An introduction to signal detection and estimation (2nd ed.)

TL;DR: In this paper, the influence of mixture homogenization and the grain size of the mineraliser on the resulting utility properties of the material as well as its microstructure was discussed.

TL;DR: This lecture discusses a number of concerns and items of interest that related to the tracking of targets in clutter, specifically aspects of sampling time for multi-sensor systems, sensor placement with target tracking in mind, and the choice of waveform when the goal is tracking.

TL;DR: A new scheme for maximum-likelihood estimation of both carrier- frequency offset (CFO) and channel coefficients in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is proposed and the expectation-maximization (EM) algorithm is employed.

TL;DR: An adaptive two-stage sensing scheme which performs spectrum sensing using an energy detector first in cognitive radio networks and formulates the detection model as a nonlinear optimization problem to obtain the optimal detection thresholds.