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Biophysical characterization of <i>sp</i>Cas9 binding and cleavage using real-time electronic biosensors.

Sens Diagn
Ban DK, Parate K, Bharadwaj D, Wong A, Schoch L, Visk K, Aran K.   +6 more
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Sub-Nyquist Sampling

IEEE Signal Processing Magazine, 2011
In this article, we review sampling strategies that target reduction of the ADC rate below Nyquist. Our survey covers classic works from the early 1950s through recent publications from the past several years. The prime focus is bridging theory and practice, that is, to pinpoint the potential of sub-Nyquist strategies to emerge from the math to the ...
Moshe Mishali, Yonina C Eldar
exaly   +2 more sources

Sub-Nyquist Sampling of Multiple Sinusoids

IEEE Signal Processing Letters, 2018
In this letter, we propose new sub-Nyquist sampling schemes for multiple sinusoids, which require fewer number of samples than previous works. Since it is impossible to resolve the frequency ambiguity using a single sub-Nyquist sample sequence, an additional sampling channel is used to determine the correct frequencies. First, a time-staggered sampling
Ning Fu, Guoxing Huang, Le Zheng
exaly   +2 more sources

Sub-Nyquist sampling with independent measurements

Signal Processing, 2020
Abstract This paper presents an efficient sub-Nyquist pulse-Doppler radar system via quadrature compressive sampling (QuadCS) in fast-time domain. QuadCS is a bandpass variant of random demodulation and inserts randomness into the measurement matrix by employing a random chipping signal.
Shengyao Chen, Zhiyong Cheng, Huizhang Yang   +2 more
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Sub-NYQUIST Multichannel Blind Deconvolution

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
We consider a continuous-time sparse multichannel blind deconvolution problem. The signal at each channel is expressed as the convolution of a common source signal and its impulse response given as a sparse filter. The objective is to identify these sparse filters from sub-Nyquist samples of channel outputs by leveraging the correlation across channels.
Satish Mulleti, Kiryung Lee, Yonina C. Eldar   +2 more
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Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios

IEEE Transactions on Signal Processing, 2012
Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive ...
, Wei-Yu Chiu, Arumugam Nallanathan
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Compressive sensing and sub-Nyquist sampling

IEEE Instrumentation & Measurement Magazine, 2020
The 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, Avraham Brand, Shlomo Engelberg   +2 more
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Sub-Nyquist Interferometry

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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Reduction of Misdetections in Sub-Nyquist Spectrum Sensing

2020 5th International Conference on Computing, Communication and Security (ICCCS), 2020
Performing 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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