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Two-Step Wavestrapping: Simulating Non-Stationary Acceleration Data in the Mobile Computing Context
(Georgia Institute of Technology, 2005-12-16)
Measurements of acceleration provide an important source of information in understanding and predicting the movements of mobile computer users. However, collecting acceleration data can require substantial time and resources ...
Bayesian False Discovery Rate Wavelet Shrinkage: Theory and Applications
(Georgia Institute of Technology, 2005)
Statistical inference in the wavelet domain remains vibrant area of contemporary statistical research because desirable properties of wavelet representations and the need of scientific community to process, explore, and ...
Larger Posterior Mode Wavelet Thresholding and Applications
(Georgia Institute of Technology, 2005-07-01)
This paper explores the thresholding rules induced by a variation of the Bayesian MAP principle. The MAP rules are Bayes actions that maximize the posterior. The proposed rule is thresholding and always picks the mode of ...
Uncertainty Analysis in Using Markov Chain Model to Predict Roof Life Cycle Performance
(Georgia Institute of Technology, 2005)
Making decisions on building maintenance policies is an important topic in facility management. To evaluate different maintenance policies and make rational selection, both performance and maintenance cost of building ...
Linear Feature Identification and Inference in Nano-Scale Images
(Georgia Institute of Technology, 2005)
In this paper a novel method for the analysis of straight line alignment of features in the images based on Hough and Wavelet transforms is proposed. The new method is designed to work specifically with nanoscale images, ...