Genetic correlation (rg) analysis determines how much of the correlation between two measures is due to common genetic influences. In an analysis of 4 Tesla diffusion tensor image...
Correlation matrices are ubiquitous throughout signal processing, networking and in many areas of science. However, our study of the literature found that there is limited research...
In this paper, a new information theoretic algorithm is proposed for signal enumeration in DS-CDMA networks. The approach is based on the predictive description length (PDL) of the...
In this paper, we present a novel method for estimating the effective number of independent variables in imaging applications that require multiple hypothesis testing. The method ...
— In block-fading transmission, the discrete-time taps of time-varying channels can be generally modelled as a stationary random vector process with unknown and rank-deficient c...
—Among all blind channel estimation problems, subspace-based algorithms are attractive due to its fastconverging nature. It primarily exploits the orthogonality structure of the ...
— The second-order statistics of a time-domain signal are very often used in blind and semi-blind channel estimation. Considering that the received signal in MIMO-OFDM systems mi...