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Decentralized regression with asynchronous sub-Nyquist sampling
2014 48th Asilomar Conference on Signals, Systems and Computers, 2014When capturing data on a sensor field to uncover its latent structure, there are often nuisance parameters in the observation model that turn even linear regression problems into non-convex optimizations. One common case is the lack of common timing source in ADCs, therefore samplings are done with time offsets.
Hoi-To Wai, Anna Scaglione
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A Doppler focusing approach for sub-Nyquist radar
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013We investigate the problem of a monostatic radar transceiver trying to detect a sparse target scene. Several past works employ compressed sensing (CS) algorithms to this type of problem, but either do not address sample rate reduction, impose constraints on the radar transmitter, or propose CS recovery methods with prohibitive dictionary size.
Omer Bar-Ilan, Yonina C. Eldar
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Data-assisted sub-Nyquist spectrum sensing
2016 IEEE International Conference on Communication Systems (ICCS), 2016Spectrum sensing is the first step to realize dynamic spectrum sharing. Geo-location database can enable white space devices (WSDs) to make use of the vacant spectrum without harmfully interfering with incumbent services. Dynamic changes of the wireless environment pose significant challenges to the database approach.
Yue Gao 0001 +3 more
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Antialiasing Encoder Interface With Sub-Nyquist Sampling
IEEE Transactions on Instrumentation and Measurement, 2006A technique is presented for reconstructing absolute position or angle from time-sampled outputs of incremental encoders. Unlike existing techniques, the new method is able to track analog quadrature outputs with frequency contents higher than the Nyquist frequency.
Zachary D. Buckner +2 more
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Distortion Rate Function of Sub-Nyquist Sampled Gaussian Sources
IEEE Transactions on Information Theory, 2016 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 sub-Nyquist sampled ...
Alon Kipnis +2 more
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Track-Before-Detect for Sub-Nyquist Radar
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020Sub-Nyquist radars require fewer measurements, facilitating low-cost design, flexible resource allocation, etc. By applying compressed sensing (CS) method, such radars achieve close performance to traditional Nyquist radars. However in low signal-to-noise ratio (SNR) scenarios, detecting weak targets is challenging: low probability of detection and ...
Siqi Na +3 more
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Sub-Nyquist Sampling for Target Detection in Clutter
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018We 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 0047 +3 more
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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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