Results 21 to 30 of about 47,868,405 (301)
alisterburt/torch-cubic-spline-grids: v0.0.8 [PDF]
<h2>What's Changed</h2> <ul> <li>bugfix: ensure correct device output for interpolation data by @alisterburt in https://github.com/alisterburt/torch-cubic-spline-grids/pull/15</li> </ul> <p><strong>Full ...
alisterburt
core +1 more source
On spline-on-spline numerical integration formula
In the paper is considered an application of the spline-on-spline interpolation to a numerical integration of the form \[ \int^{x_{j+1}}_{x_ j}f(x)dx\quad or\quad (\int^{x_{j+1}}_{x_ j}f(x)dx)/(\int^{1}_{0}f(x)dx) \] where \(j=0,1,...,n-1\). It is shown that an integral of the spline-on-spline interpoland gives better results than the spline itself ...
Sakai, Manabu, Usmani, Riaz A
openaire +2 more sources
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels [PDF]
A practical single-carrier (SC) block transmission with frequency domain equalisation (FDE) system can generally be modelled by the Hammerstein system that includes the nonlinear distortion effects of the high power amplifier (HPA) at transmitter.
Xia Hong +5 more
core +1 more source
alisterburt/torch-cubic-spline-grids: v0.0.7 [PDF]
<h2>What's Changed</h2> <ul> <li>bugfix: use the matrix which has been registered as a buffer by @alisterburt in https://github.com/alisterburt/torch-cubic-spline-grids/pull/14</li> </ul> <p><strong>Full ...
alisterburt
core +1 more source
Realization of a recursive digital filter based on penalized splines [PDF]
In this paper the possibility of development of the recursive digital filter using a P-spline is considered. The frequency and time response of the spline filter for real-time data are analytically obtained and investigated. The influence of the P-spline
Elena Kochegurova, Danni Wu
doaj +1 more source
Parametrization and penalties in spline models with an application to survival analysis [PDF]
A simple parametrization, built from the definition of cubic splines, is shown to facilitate the implementation and interpretation of penalized spline models, whatever configuration of knots is used.
Costa, Maria J. (Maria João) +1 more
core +1 more source
alisterburt/torch-cubic-spline-grids: v0.0.6 [PDF]
<h2>What's Changed</h2> <ul> <li>Ensure that interpolation matrix is pushed to device with model by @alisterburt in https://github.com/alisterburt/torch-cubic-spline-grids/pull/13</li> </ul> <p><strong>Full
alisterburt
core +1 more source
End conditions for improved cubic spline derivative approximations [PDF]
We consider the problem of deriving accurate end conditions for cubic spline interpolation at equally spaced knots.
Papamichael, N. +3 more
core +1 more source
Modeling of complex-valued Wiener systems using B-spline neural network [PDF]
In this brief, a new complex-valued B-spline neural network is introduced in order to model the complex-valued Wiener system using observational input/output data. The complex-valued nonlinear static function in the Wiener system is represented using the
Hong, Xia +3 more
core +1 more source
Frequency domain maximum correntropy criterion spline adaptive filtering
A filtering algorithm based on frequency domain spline type, frequency domain spline adaptive filters (FDSAF), effectively reducing the computational complexity of the filter.
Wenyan Guo, Yongfeng Zhi, Kai Feng
doaj +1 more source

