Titlebook: Convolution Operators and Factorization of Almost Periodic Matrix Functions; Albrecht B?ttcher,Yuri I. Karlovich,Ilya M. Spitko Book 2002

Seminar

Book 2002ions on a half-line can be studied by having recourse to the methods and results of the theory of Toeplitz and Wiener-Hopf operators. Convolutions by integrable kernels have continuous symbols and the Cauchy singular integral operator is the most prominent example of a convolution operator with a pi

Generator

Convolution Operators and Their Symbols,el is called the symbol of the operator. Shift operators are convolutions by the shifted Dirac delta function and lead to almost periodic symbols. The symbol of the Cauchy singular integral operator is piecewise continuous. The class of semi-almost periodic symbols emerges naturally when considering

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Factorizations of Matrix Functions,In one or another way, all invertibility criteria for matrix Wiener-Hopf operators are connected with certain factorizations of their symbols. In this chapter we introduce the notions of Wiener-Hopf factorization and almost periodic factorization. The first of these two types of factorizations has b

Anguish

Bohr Compactification,s. In particular, we need the fact that an almost periodic function with Bohr-Fourier spectrum in some set E can be uniformly approximated by almost periodic polynomials whose Bohr-Fourier spectrum is supported in E. This result will be proved by making use of the Bochner-Fejér operators, which are

退潮

Matrix Wiener-Hopf Operators with APW Symbols,s obviously invertible on (R). We here prove that the converse is also true, that is, the symbol a necessarily has a canonical right APW factorization if W (a) is invertible. The proof of this result requires some heavy tools. We first establish an isomorphism theorem for C*-dynamical systems, which

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灰姑娘

Book 2016explain the basic concepts of optimization methodsand their use in heuristic optimization in speech enhancement to scientists,practicing engineers, and academic researchers in speech processing. Theauthors discuss why it has been a challenging problem for researchers todevelop new enhancement algori

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