Results 51 to 60 of about 112,714 (291)
Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion
In order to reduce the complexity of the massive MIMO channel estimation, a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion, the complexity was greatly reduced.
Bing WANG +3 more
doaj +2 more sources
Bias Compensation for AOA-Geolocation of Known Altitude Target Using Single Satellite
To reduce the passive localization bias caused by the nonlinearity between the target position and measurements under high noise level and poor geometry conditions, the bias compensation method for known altitude target geolocation using angles of ...
Chaoxin He, Min Zhang, Fucheng Guo
doaj +1 more source
Taylor series solution of the M/M/1 queueing system
A Taylor series method for determining the transient probabilities of the classical single server queueing system is presented. The method is direct, practical and avoids Bessel function theory, Laplace transform theory and complex analysis.
Krinik, Alan
core +1 more source
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana +9 more
wiley +1 more source
Convergent Power Series of sech(x) and Solutions to Nonlinear Differential Equations
It is known that power series expansion of certain functions such as sech(x) diverges beyond a finite radius of convergence. We present here an iterative power series expansion (IPS) to obtain a power series representation of sech(x) that is convergent
U. Al Khawaja, Qasem M. Al-Mdallal
doaj +1 more source
On Taylor-series expansion methods for the second kind integral equations
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pallop Huabsomboon +2 more
openaire +2 more sources
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Use Sequences to improve the numerical Riemann method to calculate integrals [PDF]
The purpose of this research is the improvement of the numerical Riemann's integral using series. Riemann's method displayed in this research and we suggested an algorithm to improve the convergence using Geometric series, p-series and Taylor series for ...
Mohamةed Altaie
doaj +1 more source
Changing variables in Taylor series with applications to PDEs
International audienceHow to compute a Taylor series with respect to a coordinate system, when this series is known with respect to alternative coordinates?
Koutsawa, Yao +3 more
core +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source

