Examples of 'wavelet' in a sentence
Meaning of "wavelet"
A wavelet is a mathematical function used in signal processing to break down a signal into different frequency components
Show more definitions
- A small wave; a ripple.
- A fast-decaying oscillation.
How to use "wavelet" in a sentence
Basic
Advanced
wavelet
Wavelet compression can be either lossless or lossy.
Method for fast wavelet transform of a signal.
A wavelet is a function comparable with a brief oscillation.
Connecting fast wavelet algorithms and theory.
Wavelet representation for accelerated deep learning.
The museum did something to it called wavelet analysis.
Wavelet theory an elementary approach with applications.
It infiltrates the electron wavelet and redirects it.
So the wavelet analysis came through.
Each subband contains a set of wavelet coefficients.
Fourier and wavelet analysis techniques.
Wavelet theory is applicable to several subjects.
A number of known wavelet families exist.
Wavelet methods for conservation laws.
It is also possible to use wavelet functions as an averaging nucleus.
See also
Wavelet turbulence for fluid simulation.
Method of computing temporal wavelet coefficients of a group of pictures.
The wavelet transform statistic is detailed.
A detail derivation of the wavelet model is provided herein.
Wavelet transform is also widely known.
Adaptive noise reduction method based on empirical wavelet.
Wavelet family therefore corresponds to a bank of frequency filters.
There are a number of ways of defining a wavelet or a wavelet family.
Wavelet functions can also be used as averaging kernel.
Such a representation of f is known as a wavelet series.
The wavelet technique is well known.
This decomposition is done using wavelet filtering.
Wavelet functions may also be used as averaging kernel.
Continuous and discrete wavelet transform.
Any wavelet function may be used in the analysis.
This necessary condition is particularly satisfied by wavelet basis.
The wavelet used is reproduced below.
The following figure shows the wavelet transform.
The wavelet transforms are implemented by the lifting scheme or by convolution.
Classification of respiratory sounds based on wavelet packet decomposition.
First a wavelet transform is applied.
It might also be an inverse wavelet transform.
Choice of wavelet may depend on characteristics of the signal being investigated.
The second choicedoes not lead to a wavelet thresholding.
Copies of a wavelet at a particular provider can either be local or remote.
Adaptive precision and quantification of a wavelet transformed matrix.
An orthogonal wavelet is a wavelet whose associated wavelet transform is orthogonal.
The detection is done on the selected wavelet packets coefficients.
Wavelet transforms are also starting to be used for communication applications.
It may also involve a wavelet transform.
Conventional wavelet transform coding codes an image in three steps.
The pressure signal is filtered by applying a wavelet transform.
We propose here to study a wavelet packet based watermarking procedure.
Wavelet functions can also be used as the averaging nucleus.
And the discrete wavelet transform.
