This library provides a simple way to interpolate between values across a range. It supports N-dimensional values, mixed types, and interpolation across any number of data sets. Inverted ranges work ...
Abstract: We show that the task of synthesizing human motion conditioned on a set of key frames can be solved more accurately and effectively if a deep learning based interpolator operates in the ...
1 University of Scranton, Scranton, PA, United States 2 Department of Physics and Engineering, New Jersey Institute of Technology, Newark, NJ, United States It has been shown that a proxy ...
This paper analyzes and compares two time interpolators, i.e., time replica and time linear interpolator, for pilot aided channel estimation in orthogonal frequency ...
In this retrospective cohort study of patients with Loeys‐Dietz syndrome, we validate cervical carotid tortuosity as a marker for risk assessment in heritable aortopathies. We demonstrate for the ...
assert.InDelta(t, 1.0, interpolator.Value(-1.0), tol) assert.InDelta(t, 1.0, interpolator.Value(0.0), tol) assert.InDelta(t, 1.0, interpolator.Value(1.0), tol) assert ...
DSOs (digital oscilloscopes) offer a great many advantages over their analog equivalents but as they say, “There’s no such thing as a free lunch.” Digital scopes sample, digitize, and store waveforms ...
In this paper we introduce pkann, a freely available software package for interpolating the non-linear matter power spectrum, constructed using artificial neural networks (ANNs). Previously, using ...
Optical or magnetic sensors for position and angle sensing in motion control systems generally provide sine and cosine signals for conversion. The 90° phase shift between sine and cosine allows ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback