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Environment-Aware and Training-Free Beam Alignment for mmWave Massive MIMO via C ...
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) communication system is expected to achieve enormous transmission rate, provided that the transmit and receive beams are properly aligned with the MIMO chann ... Read More >
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Direction of Arrival Estimation of Noisy Speech Using Convolutional Recurrent Ne ...
Training convolutional recurrent neural networks on first-order Ambisonics signals is a well-known approach when estimating the direction of arrival for speech/sound signals. In this work, we investigate whether increasing the o ... Read More >
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A Robust Maximum Likelihood Distortionless Response Beamformer based on a Comple ...
For multichannel speech enhancement, this letter derives a robust maximum likelihood distortionless response beamformer by modeling speech sparse priors with a complex generalized Gaussian distribution, where we refer to as the ... Read More >
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A systematic review of recent air source heat pump (ASHP) systems assisted by so ...
The air source heat pump (ASHP) systems assisted by solar energy have drawn great attentions, owing to their great feasibility in buildings for space heating/cooling and hot water purposes. However, there are a variety of config ... Read More >
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A GAN-Based Input-Size Flexibility Model for Single Image Dehazing
Image-to-image translation based on generative adversarial network (GAN) has achieved state-of-the-art performance in various image restoration applications. Single image dehazing is a typical example, which aims to obtain the h ... Read More >
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A coordinated control to improve performance for a building cluster with energy ...
Distributed renewable energy systems are now widely installed in many buildings, transforming the buildings into electricity prosumers. Existing studies have developed some advanced building side controls that enable renewable e ... Read More >
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Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobil ...
In this paper, we propose a deep learning-based beam tracking method for millimeter-wave (mmWave)communications. Beam tracking is employed for transmitting the known symbols using the sounding beams and tracking time-varying cha ... Read More >
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Nonsmooth Quasistatic Modeling of Hydraulic Actuators
This article presents a quasistatic model of a hydraulic actuator driven by a four-valve independent metering circuit. The presented model describes the quasistatic balance between the velocity and force and that between the flo ... Read More >
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Signal Detection in Distributed MIMO Radar with Non-Orthogonal Waveforms and Syn ...
Although routinely utilized in literature, orthogonal waveforms may lose orthogonality in distributed multi-input multi-output (MIMO) radar with spatially separated transmit (TX) and receive (RX) antennas, as the waveforms may e ... Read More >
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Joint Design of Radar Waveform and Detector via End-to-end Learning with Wavefor ...
The problem of data-driven joint design of transmitted waveform and detector in a radar system is addressed in this paper. We propose two novel learning-based approaches to waveform and detector design based on end-to-end traini ... Read More >