Results 161 to 170 of about 2,236 (212)

Near-Field Channel Parameter Estimation and Localization for mmWave Massive MIMO-OFDM ISAC Systems via Tensor Analysis. [PDF]

Sensors (Basel)
Jiang L, Guan J, Du J, Jiang W, Cheng Y.
europepmc   +1 more source

Residual-aided CSI-free end-to-end learning for multiuser MIMO. [PDF]

PLoS One
Affum EA, Futa O, Oppong MA, Biney DO.
europepmc   +1 more source

Deep Learning for scaling large-aperture photoacoustic computed tomography : From single fingers to the human hand. [PDF]

Ultrasonics
Choi S, Ferrara KW.
europepmc   +1 more source

Research on Piezoelectric Guided Wave Frequency Diverse Array-Based Damage Location Method for Thin-Walled Structures. [PDF]

Micromachines (Basel)
Wang C, Hu Q, Zhong Y.
europepmc   +1 more source

Adaptive Channel Estimation for Semi-Passive IRS with Optimized Sensor Deployment. [PDF]

Sensors (Basel)
Han Z, Wang H, Wang Y, Fan Z.
europepmc   +1 more source

Hybrid Beamforming for Active Sensing Using Sparse Arrays [PDF]

IEEE Transactions on Signal Processing, 2020
This paper studies hybrid beamforming for active sensing applications, such as millimeter-wave or ultrasound imaging. Hybrid beamforming can substantially lower the cost and power consumption of fully digital sensor arrays by reducing the number of active front ends. Sparse arrays can be used to further reduce hardware costs.
Robin Rajamäki, Sundeep Prabhakar Chepuri, Visa Koivunen   +2 more
exaly   +6 more sources

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Sparse Convolutional Beamforming for Wireless Ultrasound

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Wireless ultrasound systems can make the imaging process much more efficient, affordable and accessible for users. The standard technique to create B-mode images is to rely on delay and sum (DAS) beamforming, in which the signals at each transducer element are sampled and processed by introducing appropriate delays. However, the sampling rates required
Alon Mamistvalov, Yonina C. Eldar
openaire   +1 more source

Window Beamformer for Sparse Concentric Circular Array

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
This work proposes a practical fixed beamformer for a sparse concentric circular array (CCA) of microphones. Firstly, a method is proposed which enables the reduction of the number of microphones in a CCA based on the optimal placement of the microphones to maximize the directivity-factor (DF).
Rajib Sharma, Israel Cohen, Baruch Berdugo   +2 more
openaire   +1 more source

Beamformer design with sparse filters

2015 IEEE International Conference on Digital Signal Processing (DSP), 2015
In designing broadband beamformers, when the number of microphone increases and the filters are long, the complexity can grow significantly. It is advantageous if many of the filter coefficients are zeroes so that the implementation can be executed with less computation. In this paper, the sparse design of beamformers is studied.
Ming Jie Gao, Ka Fai Cedric Yiu
openaire   +1 more source