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Sub-Nyquist radar prototype: Hardware and algorithm
IEEE Transactions on Aerospace and Electronic Systems, 2014Traditional radar sensing typically employs matched filtering between the received signal and the shape of the transmitted pulse. Matched filtering (MF) is conventionally carried out digitally, after sampling the received analog signals. Here, principles from classic sampling theory are generally employed, requiring that the received signals be sampled
Eliahu Baransky +5 more
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The algorithms of sub-Nyquist sampling on TV
Proceedings. IEEE Energy and Information Technologies in the Southeast', 2003A component color TV signal called the TCM signal is proposed, and an algorithm of subsampling on the TCM signal is described. Results both from computer simulation and hardware display show that the picture quality of this method is satisfactory. A 3-D subsampling algorithm is proposed.
D. Xu, Z.-Y. Quan
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Cyclostationary feature detection from sub-Nyquist samples
2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011Wideband spectrum sensing which requires detecting the presence or absence of signals in a wideband channel faces multiple practical issues. Current bandwidth limitations of state-of-the-art analog to digital converters require alternative approaches to be considered for wideband sensing.
Deborah Cohen +4 more
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2023 25th International Conference on Digital Signal Processing and its Applications (DSPA), 2023
Vladislav Lesnikov +3 more
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Vladislav Lesnikov +3 more
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Sub-Nyquist sampling of NTSC video
IEEE 1988 International Conference on Consumer Electronics Digest of Technical Papers., 2003For 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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Sub-Nyquist Interferometry -- Review and Status
Workshop on Optical Fabrication and Testing, 1987Sub-Nyquist interferometry (SNI) is a new method of data analysis for phase-shifting interferometry (PSI) that greatly extends the measurement range of an interferometer for a given amount of data.1 This paper reviews the concept and principles of SNI, and details the progress towards a practical implementation of the technique.
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Data Recovery With Sub-Nyquist Sampling: Fundamental Limit and a Detection Algorithm
Frontiers of Information Technology and Electronic Engineering, 2021Xiqian Luo, Zhaoyang Zhang
exaly
Sub-Nyquist Tensor Beamformer: A Coprimality Constrained Design
IEEE Transactions on Signal Processing, 2023Hang Zheng +3 more
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Wideband Spectrum Sensing Based on Sub-Nyquist Sampling
IEEE Transactions on Signal Processing, 2013Xiaodong Wang, Chia-Pang Yen
exaly

