Results 341 to 350 of about 721,188 (387)
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Wavelet Shrinkage: Asymptopia?
, 1995Much recent effort has sought asymptotically minimax methods for recovering infinite dimensional objects-curves, densities, spectral densities, images-from noisy data.
D. Donoho +3 more
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Wavelet and wavelet packet compression of electrocardiograms
IEEE Transactions on Biomedical Engineering, 1997Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data.
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, 2016
Typical microseismic data recorded by surface arrays are characterized by low signal-to-noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events.
S. Mousavi, C. Langston, S. Horton
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Typical microseismic data recorded by surface arrays are characterized by low signal-to-noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events.
S. Mousavi, C. Langston, S. Horton
semanticscholar +1 more source
Environment, Development and Sustainability, 2021
T. Adebayo, Derviş Kırıkkaleli
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T. Adebayo, Derviş Kırıkkaleli
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2012
In this chapter, we introduce the concept of wavelets and describe how to use wavelet-based decompositions in compression schemes. We begin with an introduction to wavelets and multiresolution analysis and then describe how we can implement a wavelet decomposition using filters.
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In this chapter, we introduce the concept of wavelets and describe how to use wavelet-based decompositions in compression schemes. We begin with an introduction to wavelets and multiresolution analysis and then describe how we can implement a wavelet decomposition using filters.
openaire +2 more sources
2014
This paper introduces Logarithmic Wavelets. The concept is born from the application of the Logarithmic Image Processing (LIP) and Symetric Logarithmic Image Processing (S-LIP) models to wavelets. It leads to a coupled logarithmic-multiscale image processing approach.
Navarro, Laurent +2 more
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This paper introduces Logarithmic Wavelets. The concept is born from the application of the Logarithmic Image Processing (LIP) and Symetric Logarithmic Image Processing (S-LIP) models to wavelets. It leads to a coupled logarithmic-multiscale image processing approach.
Navarro, Laurent +2 more
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Computational Aspects of Wavelets and Wavelet Transforms
1994This chapter is a tutorial on the computational aspects of wavelets and wavelet transforms. Algorithms for the construction of various types of wavelets are implemented on MATLAB. The implementation of the periodic discrete wavelet transform on MATLAB is explained.
R. L. Motard +2 more
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Environmental science and pollution research international, 2021
T. Adebayo +3 more
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T. Adebayo +3 more
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The Generalized Wavelets Based on Meyer Wavelet
2009Starting with investigating the Meyer scaling function, the original Meyer bases are extended to the generalized Meyer wavelet by introducing a time-shift factor into Meyer scaling coefficient functions in this paper. These new wavelets not only inherit many basic properties of the classical Meyer wavelets, such as orthonomality, time-frequency ...
Xudong Teng, Xiao Yuan
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