Güncel Gönderiler: Fakülteler
Toplam kayıt 10075, listelenen: 2461-2480
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Power spectrum estimation in innovation models
(Academic Press LTD- Elsevier Science LTD, 2019)In this paper, a regularized nuclear norm minimization-based subspace identification algorithm is proposed to estimate discrete-time power spectra of multi-input/multi-out systems in innovation models from output-only ... -
Subspace-based spectrum estimation in innovation models by mixed norm minimization
(Pergamon-Elsevier Science LTD, 2019)In this paper, identification of discrete-time power spectra of multi-input/multi-output (MIMO) systems in innovation models from output-only time-domain measurements is considered.A hybrid identification algorithm unifying ... -
Influence of Tire Damping on Actively Controlled Quarter-Car Suspensions
(Asme, 2011)In this note, a comprehensive analysis of tire damping effect on H-2-optimal, multi-objective, and robust control of quarter-car suspensions excited by random road disturbances is provided. First, H-2-optimal and convex ... -
Regularized Nuclear Norm Spectrum Estimation in Frequency Domain
(IEEE, 2013)Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time invariant systems from spectrum samples. A critical step in these methods is the splitting of causal and ... -
Subspace-based rational interpolation of analytic functions from real or imaginary parts of frequency-response data
(IEEE, 2009)In this paper, construction of analytic functions from evaluations of real or imaginary parts on finite subsets of the unit circle is studied. The points in the subsets are not necessarily uniformly spaced as in the most ... -
Identification of acoustic spectra for fault detection in induction motors
(IEEE, 2013)In this paper, we study fault detection problem for induction motors by using a recently developed cross-power spectral density estimation algorithm from sound measurements. In a test rig, from multiple experiments the ... -
Identification of power spectra by reweighted and regularized nuclear norm minimization
(IEEE, 2015)In this paper, we study model order choice in subspace identification algorithms using uniformly spaced spectrum measurements. In these algorithms, model order is determined by singular-value decomposition of a structured ... -
Subspace-Based Spectrum Estimation By Nuclear Norm Minimization
(IEEE, 2013)Subspace-based methods have been effectively used to estimate multi-input/multi-output, linear-time-invariant systems from noisy spectrum samples. In these methods, a critical step is splitting of two invariant subspaces ... -
Stochastic optimal control of truck cabin with active suspension
(Inderscience Enterprises LTD, 2014)In this paper, a three-degree-of-freedom cabin model for a commercial truck is derived to study ride motions of the cabin under random road excitations. First, an active suspension system is designed using the linear-Nqu ... -
A spectral estimation case study in frequency-domain by subspace methods
(IEEE, 2013)In this paper, the properties of two recently proposed frequency-domain subspace-based algorithms to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices of ... -
Short-term wind speed forecasting by spectral analysis from long-term observations with missing values
(Elsevier Sci LTD, 2017)In this paper, we propose a novel wind speed forecasting framework. The performance of the proposed framework is assessed on the wind speed measurements collected from the five meteorological stations in the Marmara region ... -
Subspace-Based Identification of Acoustic Noise Spectra in Induction Motors
(IEEE-Inst Electrical Electronics Engineers Inc, 2015)In this paper, we study the identification of acoustic noise spectra in induction motors by using a recently developed frequency-domain cross-power spectrum estimation algorithm. This algorithm is a noniterative high-resolution ... -
Time-domain identification of rational spectra with missing data
(IEEE, 2016)In this paper, we study modelling of rational spectra from time-domain measurements when the measurement information is not complete. We propose a three-stage estimation scheme. In the first-stage, rational spectra are ... -
Wind Speed Forecasting with Missing Values
(IEEE, 2017)In this study, a new short term wind speed forecasting approach, which uses long term past observations, is proposed. The performance assessment of the wind speed forecasting framework is carried out using real data from ... -
Short-Term Wind Speed Forecasting by Spectral Analysis
(IEEE, 2018)In this paper, we apply a wind speed forecasting framework developed earlier by the authors to the two-dimensional wind velocity measurements collected from a meteorological station in the Marmara region of Turkey over a ... -
Content-Based Microscopic Image Retrieval System for Multi-Image Queries
(IEEE-Inst Electrical Electronics Engineers Inc, 2012)In this paper, we describe the design and development of a multitiered content-based image retrieval (CBIR) system for microscopic images utilizing a reference database that contains images of more than one disease. The ... -
A Generalized Laplacian of Gaussian Filter for Blob Detection and Its Applications
(IEEE-Inst Electrical Electronics Engineers Inc, 2013)In this paper, we propose a generalized Laplacian of Gaussian (LoG) (gLoG) filter for detecting general elliptical blob structures in images. The gLoG filter can not only accurately locate the blob centers but also estimate ... -
Influence of tire damping on mixed H-2/H-infinity synthesis of half car active suspensions
(Academic Press LTD- Elsevier Science LTD, 2009)In this paper, multi-objective control of a half-car suspension system using linear matrix inequalities is studied. It is observed that when tire damping is precisely known, road-holding quality of the suspension system ... -
An Adaptive Algorithm for Detection of Multiple-Type, Positively Stained Nuclei in IHC images with minimal Prior Information: Application to OLIG2 Staining Gliomas
(Spie-Int Soc Optical Engineering, 2015)We propose a method to detect and segment the oligodendrocytes and gliomas in OLIG2 immunoperoxidase stained tissue sections. Segmentation of cell nuclei is essential for automatic, fast, accurate and consistent analysis ...
