Certain Topics in Telegraph Transmission Theory

By H. Nyquist. 1928

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Citations in the corpus

Making Convolutional Networks Shift-Invariant Again (2019, background): “This phenomenon is commonly illustrated in movies, where wheels appear to spin backwards, known as the Stroboscopic effect, due to the frame rate not meeting the classical sampling criterion (Nyquist, 1928).”
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation (2021, background): “In particular, when downsampling a signal, one must consider the Nyquist sampling criterion [51] and antialias to prevent high-frequency information from aliasing into the output.”
Perceiver: General Perception with Iterative Attention (2021, background): “μ 2 can be naturally interpreted as the Nyquist frequency (Nyquist, 1928) corresponding to a target maximum resolvable frequency μ.”
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar (2019, unknown): “To achieve alias-free signal sampling and symbol transmission, the communication symbol duration or the radar code duration, denoted by ts, should satisfy ts ≥ 1/(2B) [44], where B is the baseband bandwidth of the transmit platform.”
Xampling: Analog to digital at sub-Nyquist rates (2009, background): “The Shannon-Nyquist theorem [1], [2] lies at the heart of essentially all ADC devices.”
Sampling-50 years after Shannon (2000, background): “Orthonormality is a fundamental property of the sinc-function that has been revived recently.”
Frequency‐Bessel Transform Method for Effective Imaging of Higher‐Mode Rayleigh Dispersion Curves From Ambient Seismic Noise Data (2019, methodology): “According to the well-known Nyquist-Shannon theorem (Nyquist, 1928; Shannon, 1949), spatial sampling rate (Δr) should satisfy the following condition to avoid aliasing,”
Enhancement of aerosol characterization using synergy of lidar and sun - photometer coincident observations: the GARRLiC algorithm (2013, background): “According to the Kotelnikov–Nyquist theorem (Nyquist, 1928; Kotelnikov, 1933) the lower sampling rate at high altitudes decreases the amplitudes of high frequency oscillations, which usually are attributed to noise.”
Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: A resting-state fMRI study (2011, background): “Here it is (1/2)*(1/TR)=0.25 Hz] (Nyquist, 1928) can be examined in subsequent analyses of LFO amplitude.”
Progress in magnetic domain observation by advanced magneto-optical microscopy (2015, methodology): “This relation is given by the Nyquist criterion [169, 170].”