In this paper we review the most peculiar and interesting information-theoretic and
communications features of fading channels. We first describe the statistical models of …

This text seeks to clarify various contradictory claims regarding capabilities and limitations of
blind equalization. It highlights basic operating conditions and potential for malfunction. The …

A novel method of maximum likelihood sequence estimation is proposed for data that are
transmitted over unknown linear channels. This procedure does not require a startup …

Many signal processing applications pose optimization problems with multimodal and
nonsmooth cost functions. Gradient methods are ineffective in these situations. The adaptive …

A batch blind equalization scheme is developed based on maximum likelihood joint channel
and data estimation. In this scheme, the joint maximum likelihood optimization is …

An important family of blind equalization algorithms identify a communication channel model
based on fitting higher order cumulants, which poses a nonlinear optimization problem …

Many signal processing applications pose optimization problems with multimodal and
nonsmooth cost functions. Gradient methods are ineffective in these situations, and …

A multi-stage blind clustering algorithm is proposed for equalisation of multi-level quadrature
amplitude modulation (M-QAM) channels. A hierarchical decomposition divides the task of …

Estimating the data sequence from the received signal without knowing the transmission
channel is referred to as blind sequence estimation. A new blind sequence estimation …

Space-division multiple-access (SDMA) schemes have been proposed to increase the
capacity of wireless communication systems by simultaneously transmitting and receiving …