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Found 8 papers, 2 papers with code
Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator
The consistent estimator, coupled with a one-dimensional grid search, is used to set the value of the regularization parameter required for the proposed NL-RLDA classifier.
Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach
In a high-dimensional setting, it is well known that the sample covariance matrix is not a proper estimator of the true covariance matrix since it is not invertible when we have fewer observations than the data dimension.
Mean-square Analysis of the NLMS Algorithm
This work presents a novel approach to the mean-square analysis of the normalized least mean squares (NLMS) algorithm for circular complex colored Gaussian inputs.
Heart Segmentation From MRI Scans Using Convolutional Neural Network
Heart is one of the vital organs of human body.
Spatio-Temporal RBF Neural Networks
Herein, we propose a spatio-temporal extension of RBFNN for nonlinear system identification problem.
q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm
The proposed $q$-least mean fourth ($q$-LMF) is an extension of least mean fourth (LMF) algorithm and it is based on the $q$-calculus which is also known as Jackson derivative.
Comments on "Momentum fractional LMS for power signal parameter estimation"
The purpose of this paper is to indicate that the recently proposed Momentum fractional least mean squares (mFLMS) algorithm has some serious flaws in its design and analysis.
Comments on "Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization"
The purpose of this note is to highlight some critical flaws in recently proposed fractional-order variants of complex least mean square (CLMS) and normalized least mean square (NLMS) algorithms in "Design of Fractional-order Variants of Complex LMS and Normalized LMS Algorithms for Adaptive Channel Equalization" [Non-linear Dyn.
Optimization and Control
