text: We analyze the decomposition problem of multivariate polynomial-exponential functions from truncated series and present new algorithms to compute their decomposition. Using the duality between polynomials and formal power series, we first show how the elements in the dual of an Artinian algebra correspond to polynomial-exponential functions. They are also the solutions of systems of partial differential equations with constant coefficients. We relate their representation to the inverse system of the roots of the characteristic variety. Using the properties of Hankel operators, we establish a correspondence between polynomial exponential series and Artinian Gorenstein algebras. We generalize Kronecker theorem to the multivariate case, by showing that the symbol of a Hankel operator of finite rank is a polynomial-exponential series and by connecting the rank of the Hankel operator with the decomposition of the symbol. A generalization of Prony's approach to multivariate decomposition problems is presented , exploiting eigenvector methods for solving polynomial equations. We show how to compute the frequencies and weights of a minimal polynomial-exponential decomposition , using the first coefficients of the series. A key ingredient of the approach is the flat extension criteria, which leads to a multivariate generalization of a rank condition for a Carath 'e odory-Fej 'e r decomposition of multivariate Hankel matrices. A new algorithm is given to compute a basis of the Artinian Gorenstein algebra, based on a Gram-Schmidt orthogonalization process and to decompose polynomial-exponential series. A general framework for the applications of this approach is described and illustrated in different problems. We provide Kronecker-type theorems for convolution operators, showing that a convolution operator (or a cross-correlation operator) is of finite rank, if and only if, its symbol is a polynomial-exponential function, and we relate its rank to the decomposition of its symbol. We also present Kronecker-type theorems for the reconstruction of measures as weighted sums of Dirac measures from moments and for the decomposition of polynomial-exponential functions from values. Finally, we describe an application of this method for the sparse interpolation of polylog functions from values.
  @cite_37: 
  @cite_18: The so-called Berlekamp -- Massey -- Sakata algorithm computes a Grobner basis of a @math -dimensional ideal of relations satisfied by an input table. It extends the Berlekamp -- Massey algorithm to @math -dimensional tables, for @math . We investigate this problem and design several algorithms for computing such a Grobner basis of an ideal of relations using linear algebra techniques. The first one performs a lot of table queries and is analogous to a change of variables on the ideal of relations. As each query to the table can be expensive, we design a second algorithm requiring fewer queries, in general. This -like algorithm allows us to compute the relations of the table by extracting a full rank submatrix of a matrix (a multivariate generalization of Hankel matrices). Under some additional assumptions, we make a third, adaptive, algorithm and reduce further the number of table queries. Then, we relate the number of queries of this third algorithm to the of the final staircase and we show that it is essentially linear in the size of the output when the staircase is convex. As a direct application to this, we decode @math -cyclic codes, a generalization in dimension @math of Reed Solomon codes. We show that the multi-Hankel matrices are heavily structured when using the ordering and that we can speed up the computations using fast algorithms for quasi-Hankel matrices. Finally, we design algorithms for computing the generating series of a linear recursive table.
  @cite_54: It is shown in this paper that the iterative algorithm introduced by Berlekamp for decoding BCH codes actually provides a general solution to the problem of synthesizing the shortest linear feedback shift register capable of generating a prescribed finite sequence of digits. The shift-register approach leads to a simple proof of the validity of the algorithm as well as providing additional insight into its properties. The equivalence of the decoding problem for BCH codes to a shift-register synthesis problem is demonstrated, and other applications for the algorithm are suggested.
  @cite_56: We present an algorithm for finding a minimal set of two-dimensional linear recurring relations capable of generating a prescribed finite two-dimensional array. This is a two-dimensional extension of the Berlekamp-Massey algorithm for synthesizing a shortest linear feedback shift-register capable of generating a given finite sequence. The complexity of computation for an array of size n is 0(n^2) under some reasonable assumptions. Furthermore, we make clear some relationship between our algorithm and Grobner bases of bivariate polynomial ideals, where polynomials correspond one-to-one to linear recurring relations.
  @cite_44: 
  @cite_40: An n-dimensional linear recurring sequence ( sigma ) of elements from a field F, for n>or=1 is considered. An algorithm chi -BASE which determines a basis for the ideal characteristic polynomials of ( sigma ) under certain reasonable conditions is presented. This analysis applied to doubly periodic arrays in particular. >
summary: Hankel matrices and their kernels also play an important role in error correcting codes. Reed-Solomon codes, obtained by evaluation of a polynomial at a set of points and convolution by a given polynomial, can be decoded from their syndrome sequence by computing the error locator polynomial @cite_37 [chap. 9]. This is a linear recurrence relation between the syndrome coefficients, which corresponds to a non-zero element in the kernel of a Hankel matrix. Berlekamp @cite_44 and Massey @cite_54 proposed an efficient algorithm to compute such polynomials. Sakata extended the approach to compute Gr "o bner bases of polynomials in the kernel of a multivariate Hankel matrix @cite_56 . The computation of multivariate linear recurrence relations have been further investigated, e.g. in @cite_40 and more recently in @cite_18 .