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Compressive sensing and sub-Nyquist sampling
IEEE Instrumentation & Measurement Magazine, 2020The Nyquist-Shannon sampling theorem states that if all that you know about a signal is that its highest frequency is no greater than B, then if you want to sample the signal without any loss of information, you must sample it at a rate that is greater than 2B.
Roi Arie +2 more
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Workshop on Optical Fabrication and Testing, 1986
The primary limitation of conventional phase-shifting or heterodyne interferometry (PSI) is its inability to measure the profile of surfaces or wavefronts with large departures from a best-fit reference sphere. The surface must have limited asphericity.
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The primary limitation of conventional phase-shifting or heterodyne interferometry (PSI) is its inability to measure the profile of surfaces or wavefronts with large departures from a best-fit reference sphere. The surface must have limited asphericity.
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Reduction of Misdetections in Sub-Nyquist Spectrum Sensing
2020 5th International Conference on Computing, Communication and Security (ICCCS), 2020Performing wideband spectrum sensing efficiently and fast is an important requirement of cognitive radio networks. For easier sampling and processing of wideband frequencies, sub-Nyquist schemes are used. In this paper, an attempt is made to reduce misdetections with sub-Nyquist spectrum sensing using the modulated wideband converter (MWC).
Sneha Gem Mathew, Chris Prema S
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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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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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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 ...
Andrea Goldsmith +2 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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