scholarly journals Nyquist limit

2020 ◽  
Author(s):  
Balint Botz
Keyword(s):  
Nyquist Limit

Application of Optimal Finite-Length Signals for Overcoming “Nyquist Limit”

2018 ◽  
pp. 172-180 ◽  
Author(s):  
Sergey V. Zavjalov ◽  
Anna S. Ovsyannikova ◽  
Ilya I. Lavrenyuk ◽  
Sergey V. Volvenko ◽  
Sergey B. Makarov
Keyword(s):  
Finite Length ◽  
Nyquist Limit

Spectral envelope recovery beyond the nyquist limit for high-quality manipulation of speech sounds

2008 ◽  
Author(s):  
Hideki Kawahara ◽  
Masanori Morise ◽  
Hideki Banno ◽  
Toru Takahashi ◽  
Ryuichi Nisimura ◽  
...  
Keyword(s):  
Spectral Envelope ◽  
Speech Sounds ◽  
High Quality ◽  
Nyquist Limit

Seeing Beyond the Nyquist Limit

1992 ◽  
Vol 4 (5) ◽  
pp. 682-690 ◽  
Author(s):  
Daniel L. Ruderman ◽  
William Bialek
Keyword(s):  
A Priori ◽  
Nyquist Frequency ◽  
Regular Array ◽  
Sensory Stimuli ◽  
High Frequencies ◽  
Natural Case ◽  
Receptor Array ◽  
Stimulus Reconstruction ◽  
Nyquist Limit ◽  
Reconstruction Strategy

In many biological systems the primary transduction of sensory stimuli occurs in a regular array of receptors. Because of this discrete sampling it is usually assumed that the organism has no knowledge of signals beyond the Nyquist frequency. In fact, higher frequency signals are expected to mask the available lower frequency information as a result of aliasing. It has been suggested that these considerations are important in understanding, for example, the design of the receptor lattice in the mammalian fovea. We show that if the organism has knowledge of the probability distribution from which the signals are drawn, outputs from a discrete receptor array can be used to estimate signals beyond the Nyquist limit. In effect, a priori knowledge can be used to de-alias the image, and the estimated signal above the Nyquist cutoff is in fact coherent with the real signal at these high frequencies. We address initially the problem of stimulus reconstruction from a noisy receptor array responding to a Gaussian stimulus ensemble. In this case, the best reconstruction strategy is a simple linear transformation. In the more interesting (and natural) case of nongaussian stimuli, optimal reconstruction requires nonlinear operations, but the higher order correlations in the stimulus ensemble can be used to improve the estimate of super-Nyquist signals.

scholarly journals Nyquist limit and orifice area independently affect the accuracy of proximal isovelocity surface area estimation of flow rate:An in vitro study

1990 ◽  
Vol 15 (2) ◽  
pp. A109 ◽  
Author(s):  
Leonardo Rodriquez ◽  
Joseph Anconina ◽  
Pamela Harrigan ◽  
Robert A Levine ◽  
Victor H Monterroso ◽  
...  
Keyword(s):  
Surface Area ◽  
In Vitro Study ◽  
Vitro Study ◽  
Orifice Area ◽  
Area Estimation ◽  
Proximal Isovelocity Surface Area ◽  
Nyquist Limit

A new pulsed wave Doppler ultrasound system to measure blood velocities beyond the Nyquist limit

1995 ◽  
Vol 42 (2) ◽  
pp. 265-279 ◽  
Author(s):  
H.J. Nitzpon ◽  
J.C. Rajaonah ◽  
C.B. Burckhardt ◽  
B. Dousse ◽  
J.J. Meister
Keyword(s):  
Doppler Ultrasound ◽  
Pulsed Wave Doppler ◽  
Ultrasound System ◽  
Nyquist Limit

scholarly journals Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit

2014 ◽  
Vol 407 ◽  
pp. 33-42 ◽  
Author(s):  
Justina Žurauskienė ◽  
Paul Kirk ◽  
Thomas Thorne ◽  
Michael P.H. Stumpf
Keyword(s):  
Oscillatory Systems ◽  
Nyquist Limit ◽  
Non Parametric
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