Results 1 to 10 of about 40,188 (259)
High-Frequency Ultrasound Imaging With Sub-Nyquist Sampling. [PDF]
IEEE Trans Ultrason Ferroelectr Freq Control, 2022 Implementation of a high-frequency ultrasound (HFUS) beamformer is computationally challenging because of its high sampling rate. This article introduces an efficient beamformer with sub-Nyquist sampling (or bandpass sampling) that is suitable for HFUS imaging.
Kang J, Yoon H, Yoon C, Emelianov SY.
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Sub-Nyquist artefacts and sampling moiré effects [PDF]
Royal Society Open Science, 2015 Sampling moiré effects are well known in signal processing. They occur when a continuous periodic signal g(x) is sampled using a sampling frequency fs that does not respect the Nyquist condition, and the signal-frequency f folds over and gives a new ...
Isaac Amidror
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Channel Capacity under Sub-Nyquist Nonuniform Sampling [PDF]
IEEE Transactions on Information Theory, 2014 This paper investigates the effect of sub-Nyquist sampling upon the capacity of an analog channel. The channel is assumed to be a linear time-invariant Gaussian channel, where perfect channel knowledge is available at both the transmitter and the ...
Chen, Yuxin +2 more
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Wideband spectrum sensing based on advanced sub-Nyquist sampling structure [PDF]
EURASIP Journal on Advances in Signal Processing, 2022 As the bandwidth increases, the high-speed sampling rate becomes the bottleneck for the development of wideband spectrum sensing. Wideband spectrum sensing with sub-Nyquist sampling attracts more attention and modulated wideband converter (MWC) is an ...
Xue Wang, Qian Chen, Min Jia, Xuemai Gu
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Distortion-Rate Function of Sub-Nyquist Sampled Gaussian Sources [PDF]
IEEE Transactions on Information Theory, 2015 The amount of information lost in sub-Nyquist sampling of a continuous-time Gaussian stationary process is quantified. We consider a combined source coding and sub-Nyquist reconstruction problem in which the input to the encoder is a noisy sub-Nyquist ...
Eldar, Yonina C. +3 more
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Wideband Spectrum Sensing Based on Single-Channel Sub-Nyquist Sampling for Cognitive Radio [PDF]
Sensors, 2018 Spectrum sensing is an important task in cognitive radio. However, currently available Analog-to-Digital Converters (ADC) can hardly satisfy the sampling rate requirement for wideband signals. Even with such an ADC, the cost is extremely high in terms of
Changjian Liu +3 more
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Sub-Nyquist Sampling: Bridging Theory and Practice [PDF]
, 2011 Sampling theory encompasses all aspects related to the conversion of continuous-time signals to discrete streams of numbers. The famous Shannon-Nyquist theorem has become a landmark in the development of digital signal processing. In modern applications,
Eldar, Yonina C., Mishali, Moshe
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Sparse Recovery Optimization in Wireless Sensor Networks with a Sub-Nyquist Sampling Rate [PDF]
Sensors, 2015 Compressive sensing (CS) is a new technology in digital signal processing capable of high-resolution capture of physical signals from few measurements, which promises impressive improvements in the field of wireless sensor networks (WSNs).
Davide Brunelli, Carlo Caione
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Neural Network-Assisted DPD of Wideband PA Nonlinearity for Sub-Nyquist Sampling Systems [PDF]
SensorsThe design of conventional digital predistortion (DPD) requires an analogue-to-digital converter (ADC) with a sampling frequency that is multiple times the signal bandwidth, which is extremely challenging for sub-Nyquist sampling systems with ...
Mengqiu Liu +6 more
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Wireless Technology Recognition Based on RSSI Distribution at Sub-Nyquist Sampling Rate for Constrained Devices [PDF]
Sensors, 2017 Driven by the fast growth of wireless communication, the trend of sharing spectrum among heterogeneous technologies becomes increasingly dominant. Identifying concurrent technologies is an important step towards efficient spectrum sharing.
Wei Liu +5 more
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