11 research outputs found

    A Generalised Hadamard Transform

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    A Generalised Hadamard Transform for multi-phase or multilevel signals is introduced, which includes the Fourier, Generalised, Discrete Fourier, Walsh-Hadamard and Reverse Jacket Transforms. The jacket construction is formalised and shown to admit a tensor product decomposition. Primary matrices under this decomposition are identified. New examples of primary jacket matrices of orders 8 and 12 are presented.Comment: To appear in the proceedings of the 2005 IEEE International Symposium on Information Theory, Adelaide, Australia, September 4-9, 200

    Parallel Jacket Transformation in Multi-Mesh Network

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    In this paper a parallel algorithm for Jacket transform is proposed in multi mesh architecture having n4 processing elements. Multi mesh architecture is formed by collection of meshes having n × n structure. These meshes are arranged in n rows and n columns. In this paper, in place generation of the Jacket matrix elements in multi mesh of size n4 processors has been presented, which is then followed by an algorithm for the Jacket transformation. This parallel algorithm for Jacket transformation of vector of length N has been proposed with O (log ?N)) addition time and O (?N) data movement time

    Jacket Matrix Based Recursive Fourier Analysis and Its Applications

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    Fast Constructions of Quantum Codes Based on Residues Pauli Block Matrices

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    We demonstrate how to fast construct quantum error-correction codes based on quadratic residues Pauli block transforms. The present quantum codes have an advantage of being fast designed from Abelian groups on the basis of Pauli block matrices that can be yielded from quadratic residues with much efficiency

    A block diagonal jacket matrices for MIMO broadcast channels

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    Fourier Transform

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    The application of Fourier transform (FT) in signal processing and physical sciences has increased in the past decades. Almost all the textbooks on signal processing or physics have a section devoted to the FT theory. For this reason, this book focuses on signal processing and physical sciences. The book chapters are related to fast hybrid recursive FT based on Jacket matrix, acquisition algorithm for global navigation satellite system, determining the sensitivity of output parameters based on FFT, convergence of integrals of products based on Riemann-Lebesgue Lemma function, extending the real and complex number fields for treating the FT, nonmaterial structure, Gabor transform, and chalcopyrite bioleaching. The book provides applications oriented to signal processing and physics written primarily for engineers, mathematicians, physicians and graduate students, will also find it useful as a reference for their research activities
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