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在基小波ψ(t)为带限的条件下,基于半离散的小波变换(Wψf)(na,a)(n∈Z,a∈R)信号f(t)的重构公式被给出. 相似文献
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研究广义典型流形M上小波变换的性质,根据广义典型流形M的结构特征与广义典型流形M上连续小波变换的定义,讨论了广义典型流形M上的连续小波变换的重构公式,线性性质,伸缩平移性等,讨论了广义典型流形M上小波变换的性质.最后,给出了连续小波ψ的卷积公式. 相似文献
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(五 )离散小波变换正交小波基上面我们介绍了连续小波变换 ,但在实际问题及数值计算中更重要的是其离散形式 (在作具体数值计算时 ,连续小波的参数 a,b必然要离散化 )。对确定的小波母函数ψ( t) ,取定 a0 >1 ,b0 >0 令ψmn( t) =am20 ψ( am0 t-nb0 ) , m,n∈ Z ( 5.1 )这里 Z表示全体整数所构成的集合 ,我们称 ψmn( t)为离散小波。对于函数 f( t) ,相应的离散小波变换为 :Cf( m,n) =∫∞-∞f ( t)ψmn( t) dt,m,n∈ Z ( 5.2 ) 我们知道对连续小波 ,由 Wf( a,b) ,a,b∈ ( -∞ ,∞ ) ,a≠ 0可唯一确定函数 f ( t) (反演公式( 3 .… 相似文献
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本文给出伸缩矩阵行列式为2的一类二元半正交小波包的构造算法.该小波包是以频域给出的,随着用于小波包分裂的滤波器选取的不同会得到L2(R2)中形态各异的Riesz基,这样使得L2(R2)中小波基的选择更灵活. 相似文献
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给出关于带限函数的小波变换的一类新的反演公式,这个公式具有比熟知的结果更清晰的表达式,并且含有可以自由选择的因子。 相似文献
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紧支撑多重向量值正交小波包的性质 总被引:1,自引:0,他引:1
给出紧支撑多重向量值正交小波包的定义及构造方法.运用矩阵理论与积分变换,研究了多重向量值正交小波包的性质,得到三个正交性公式.进而,得到空间L2(R,Cr)的一个新的规范正交基. 相似文献
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In this paper we consider the Dunkl operators T
j
, j = 1, . . . , d, on and the harmonic analysis associated with these operators. We define a continuous Dunkl Gabor transform, involving the Dunkl
translation operator, by proceeding as mentioned in [20] by C.Wojciech and G. Gigante. We prove a Plancherel formula, an inversion formula and a weak uncertainty principle for it. Then, we show that the portion of the continuous Dunkl Gabor transform
lying outside some set of finite measure cannot be arbitrarily too small. Similarly, using the basic theory for the Dunkl
continuous wavelet transform introduced by K. Trimèche in [18], an analogous of this result for the Dunkl continuous wavelet
transform is given. Finally, an analogous of Heisenberg’s inequality for a continuous Dunkl Gabor transform (resp. Dunkl continuous
wavelet transform) is proved.
相似文献
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The main goal of this paper is to study about the continuous as well as discrete wavelet transform in terms of linear canonical Hankel transform (LCH‐transform) and discuss some of its basic properties. Parseval's relation and reconstruction formula of continuous linear canonical Hankel wavelet transform (CLCH‐wavelet transform) is obtained. Moreover, semidiscrete and discrete LCH‐wavelet transform are also discussed. 相似文献
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以泛函分析的观点来考察连续小波变换及小波框架算子,得到了它们的一些性质,并给出了严格证明,弥补了有关献中的不足。 相似文献
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Juan Miguel Medina Bruno Cernuschi-Frías 《Numerical Functional Analysis & Optimization》2018,39(1):87-99
We shall prove some simultaneous localization or concentration inequalities for the continuous wavelet transform. We will also show that simultaneous localization in the scale-time(space) is impossible, in the sense that the scale sections of the support of wavelet transform of a nonnull Lp-function can not have finite Lebesgue measure. Finally, some properties of the support of continuous wavelet transform of band-limited functions are studied. 相似文献
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Using the theory of Hankel convolution, continuous and discrete Bessel wavelet transforms are defined. Certain boundedness results and inversion formula for the continuous Bessel wavelet transform are obtained. Important properties of the discrete Bessel wavelet transform are given. 相似文献
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P.K Banerji 《Journal of Mathematical Analysis and Applications》2004,296(2):473-478
By the application of continuous wavelet transforms (or windowed Fourier transform) and employing Burzyk's conjecture, the wavelet transform for integrable Boehmians is obtained. Inversion formula is also established. 相似文献
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Uwe Kähler 《PAMM》2006,6(1):633-634
In this paper we will construct frames for the continuous spherical wavelet transform. (© 2006 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) 相似文献
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Bei Liu 《Numerical Functional Analysis & Optimization》2013,34(7-8):784-798
The homogeneous approximation property (HAP) for the continuous wavelet transform is useful in practice because it means that the measure of the building area involved in a reconstruction of a function up to some error is essentially invariant under timescale shifts. For the univariate case, it was shown that the pointwise HAP holds if and only if the Fourier transforms of both wavelets and the function to be reconstructed are compactly supported on ??{0}. In this paper, we study the HAP for multivariate wavelet transforms. We show that similar results hold for this case. However, the above condition is only sufficient but not necessary if the dimension of the variable is greater than 1, which is different from the univariate case. We also get a convergence result on the inverse of wavelet transforms, which improves similar results by Daubechies and Holschneider and Tchamitchain. 相似文献