This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
In this paper we propose a block-by-block iterative receiver for underwater MIMO-OFDM that couples channel estimation with MIMO detection and channel decoding. In particular, the c...
Jie Huang, Jianzhong Huang, Christian R. Berger, S...
— Decision directed channel tracking (DDCT) at high fade rates in OFDM based systems is addressed in this paper. Existing DDCT algorithms like the expectation-maximization (EM) a...
This paper presents a new method for reverberant speech separation, based on the combination of binaural cues and blind source separation (BSS) for the automatic classification o...