نتایج جستجو برای: mean squares error

تعداد نتایج: 833068  

Journal: :EURASIP J. Wireless Comm. and Networking 2005
Wei Zhang Claude D'Amours Abbas Yongaçoglu

The optimum and many suboptimum iterative soft-input soft-output (SISO) multiuser detectors require a priori information about the multiuser system, such as the users’ transmitted signature waveforms, relative delays, as well as the channel impulse response. In this paper, we employ adaptive algorithms in the SISO multiuser detector in order to avoid the need for this a priori information. Firs...

Journal: :CoRR 2015
Rodrigo C. de Lamare

This paper proposes distributed adaptive algorithms based on the conjugate gradient (CG) method and the diffusion strategy for parameter estimation over sensor networks. We present sparsity-aware conventional and modified distributed CG algorithms using l1 and log-sum penalty functions. The proposed sparsity-aware diffusion distributed CG algorithms have an improved performance in terms of mean...

2002
D Markel A H Gray Y T Chan J M M Lavoie J B Plant

A simple model characterizing the convergence properties of an adaptive digital lattice filter using gradient algorithms has been reported [ 11. This model is extended to the least mean square (LMS) lattice joint process estimator [SI, and to the least squares (LS) lattice and “fast” Kalman algorithms [9] -[16]. The models in each case are compared with computer simulation. The single-stage LMS...

2017
Sungchan Oh Chang-Uk Hyun Hyeong-Dong Park

Quantitative analysis of CaO in limestone mining is mandatory, not only for ore exploration, but also for grade control. A partial least squares regression (PLSR) CaO estimation technique was developed for limestone mining. The proposed near-infrared spectroscopy (NIR)-based method uses reflectance spectra of the rock sample surface in the visible to short-wave infrared wavelength regions (350–...

2009
Jiankan Yang

AbslractThis paper studies the effect of array calibration errors on the performance of various direction 6nding @F) based signal copy algorithms. Unlike blind copy me€hods, this class of algorithms requires an estimate of the directions of arrival (DOA’s) of the signals in order to compute the copy weight vectors. Under the assumption that the observation time is sufficiently long, the followi...

2011
Pearl Kurian

The aim is to develop vibration control of flexible spacecraft by adaptive controller. A case study will be carried out which simulates planar motion of flexible spacecraft as a coupled hybrid dynamics of rigid body motion and the flexible arm vibration. The notch filter and adaptive vibration controller, which updates filter and controller parameters continuously from the sensor measurement, a...

2012
Alenka Možir Matija Strlič Tanja Trafela Irena Kralj Cigić Jana Kolar Viorica Deselnicu Gerrit de Bruin

Historic parchment is an extremely complex material, not only due to the various methods of production used and various past environmental histories of objects, but also due to its inhomogeneous structure. Many traditional methods of characterisation are empirical, but useful since they have gained recognition by the end-users. In this paper, we investigated the shrinkage temperature of collage...

2016
Kui Yang Li Yan Guoman Huang Chu Chen Zhengpeng Wu

Synthetic Aperture Radar Interferometry (InSAR) techniques are increasingly applied for monitoring land subsidence. The advantages of InSAR include high accuracy and the ability to cover large areas; nevertheless, research validating the use of InSAR on building deformation is limited. In this paper, we test the monitoring capability of the InSAR in experiments using two landmark buildings; the...

2009
A. SWINDLEHURST

This paper studies the effect of array manifold errors on ihe performance of various signal copy algorithms. under t h e assumption that the observation time is suficiently long, the following algorithms are atudied: classical beamforming, least squares, total least squares, linearly constrained minimum variance beamforming, and structured stochastic estimation. Expressions JOT the mean-square ...

1999
J. KALICKÁ

A nonlinear regression model with correlated, normally distributed errors with non zero means is investigated. The limit properties of bias and the mean square error matrix of the approximate least squares estimator of regression parameters are studied.

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