Yayıncı "Elsevier Science BV" Makale Koleksiyonu için listeleme
Toplam kayıt 17, listelenen: 1-17
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Application of Linear Regression Classification to low-dimensional datasets
(Elsevier Science BV, 2014)The Traditional Linear Regression Classification (LRC) method fails when the number of data in the training set is greater than their dimensions. In this work, we proposed a new implementation of LRC to overcome this problem ... -
Case studies on the use of neural networks in eutrophication modeling
(Elsevier Science BV, 2000)Artificial neural networks are becoming more and more common to be used in development of prediction models for complex systems as the theory behind them develops and the processing power of computers increase. A three ... -
Comparison of PI controllers designed for the delay model of TCP/AQM networks
(Elsevier Science BV, 2013)One of the major problems of communication networks is congestion. In order to address this problem in TCP/IP networks, Active Queue Management (AQM) scheme is recommended. AQM aims to minimize the congestion by regulating ... -
Extension of the Capon's spectral estimator to time-frequency analysis and to the analysis of polynomial-phase signals
(Elsevier Science BV, 2003)Incorporation of the linear time-varying filter and, its Zadeh's generalized transfer function concepts to the derivation of the Capon's minimum-variance spectral estimator leads to a new, bilinear, cross-term suppressed ... -
Feature extraction, selection and classification code for power line scene recognition
(Elsevier Science BV, 2018)Detection and avoiding of power lines and cables is a critical issue in aircraft flight safety. Despite various improvements in image analysis literature, most of the safety issues depend on visual capabilities of pilots. ... -
Frequency domain analysis of model order reduction techniques
(Elsevier Science BV, 2006)In this Study, some popular model order reduction and superelement techniques are studied in frequency and time domains. Frequency domain identification (FDI) methods are also applied to semidiscrete finite element equations ... -
Frequency domain subspace-based identification of discrete-time singular power spectra
(Elsevier Science BV, 2012)In this paper, we propose a subspace algorithm for the identification of linear-time-invariant discrete-time systems with more outputs than inputs from measured power spectrum data. The proposed identification algorithm ... -
Membership set identification with periodic inputs and orthonormal regressors
(Elsevier Science BV, 2006)In this paper, we study the central and the projection algorithms in membership-set estimation with periodic input signals and orthonormal basis functions for the special case that the number of the estimated parameters ... -
A novel wind speed modeling approach using atmospheric pressure observations and hidden Markov models
(Elsevier Science BV, 2010)Modeling the wind speed data has important implications in wind studies, providing valuable insight and parametric quantities for further engineering analysis. The classical modeling approach is to fit the probability ... -
On the existence of a disk algebra basis
(Elsevier Science BV, 2000)In this paper, approximation of discrete-time systems by fixed pole orthonormal basis functions is investigated. It is shown that if accumulation points of basis poles do not cover the entire unit circle, then the Fourier ... -
Paley inequalities for discrete-time rational orthonormal bases
(Elsevier Science BV, 2000)In this paper, we derive some inequalities which provide information about the Fourier coefficients of linear-time-invariant discrete-time systems with respect to the bounded rational orthonormal basis functions studied ... -
Segmentation based coding of human face images for retrieval
(Elsevier Science BV, 2004)A coding method for face images by segmenting face regions Such as eyes, mouth, etc. is introduced. Each region is removed from the face image, leaving a smoothly interpolated background which is suitable for efficient ... -
Spectral estimation in frequency-domain by subspace techniques
(Elsevier Science BV, 2014)In this paper, frequency-domain subspace-based algorithms are proposed to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices from samples of the Welch cross-PSD ... -
A study on performance of dynamic file replication algorithms for real-time file access in Data Grids
(Elsevier Science BV, 2009)Real-time Grid applications are emerging in many disciplines of science and engineering. In order to run these applications while meeting the associated real-time constraints with them, the Grid infrastructure should be ... -
A subspace based progressive coding method for speech compression
(Elsevier Science BV, 2017)In this study, two novel methods, which are based on Karhunen Loeve Transform (KLT) and Independent Component Analysis (ICA), are proposed for coding of speech signals. Instead of immediately dealing with eigenvalue ... -
Subspace-based spectrum estimation in frequency-domain by regularized nuclear norm minimization
(Elsevier Science BV, 2014)Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time-invariant systems from noisy spectrum samples. In these methods, a critical step is splitting of two invariant ... -
Two-dimensional subspace classifiers for face recognition
(Elsevier Science BV, 2009)The subspace classifiers are pattern classification methods where linear subspaces are used to represent classes. In order to use the classical subspace classifiers for face recognition tasks, two-dimensional (2D) image ...