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Highly permeable acid‐resistant nanofiltration (NF) membranes are of critical significance for the efficient treatment of acidic streams. Enhancing permeability while maintaining the high solute rejection of acid‐resistant NF membranes remains a great challenge due to the low reactivity of monomers. In this work, a novel catalytic template assisted interfacial polymerization (IP) strategy of 3‐aminobenzenesulfonamide...
In this paper, a novel hybrid OFDM receiver based on sparse variational Bayesian (VB) learning and soft-input soft-output decoding is proposed. By noticing that a key part of the inference problem approximated by VB (message-passing) methods may be inferred exactly, an genetic interfacing structure is proposed allowing the use of virtually all existing soft-input soft-output decoding schemes. Therefore...
It is recognized that wireless channels often exhibit a sparse structure, especially for wideband and ultra-wideband systems. In order to exploit this sparse structure and make it more feasible for practical applications, this article investigates sparse channel estimation for OFDM from the perspective of Bayesian learning. Under the Bayesian learning framework, the large-scale compressed sensing...
This paper proposes a modified compressed sensing algorithm for sparse multipath channel estimation in wideband OFDM systems. By using a virtual channel representation, the sparse nature of a multipath channel is revealed and exploited. Unlike other proposed sparse channel estimation schemes, it is noted that a truly sparse assumption on the channel impulse response (CIR) must factor in the leakage...
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