Channel estimation and data detection for frequency-selective time-varying channels are
considered using superimposed training. We employ a discrete prolate spheroidal basis …

Adaptive techniques play a key role in modern wireless communication systems. e concept
of adaptation is emphasized in the Adaptation in Wireless Communications Series across all …

Channel estimation for single-user frequency-selective time-varying channels is considered
using superimposed training. The time-varying channel is assumed to be well-approximated …

In this correspondence, a method is presented for estimating double-selective channels
using superimposed training (ST). The estimator is based on a subspace projection of the …

Channel estimation for single user frequency-selective time-varying channel is considered
using superimposed training. The time-varying channel is assumed to be well-described by …

We present an overview/review of various approaches to channel estimation and
equalization for wireless mobile systems with a brief discussion of channel precoding …

The widespread use of adaptation techniques has helped to meet the increased demand for
new applications. From adaptive signal processing to cross layer design, Adaptation in …

Propagation of signals through wireless channels (indoors or outdoors) results in the
transmitted signal arriving at the receiver through multiple paths. These paths arise due to …

Owing to multipath propagation and Doppler spread, typical wireless channels are both
frequency-and time-selective (doubly-selective). In this dissertation, we concentrate on …

Estimation of single-carrier communication channels based on superimposed training (ST)
has been widely studied in the last years, because it offers a way for estimating the channel …