Search Results - "Lee, T.C.M."

Spectral Density Estimation Using Sharpened Periodograms by Fang Yao, Lee, T.C.M.

“…This correspondence introduces the use of sharpened periodograms for spectral density estimation. It is shown analytically that spectrum estimates obtained…”
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Pattern generation using likelihood inference for cellular automata by Craiu, R.V., Lee, T.C.M.

“…Cellular automata are discrete dynamical systems which evolve on a discrete grid. Recent studies have shown that cellular automata with relatively simple rules…”
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Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion by Hsin-Cheng Huang, Lee, T.C.M.

“…Due to its effectiveness for removing heavy-tail noise and preserving abrupt structures hidden in noisy data, median filtering has long been a popular tool for…”
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Penalized spline models for functional principal component analysis by Yao, Fang, Lee, Thomas C. M.

“…We propose an iterative estimation procedure for performing functional principal component analysis. The procedure aims at functional or longitudinal data…”
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Break Detection for a Class of Nonlinear Time Series Models by Davis, Richard A., Lee, Thomas C. M., Rodriguez-Yam, Gabriel A.

“…  This article considers the problem of detecting break points for a nonstationary time series. Specifically, the time series is assumed to follow a…”
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Nonparametric Cepstrum Estimation via Optimal Risk Smoothing by Lai, R.C.S., Lee, T.C.M., Wong, R.K.W., Fang Yao

“…This paper proposes a new cepstrum estimation procedure that is capable of producing smoother and improved cepstrum estimates without the use of any parametric…”
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Nonparametric spectral density estimation with missing observations by Lee, T.C.M., Zhengyuan Zhu

“…Self-consistency is a fundamental principle in statistics for retaining maximum amount of information in the data. In this paper this principle is applied to…”
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A multi-resolution census algorithm for calculating vortex statistics in turbulent flows by Whitcher, Brandon, Lee, Thomas C. M., Weiss, Jeffrey B., Hoar, Timothy J., Nychka, Douglas W.

“…The fundamental equations that model turbulent flow do not provide much insight into the size and shape of observed turbulent structures. We investigate the…”
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Segmenting images corrupted by correlated noise by Lee, T.C.M.

“…Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of nonoverlapping homogeneous regions. The…”
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A self-consistent wavelet method for denoising images with missing pixels by Lee, T.C.M., Xiao-Li Meng

“…In this work, we consider the problem of wavelet image denoising when some of the pixel values are unobserved. Our approach is to treat those unobserved pixels…”
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stochastic tessellation for modelling and simulating colour aluminium grain images by LEE, T.C.M

“…The work described in this article is motivated by the need for modelling and simulating some colour aluminium grain images. One possible approach for…”
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Oh a K-Segments Algorithm for Computing Principal Curves by Lee, T.C.M., Haonan Wang

“…An effective algorithm, termed the k-segments algorithm, was proposed by J.J. Verbeek et al., (2002) for computing principal curves. To apply this algorithm,…”
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Segmenting images corrupted by correlated noise by Lee, T.C.M.

“…Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of non-overlapping homogeneous regions. This…”
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Curvilinear Feature Extraction for Noisy Point Pattern Images by Haonan Wang, Lee, T.C.M.

“…A frequently encountered task in many imaging problems is the detection of curvilinear features hidden in noisy spatial point patterns. This paper investigates…”
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Multipath Model Selection for UWB Channels by Wong, T.F., Lee, T.C.M.

“…In this paper, we develop an algorithm to extract the parameters of a multipath model of an UWB channel from measurement-simulated data. To this end, we cast…”
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Structural breaks estimation for non-stationary time series signals by Davis, R.A., Lee, T.C.M., Rodriguez-Yam, G.A.

“…In this work we consider the problem of modeling a class of non-stationary time series signals using piecewise autoregressive (AR) processes. The number and…”
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Evaluating a post-graduate diploma in primary health care education (DPHCE): Issues and interpretations by Paulsen, T.E, Lee, T.C.M, Tollman, S.M, McKenzie, A

“…An evaluation of the Diploma in Primary Health Care Education (DPHCE), a course offered in the University of the Witwatersrand, Johannesburg, was carried out…”
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