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20112026
most citedSupervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

325 citations

Showing 2016Show all

7 papers · 1 filter

stat.ML2016★ 23 cited

Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu +2

We propose a flexible framework for spectral conversion (SC) that facilitates training with unaligned corpora. Many SC frameworks require parallel corpora, phonetic alignments, or…

cs.IT2016

Distributed Compressive Sensing: Performance Analysis with Diverse Signal Ensembles

Sung-Hsien Hsieh, Wei-Jie Liang, Chun-Shien Lu +1

Distributed compressive sensing is a framework considering jointly sparsity within signal ensembles along with multiple measurement vectors (MMVs). The current theoretical bound of…

cs.NI2016

Probabilistic Medium Access Control for Full-Duplex Networks with Half-Duplex Clients

Shih-Ying Chen, Ting-Feng Huang, Kate Ching-Ju Lin +2

The feasibility of practical in-band full-duplex radios has recently been demonstrated experimentally. One way to leverage full-duplex in a network setting is to enable three-node…

cs.IT2016★ 66 cited

Simultaneous Wireless Information and Power Transfer Under Different CSI Acquisition Schemes

Chen-Feng Liu, Marco Maso, Subhash Lakshminarayana +2

In this work, we consider a multiple-input single-output system in which an access point (AP) performs a simultaneous wireless information and power transfer (SWIPT) to serve a use…

cs.IT2016★ 40 cited

Energy-Recycling Full-Duplex Radios for Next-Generation Networks

Marco Maso, Chen-Feng Liu, Chia-Han Lee +2

In this work, a novel energy-recycling single-antenna full-duplex (FD) radio is designed, in which a new 3-port element including a power divider and an energy harvester is added b…

physics.data-an2016★ 17 cited

Wave-shape function analysis -- when cepstrum meets time-frequency analysis

Chen-Yun Lin, Li Su, Hau-tieng Wu

We propose to combine cepstrum and nonlinear time-frequency (TF) analysis to study mutiple component oscillatory signals with time-varying frequency and amplitude and with time-var…