We propose a hypothesis disparity regularized mutual information maximization (HDMI) approach to tackle unsupervised transfer---as an effort towards unifying transfer learning (HTL) and domain adaptation (UDA)---where the knowledge from source is transferred solely through hypotheses adapted target in manner. In contrast prevalent HTL UDA approaches that typically use single hypothesis, HDMI em...

In this paper, Bit Interleaved Coded Modulation systems with Iterative Decoding (BICM-ID) for Multiple Input Multiple Output (MIMO) channel are considered. Based on minimizing pair-wise error probability, a design criterion is proposed to find the optimal multi-dimensional constellation mapping for a MIMO-BICM-ID system. Using the design criterion and employing the Binary Switching Algorithm, s...

We present an enhanced direct linear discriminant analysis (EDLDA) solution to effectively and efficiently extract discriminatory features from high dimensional data. The EDLDA integrates two types of class-wise weighting terms in estimating the average within-class and between-class scatter matrices in order to relate the resulting Fisher criterion more closely to the minimization of classific...

Use of dual-polarized arrays in multiple-input multiple-output (MIMO) systems is addressed in this paper. A new and simple analytical model of dual-polarized Rayleigh and Ricean fading channels is taken, which relies on a limited number of physical parameters, such as the spatial correlations, the co-polar gain imbalance and the cross-polar discrimination. Then, the multiplexing advantage of du...