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Despite wavelet compression being the method of choice for image compression, the performance of wavelet compression schemes are investigated for compressing ...
The aim of our paper is to examine a set of wavelet functions for implementation in an electrocardiogram (ECG) image compression system. Eight different ...
This paper deals with the wavelet transforms of self-similar random processes, of the kind assumed in the Kolmogorov (1941) theory of turbulence.
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Self-similar stochastic processes are stochastic counterparts of deterministic frac- tals. Statistical properties of those processes are the same regardless ...
On wavelet compression of self-similar processes Conferences uri icon. Overview; Research; Identity; Additional Document Info; View All.
In fact, for globally self-similar processes, log-linear regression methods that utilize the wavelet transformation have been recently proposed for the estima-.
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Apr 19, 2022 · We introduce the wavelet scattering spectra which provide non-Gaussian models of time-series having stationary increments.
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How does wavelet compression work?
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Discovering multiscale and self-similar structure with data ...
www.pnas.org › full › pnas.2021299118
A well-known formalism that produces bases with spatially localized elements is that of wavelets. The name is quite descriptive: Wavelets are localized waves.
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This paper deals with the wavelet transforms of self-similar random processes, of the kind assumed in the Kolmogorov (1941) theory of turbulence.
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Three-dimensional quantum wavelet transforms. Abstract. Wavelet transform is being widely used in the field of information processing. One-dimension and two ...
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