The computational results demonstrate the advantage of the wavelet basis.
Key words: wavelet transform, iris, personal identification.
Keywords: emotional stress;heart rate variability; wavelet analysis.
Applications of wavelet functions in digital sound processing are considered.
A signal is restored then by means of spline interpolation and wavelet transform.
Key words: wavelet, Hermit cubic spline, integro-differential equation.
Spatial and temporal changes in the structure of С₀ and С₁ are studied by wavelet analysis.
It describes a distribution of Haar wavelet responses within the interest point neighborhood.
Wavelet transforms are classified into discrete wavelet transforms(DWTs) and continuous wavelet transforms CWTs.
Use of symbols compression, wavelet compression and compression factors are set freely.
Research area analyses of the text fields, andcontent recognition in complex images, m ultimedia wavelet analysis, f uzzy logic.
Discrete Wavelet transform associated with the Walsh functions was defined by Lang in 1998.
Best compression: use of symbols compression and wavelet compression with more aggressive compression factors.
Application of wavelet basises for solving problems of mathematical physics- a relatively new promising area of science.
Better compression- good quality:use of symbols compression and wavelet compression with moderately aggressive compressions factors.
At present, wavelet transform is widely used and applied in various signals processing to highlight specific features.
Apply discrete or continuous high-performance wavelet analysis for thresholding and visualizing in any dimension.