A high-precision spectral motional Stark effect (MSE) diagnostic provides internal magnetic field measurements for Madison Symmetric Torus (MST) plasmas. Currently, MST uses two spatial views--on the magnetic axis and on the midminor (off-axis) radius, the latter added recently. A new analysis scheme has been developed to infer both the pitch angle and the magnitude of the magnetic field from M...

This paper deals with an adaptive multiuser detector for direct sequence code division multiple-access (DS-CDMA) systems. A modified receiver, precombinig LMMSE is considered under time varying channel environment. Detector updating is performed with two criterions, mean square estimation (MSE) and MOE optimization technique. The adaptive implementation issues of these two schemes are quite dif...

In this paper, we consider the problem of preamble design in multiple-input multiple-output (MIMO) systems employing offset quadrature amplitude modulation based filter bank multicarrier (OQAM/FBMC) and propose a preamble optimization method for the frequency division multiplexing (FDM)structured preamble. Specifically, we formulate an optimization problem to determine the frequency division mu...

In this paper, a generalization of the Misspecified Cramér-Rao Bound (MCRB) and of the Constrained MCRB (CMCRB) to complex parameter vectors is presented. Our derivation aims at providing lower bounds on the Mean Square Error (MSE) for both circular and non-circular, MS-unbiased, mismatched estimators. A simple toy example is also presented to clarify the theoretical findings.

The topology optimization design of structures with anisotropic constrained damping layers (ACDL) is investigated in present paper. The evolutionary structural optimization (ESO) method is employed to find the optimal layout of ACDL with aim to maximum the modal damping loss factor of the sandwich structure. Modal strain energy (MSE) method is used to calculate the damping loss factor of whole ...

This paper is concerned with linearly constrained minimum variance (LCMV) beamforming. Partially adaptive LCMV beamformers are designed by determining a transformation which maps the fully adaptive weight space into a lower dimension partially adaptive weight space, usually so that some set of performance measures is optimised. One common method is to utilise the eigenvectors associated with th...

For global motion estimation in model-based coding, this paper proposes a constrained spatio-temporal gradient method using contour information. To overcome the local minimum problem in motion tracking of the conventional spatio-temporal gradient method, the translational matching position detected based on 2D contour matching and the rotational motion model are introduced as constraints. Simul...

The goal of this contribution is to characterize the best achievable mean-squared error (MSE) in estimating a sparse deterministic parameter from measurements corrupted by Gaussian noise. To this end, an appropriate definition of bias in the sparse setting is developed, and the constrained Cramér–Rao bound (CRB) is obtained. This bound is shown to equal the CRB of an estimator with knowledge of...