An intruder detection method by using time variant Multiple Input Multiple Output (MIMO) channels has been proposed (MIMO sensor). In this letter, the detection performance using eigenvectors, which are obtained by singular value decomposition for MIMO channel matrix, is evaluated in actual indoor propagation environment. Moreover, a new diversity method using multiple eigenvectors is proposed ...

Second order statistics estimates in the form of sample eigenvalues and sample eigenvectors give a sub optimal description of the population density. So far only attempts have been made to reduce the bias in the sample eigenvalues. However, because the sample eigenvectors differ from the population eigenvectors as well, the population eigenvalues are biased estimates of the variances along the ...

Face recognition has advantages over other biometric methods. Principal Component Analysis (PCA) has been widely used for the face recognition algorithm. PCA has limitations such as poor discriminatory power and large computational load. Due to these limitations of the existing PCA based approach, we used a method of applying PCA on wavelet subband of the face image and two methods are proposed...

We first show that the eigenvector of a tensor is well-defined. The differences between the eigenvectors of a tensor and its E-eigenvectors are the eigenvectors on the nonsingular projective variety S = {x ∈ P | n

Abstract We prove and discuss several fixed point results for nonlinear operators, acting on some classes of functions with values in a b-metric space. Thus we generalize extend recent theorem Dung Hang (J Math Anal Appl 462:131–147, 2018), motivated by outcomes Ulam type stability. As simple consequence obtain, particular, that approximate (in sense) eigenvalues linear function spaces, must be...