Examples of 'wavelet transforms' in a sentence
Meaning of "wavelet transforms"
wavelet transforms - In mathematics and signal processing, wavelet transforms are mathematical tools used to break down a function or signal into different frequency components and study them individually. This technique allows for both time and frequency analysis of signals and is used in areas such as image processing, data compression, and noise reduction
How to use "wavelet transforms" in a sentence
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wavelet transforms
The wavelet transforms are implemented by the lifting scheme or by convolution.
Other known solutions rely on the use of wavelet transforms.
Wavelet transforms are also starting to be used for communication applications.
The measured pressure signal is also filtered by wavelet transforms.
Wavelet transforms localize a function both in space and scaling.
This approach codes images as whole using wavelet transforms.
Wavelet transforms are used to decompose the signal in wavelet space.
A family of wavelet transforms.
Another family of more recent solutions is based on frequency or wavelet transforms.
There are a large number of wavelet transforms each suitable for different applications.
Fast algorithms have been developed for performing discrete wavelet transforms.
The method utilises wavelet transforms to decompose the signal in wavelet space.
Such results are coupled with those obtained with the wavelet transforms.
Wavelet transforms are employed to capture the localized frequency information from the hologram.
This approach allows the characterisation of reproducing systems in a large class of generalised wavelet transforms.
See also
Almost all practically useful discrete wavelet transforms use discrete-time filterbanks.
In particular, the example presented below is based on the use of separable wavelet transforms.
Wavelet transforms are classified into discrete wavelet transforms ( DWTs ) and continuous wavelet transforms CWTs.
The Haar transform is the simplest of the wavelet transforms.
It might be possible to achieve the frequency-logarithmic filter with the aid of wavelet transforms.
Eventually, we propose in a methodological manner, some applications of Wavelet transforms in the side-channel context.
Separable transforms may include separable directional transforms, DCT transforms, integer transforms, and wavelet transforms.
The Modelica wavelet library contains all basic wavelet transforms.
We propose two strategies for this, both based on wavelet transforms.
Buckingham . My research is on using Wavelet transforms.
These methods make use, for example, of wavelet transforms.
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Examples of using Wavelet
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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
Examples of using Transforms
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Then career slowly transforms into vocation
Law transforms policy into operating rules
The power that transforms your body
