Results 101 to 110 of about 102,342 (297)
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
We develop a recursive least squares (RLS) type algorithm with a minimax concave penalty (MCP) for adaptive identification of a sparse tap-weight vector that represents a communication channel.
Bowen Li +4 more
doaj +1 more source
Jitter noise modeling and its removal using recursive least squares in shape from focus systems. [PDF]
Mutahira H, Shin V, Park U, Muhammad MS.
europepmc +1 more source
Particle rounding effects comparison of different methods: (a), (b), and (c) are the rounding results using the B‐spline curve method with different R; (d), (e), and (f) are the results of vertex rounding substitution method with different rounding radii.
Jiabin Dong +6 more
wiley +1 more source
Speed control of induction motor using fuzzy recursive least squares technique
A simple adaptive controller design is presented in this paper, the control system uses the adaptive fuzzy logic, sliding modes and is trained with the recursive least squares technique.
Santiago Sánchez, Eduardo Giraldo
doaj
This paper demonstrates the assessment of the small-signal stability of a single-machine infinite- bus power system under widely varying loading conditions using the concept of synchronizing and damping torques coefficients.
E. A. Feilat
doaj +1 more source
Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems. [PDF]
Ai X, Zhao J, Zhang H, Sun Y.
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Robust Regularized Recursive Least-Squares Algorithm Based on Third-Order Tensor Decomposition
The decomposition-based adaptive filtering algorithms have recently gained increasing interest due to their capability to reduce the parameter space.
Radu-Andrei Otopeleanu +5 more
doaj +1 more source
Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil. [PDF]
Queiroz ERC +3 more
europepmc +1 more source

