Abstract
We have considered the notion of vector-valued multiresolution analysis (VMRA) on positive half line \(\mathbb {R}_+\) and studied associated vector-valued wavelets and wavelet packets. Xia and Suter in 1996 generalized the concept of multiresolution analysis (MRA) on \(\mathbb {R}\) to vector-valued multiresolution analysis (VMRA) on \(\mathbb {R}\) and studied associated vector-valued wavelets. Farkov (Farkov in Orthogonal p-wavelets on \(R^{+}\). St. Petersburg University Press, Saint Petersburg, p. 426, 2005) introduced MRA on \(\mathbb {R}_+\). In this chapter, we have introduced vector-valued multiresolution analysis (VMRA) on \(\mathbb {R}_+\), where the associated subspace \(V_0\) of \(L^{2}(\mathbb {R}_+,\mathbb {C}^N)\) has an orthonormal basis, a family of translates of a vector-valued function \(\varPhi \), i.e, \(\{\varPhi (x\ominus l)\}_{l\in \mathbb {Z}_+}\), where \(\mathbb {Z}_+\) is the set of nonnegative integers. The necessary and sufficient condition for the existence of associated vector-valued wavelets has been obtained and the construction of vector-valued multiresolution analysis (VMRA) on \(\mathbb {R}_{+}\) has been presented.
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Farkov, Y.A., Manchanda, P., Siddiqi, A.H. (2019). Orthogonal Vector-Valued Wavelets on \(\mathbb {R}_{+}\). In: Construction of Wavelets Through Walsh Functions. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-13-6370-2_9
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DOI: https://doi.org/10.1007/978-981-13-6370-2_9
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