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Digital Communications

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The article was published on 1983-01-01 and is currently open access. It has received 25017 citations till now.

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Journal ArticleDOI

The expectation-maximization algorithm

TL;DR: The EM (expectation-maximization) algorithm is ideally suited to problems of parameter estimation, in that it produces maximum-likelihood (ML) estimates of parameters when there is a many-to-one mapping from an underlying distribution to the distribution governing the observation.
Journal ArticleDOI

From theory to practice: an overview of MIMO space-time coded wireless systems

TL;DR: An overview of progress in the area of multiple input multiple output (MIMO) space-time coded wireless systems is presented and the state of the art in channel modeling and measurements is presented, leading to a better understanding of actual MIMO gains.
Journal ArticleDOI

Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

TL;DR: An adaptive algorithm to estimate the mmWave channel parameters that exploits the poor scattering nature of the channel is developed and a new hybrid analog/digital precoding algorithm is proposed that overcomes the hardware constraints on the analog-only beamforming, and approaches the performance of digital solutions.
Journal ArticleDOI

Variable-rate variable-power MQAM for fading channels

TL;DR: There is a constant power gap between the spectral efficiency of the proposed technique and the channel capacity, and this gap is a simple function of the required bit-error rate (BER).
Dissertation

Space-Time Codes for High Data Rate Wireless Communications

Ran Gozali
TL;DR: Results show that remarkable energy and spectral efficiencies are achievable by combining concepts drawn from space-time coding, multiuser detection, array processing and iterative decoding.