Results 241 to 250 of about 40,188 (259)

A Sub-Nyquist Rate Sampling Receiver Exploiting Compressive Sensing

IEEE Transactions on Circuits and Systems I: Regular Papers, 2011
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Chen, Xi, Yu, Zhuizhuan, Hoyos, Sebastian, Sadler, Brian M., Silva-Martinez, Jose   +4 more
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Sub-Nyquist sampling of NTSC video

IEEE 1988 International Conference on Consumer Electronics Digest of Technical Papers., 2003
For deghosting purposes, both the in-phase and quadrature parts of the vestigial sideband TV signal are needed. This new scheme can reduce the sampling rate to lower than the Nyquist rate of either part. It comprises sampling rate reduction and complex signal processing for signal recovery. >
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Cooperative compressive spectrum sensing by sub-Nyquist sampling

2009 First UK-India International Workshop on Cognitive Wireless Systems (UKIWCWS), 2009
Compressive Sensing (CS) is a novel framework shows that a Qb-point discrete time signal that is k-sparse, can be exactly recovered by using small amounts of linear projections. In this paper, we propose an aliasing-based distributed compressive spectrum sensing technique for Cognitive Radio (CR) networks.
Hongjian Sun, David I. Laurenson, John S. Thompson   +2 more
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Multichannel Sub-Nyquist Sampling for Ultrasound Imaging Applications

2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC), 2018
As for the ultrasound imaging systems, reducing the high rate sampled data allows more efficient processing, which can translate to both the power consumption reduction and smaller system size. Based on the similar concepts in modulated wideband converter for multiband signals, the scheme of multichannel sampling of streams of pulses can operate at sub-
Zhijun Pei, Yaxin Wang
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Deep learning for sub-Nyquist sampling scanning white light interferometry

Optics Letters, 2023
This Letter introduces sub-Nyquist sampling vertical scanning white light interferometry (SWLI) using deep learning. The method designs Envelope-Deep Residual Shrinkage Networks with channel-wise thresholds (E-DRSN-cw), a network model extracting oversampling envelopes from undersampled signals. The model improves the training efficiency, accuracy, and
Hangang Liang, Honghai Shen, Penghui Liu, Mingyuan Dong, Chunhui Yan, Lingtong Meng, Dong Yao   +6 more
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Wideband power spectrum sensing using sub-Nyquist sampling

2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, 2011
Compressive sampling (CS) is famous for its ability to perfectly reconstruct a sparse signal based on a limited number of measurements. In some applications, such as in spectrum sensing for cognitive radio, perfect signal reconstruction is not really needed.
Dyonisius Dony Ariananda, Geert Leus
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Aliasing-tolerant sub-Nyquist sampling of FRI signals

2013 IEEE International Conference on Communications (ICC), 2013
This paper addresses the sampling of Finite Rate of Innovation (FRI) signals and proposes new lower bounds for accurate reconstruction. Recently, the FRI approach has been established next to the Compressed Sensing framework to deal with signals which are sparse in their parametric description.
Andre Angierski, Volker Kuehn
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A sub-Nyquist sampling signal processing sonar receiver

2012 Oceans - Yeosu, 2012
Sub-Nyquist bandpass sampling offers an attractive approach to reducing the complexity of multi-channel sonar receivers also reducing costly duplication of analogue hardware. Digital frequency down-conversion following high-rate sampling is an established method for economic multiple-channel receiver design. This paper describes an architecture, design
Neil L. Scott, Miles Leonard-Taylor, Sudhir Singh, Derek Richardson   +3 more
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Sub-Nyquist sampling-based high-frequency photoacoustic computed tomography

Optics Letters
High-frequency (greater than 30 MHz) photoacoustic computed tomography (PACT) provides the opportunity to reveal finer details of biological tissues with high spatial resolution. To record photoacoustic signals above 30 MHz, sampling rates higher than 60 MHz are required according to the Nyquist sampling criterion.
Songde Liu, Chenxi Zhang, Junyi Zhang, Xingyang Liu, Benpeng Zhu, Chao Tian   +5 more
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Sub-Nyquist Sampling for Target Detection in Clutter

2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018
We analyze target detection for sub-Nyquist radar in an environment with clutter. The target is assumed to be a Gaussian point target and the clutter a stationary Gaussian random process. The optimal detector and detection probability under the Neyman-Pearson criterion is derived.
Yang Li, Qian He, Rick S. Blum, Kumar Vijay Mishra   +3 more
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