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Basic wavelets
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In this paper "Wavelet integral operator on weighted Besov spaces" wavelet integral operator is studied in Besov spaces and weighted Besov spaces. MSC: 42C10, 42C15. Wavelet integral operator is a new exciting and powerful tool for solving difficult problems in mathematics, physics, engineering. This class of operators is a new one of the well-know pseudodifferential, paradifferential operators.
6p
thienlangso
15-12-2021
13
1
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The document Processing Fundamentals and applications Digital signal present the content: introduction to digital signal processing, signal sampling and quantization, digital signals and systems, discrete fourier transform and signal spectrum, the Z-transform, digital signal processing systems, basic filtering types, and digital filter realizations, finite impulse response filter design, infinite impulse response filter design, hardware and software for digital signal processors, adaptive filters and applications, waveform quantization and compression, subband- and wavelet-based coding, ima...
893p
cao_duy_son
15-08-2019
49
7
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With the advent of the atomic force microscope (AFM) came an extremely valuable analytical resource and technique, useful for the qualitative and quantitative surface analysis with sub-nanometer resolution. In addition, samples studied with an AFM do not require any special pretreatments that may alter or damage the sample, and permit a three dimensional investigation of the surface.
268p
qsczaxewd
22-09-2012
49
10
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The purpose of this book is to provide an overview of basic image fusion techniques and serve as an introduction to image fusion applications in variant fields. It is anticipated that it will be useful for research scientists to capture recent developments and to spark new ideas within the image fusion domain.
252p
bi_bi1
13-07-2012
99
14
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Wavelets are functions fulfilling certain mathematical requirements and used in representing data or other functions. The basic idea behind wavelets is to analyze according to scale. Wavelets received considerable attention in the last years because they are very appropriate for application in practical problems in areas of Engineering, Physics and Technology.
646p
bi_bi1
08-07-2012
102
16
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Basic Orthogonal Wavelet Theory In Chapter 2 we saw how multiresolution analysis (MRA) works for the Haar system. A signal was decomposed into many components on different resolution levels. These components are mutually orthogonal. Despite their attractiveness, the Haar scalets and wavelets are not continuous functions. The discontinuities can create problems when applied to physical modeling. In this chapter we will construct many other orthogonal wavelets that are continuous and may even be smooth functions. ...
70p
tienvovan
18-09-2010
68
10
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