Introduction: Wind speed probability at a site has to be modeled for evaluating the energy generation potential of a wind farm. Analytical computation of wind turbine capacity factor at the planning stage of a wind farm is very crucial. Thus, the comparison of Weibull parameters estimation methods and computation of wind turbine capacity factor are the focus of this paper. Case description: Sod...

Previously, we have discussed a recursive solution to the vector normal equation utilizing the recursive Cholesky and Modified Gram-Schmidt Orthogonalization (MGSO) algorithms. Previously, we have also discussed a blind adaptive approach for detection and extraction of signals of interest in the presence of noise and interference without relying on preamble or training sequences. The heart of t...

Over any field F every square matrix A can be factored into the product of two symmetric matrices as A = S1 ·S2 with Si = S i ∈ F and either factor can be chosen nonsingular, as was discovered by Frobenius in 1910. Frobenius’ symmetric matrix factorization has been lying almost dormant for a century. The first successful method for computing matrix symmetrizers, i.e., symmetric matrices S such ...

Large amplitude forced vibration behaviour of stiffened plates under harmonic excitation is studied numerically incorporating the effect of geometric non-linearity. The forced vibration analysis is carried out in an indirect way in which the dynamic system is assumed to satisfy the force equilibrium condition at peak excitation amplitude. Large amplitude free vibration analysis of the same syst...

—— This paper describes an evaluation of Inhibition/Enhancement (In/En) network for robust automatic speech recognition (ASR). In distinctive phonetic features (DPFs) based speech recognition using neural network, In/En network is needed to discriminate whether the DPFs dynamic patterns of trajectories are convex or concave. The network is used to achieve categorical DPFs movement by enhancing ...

In order to compute orthogonal eigenvectors of a symmetric tridiagonal matrix without Gram-Schmidt orthogonalization, the MRRR algorithm finds a shifted LDL factorization (representation) for each eigenvalue such that the local eigenvalue is a singleton, that is defined to high relative accuracy and has a large relative gap. MRRR’s representation tree describes how, by successive shifting and r...

 Abstract—This paper proposes new adaptive tree search detection with variable path expansion based on Gram-Schmidt (GS) orthogonalization (GSO) in MIMO systems. We adopt the GSO procedure to reduce the channel matrix instead of the QR-decomposition in the conventional QRM-MLD. This detection scheme combined the GSO reduction with the M-algorithm, what we call GSM-MLD, can achieve near-ML perf...

This paper is concerned with a technique for solving Volterra integral equations in the reproducing kernel Hilbert space. In contrast with the conventional reproducing kernel method,the Gram-Schmidt process is omitted here and satisfactory results are obtained. The analytical solution is represented in the form of series. An iterative method is given to obtain the approximate solution. The conv...

Transient solutions of the equations for particle size distributions in a Brownian coagulation process have been obtained by the method of weighted residuals. The trial functions for expansion of the size distribution function were obtained by Gram-Schmidt orthogonalizafion of the set {n~} using an inner product with a weight function that was obtained by solving the equation of change with a c...