A comparison of CDMA techniques for third generation mobile radio systems

Swales, SC; Busby, T; Purle, DJ; Beach, M.A.; McGeehan, JP

doi:10.1109/vetec.1993.507502

Cited by 13 publications

(1 citation statement)

References 7 publications

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“…As a useful signal processing way, the Walsh transform technique has been widely used in various fields. For example, the one-dimensional (1D) Walsh transform is the fundamental technique of code division multiple access (CDMA) in the wireless communication field [32]. In the CS field, the 2D Walsh transform has been used as sensing matrix in recent studies [33,34].…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

Improved l1-SPIRiT using 3D walsh transform-based sparsity basis

Zhao¹,

F²,

Jiang³

et al. 2014

Magnetic Resonance Imaging

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l1-SPIRiT is a fast magnetic resonance imaging (MRI) method which combines parallel imaging (PI)with compressed sensing (CS) by performing a joint l1-norm and l2-norm optimization procedure.The original l1-SPIRiT method uses two-dimensional (2D) Wavelet transform to exploit the intra-coil data redundancies and a joint sparsity model to exploit the inter-coil data redundancies. In this work, we propose to stack all the coil images into a three-dimensional (3D) matrix, and then a novel 3D Walsh transform-based sparsity basis is applied to simultaneously reduce the intra-coil and inter-coil data redundancies. Both the 2D Wavelet transform-based and the proposed 3D Walsh transform-based sparsity bases were investigated in the l1-SPIRiT method. The experimental results show that the proposed 3D Walsh transform-based l1-SPIRiT method outperformed the original l1-SPIRiT in terms of image quality and computational efficiency.

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Section: Accepted M Manuscriptmentioning

confidence: 99%