This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly
detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) …

Linear equalizers (LEs) have been widely adopted for practical systems due to their low
computational complexity. However, it is also well known that LEs provide inferior …

In this paper, we investigate the possibility of reliable and computationally efficient detection
for spectrally efficient non-orthogonal Multiplexing (FDM) system, exhibiting varying levels of …

In this paper, we investigate the performance of various detection techniques for a spectrally
efficient Frequency Division Multiplexing (FDM) system. In particular, we evaluate by …

Spectral efficiency is a key design issue for all wireless communication systems. Orthogonal
frequency division multiplexing (OFDM) is a very well-known technique for efficient data …

This thesis considers theoretical, analytical and engineering design issues relating to non-
orthogonal Spectrally Efficient Frequency Division Multiplexing (SEFDM) communication …

We derive two types of approximate maximum likelihood (ML) detection based on minimum
mean squared error (MMSE), MMSE-CML (conditional ML) detection and MMSECLML …

In this paper, we evaluate the computational complexity and the performance of the RAKE
receivers for the Direct Sequence--Ultra Wideband (DS-UWB) with considering the accuracy …

This paper proposes a suboptimal algorithm for the maximum likelihood detection (MLD) in
multiple-input multiple-output (MIMO) communications. The proposed algorithm regards …

In this paper, we propose a robust space-time block coded (STBC)-based transmit diversity
scheme with low decoding complexity against spatially transmit-correlated fading channels …