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- Read more about A SHUFFLED-BASED ITERATIVE DEMODULATION AND DECODING SCHEME FOR LDPC CODED FLASH MEMORY
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- Read more about Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF
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Degrees of freedom (DoF) of the three-user multiple-input multiple-output (MIMO) broadcast channel (BC) with delayed CSIT was derived for most antenna configurations except for the case of 2N < M < 3N, where transmitter has M antennas and each receiver has N antennas. In this paper, for that problem, we propose an effective scheme for acquiring a higher achievable DoF than the value via existing methods. In the initial transmission phase, we transmit more data symbols than the amount that the receivers can instantaneously decode.
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- Read more about Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition
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- Read more about Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm
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- Read more about INFLUENCE OF THE NUMBER OF LOUDSPEAKERS ON THE TIMBRE IN MIXED-ORDER AMBISONICS REPRODUTION
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Ambisonics is a series of flexible spatial sound systems based on spatial harmonics decomposition and each order approximation of sound field. Accuracy and complexity of system increase with order. Considering that the horizontal localization resolution of human hearing is higher than vertical resolution, mixed-order Ambisonics (MOA) reconstructs horizontal sound field with higher order spatial harmonics, while reconstructs vertical sound field with lower order spatial harmonics, and thereby reaches a compromise between the perceptual performance and the complexity of system.
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- Read more about Spatial Array Thinning for Interference Cancellation under Connectivity Constraints
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Array spatial thinning is employed to select the most effective antenna elements in a large phased array for optimum performance concerning hardware and computational costs, in conjunction with managing element failure and radio interference mitigation. We formulate spatial array thinning under connectivity constraints to make the thinning applicable in large arrays. By introducing graph optimization, the problem is recast as a k-clique version of a generalized minimum clique problem.
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- Read more about Change-Point Detection of Gaussian Graph Signals with Partial Information
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