Hadamard matrix analysis and synthesis: with applications to communications and signal/image processing
Digital Image Processing
Digital Signal Processing (4th Edition)
Digital Signal Processing (4th Edition)
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IEEE Transactions on Signal Processing
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IEEE Transactions on Signal Processing
Sequency-Ordered Complex Hadamard Transform: Properties, Computational Complexity and Applications
IEEE Transactions on Signal Processing - Part I
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Hadamard-based image decomposition and compression
IEEE Transactions on Information Technology in Biomedicine
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ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
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Sequency-ordered generalized Walsh-Fourier transform
Signal Processing
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A new transform known as conjugate symmetric sequency-ordered complex Hadamard transform (CS-SCHT) is presented in this paper. The transform matrix of this transform possesses sequency ordering and the spectrum obtained by the CS-SCHT is conjugate symmetric. Some of its important properties are discussed and analyzed. Sequency defined in the CS-SCHT is interpreted as compared to frequency in the discrete Fourier transform. The exponential form of the CS-SCHT is derived, and the proof of the dyadic shift invariant property of the CS-SCHT is also given. The fast and efficient algorithm to compute the CS-SCHT is developed using the sparse matrix factorization method and its computational load is examined as compared to that of the SCHT. The applications of the CS-SCHT in spectrum estimation and image compression are discussed. The simulation results reveal that the CS-SCHT is promising to be employed in such applications.