Research Article | 27-May-2018
In this paper, we present, in the real example, canonical variables applicable in the case of multivariate repeated measures data under the following assumptions: (1) multivariate normality for the vector of observations and (2) Kronecker product structure of the positive definite covariance matrix. These variables are especially useful when the number of observations is not large enough to estimate the covariance matrix, and thus the traditional canonical variables fail. Computational schemes
Mirosław Krzyśko,
Wojciech Łukaszonek,
Waldemar Wołyński
Statistics in Transition New Series, Volume 19 , ISSUE 1, 75–85
Research Article | 24-August-2017
of features relating to higher education. To investigate the changes in higher education in the period of economic and social transformation, observations were made of fundamental characteristics of higher education in the years 2002–2013. The applied procedure uses new statistical methods applicable to a space of doubly multivariate data. The covariance matrix used to construct principal components is given the structure of a Kronecker product. The results led to the identification of six groups
Wojciech Łukaszonek
Statistics in Transition New Series, Volume 18 , ISSUE 2, 271–290
Article | 01-December-2016
matrices requiring huge storage memory and resulting in high computational cost for faithful sparse signal representation. Based on the restricted isometry and coherence properties, the Kronecker product of hybrid ‘L’ deterministic measurement matrix has been proposed for fast calculation and easy hardware implementation of the GPS acquisition module. Simulation results for weak signals of C/N0 25 dB-Hz show that the compressed sensing combined with post-correlation differential detection scheme has
G.Arul Elango,
Gnanou Florence Sudha
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1877–1899
Research Article | 13-December-2018
Mirosław Krzyśko,
Wojciech Łukaszonek,
Waldemar Wołyński
Statistics in Transition New Series, Volume 19 , ISSUE 3, 495–506