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Signal Processing, Volume 136

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Volume 136, July 2017

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Nicolas Le Bihan:
Foreword to the special issue "Hypercomplex Signal Processing". 1
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Peter Fletcher, Stephen J. Sangwine:
The development of the quaternion wavelet transform. 2-15
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  - journals/sigpro/AugereauC17
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Bertrand Augereau, Philippe Carré:
Hypercomplex polynomial wavelet-filter bank transform for color image. 16-28
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  - journals/sigpro/BlaszczykS17
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Lukasz Blaszczyk, Kajetana Marta Snopek:
Octonion Fourier Transform of real-valued functions of three variables - selected properties and examples. 29-37
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Masaki Kobayashi:
Fixed points of split quaternionic hopfield neural networks. 38-42
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Angelo Sajeva, Giovanni M. Menanno:
Characterisation and extraction of a Rayleigh-wave mode in vertically heterogeneous media using quaternion SVD. 43-58
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  - journals/sigpro/MinemotoINM17
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Toshifumi Minemoto, Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui:
Feed forward neural network with random quaternionic neurons. 59-68
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Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Frequency domain quaternion adaptive filters: Algorithms and convergence performance. 69-80
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Min Xiang, Clive Cheong Took, Danilo P. Mandic:
Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing. 81-91
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  - journals/sigpro/Jimenez-LopezFN17
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José D. Jiménez-López, Rosa M. Fernández-Alcalá, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina:
Widely linear estimation of quaternion signals with intermittent observations. 92-101
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Masaki Kobayashi:
Uniqueness theorem for quaternionic neural networks. 102-106

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