Now showing items 1-12 of 12

• #### A hierarchical wavelet-based framework for pattern analysis and synthesis ﻿

(2000)
Despite their success in other areas of statistical signal processing, current wavelet-based image models are inadequate for modeling patterns in images, due to the presence of unknown transformations inherent in most ...
• #### Active learning and adaptive sampling for non-parametric inference ﻿

(2008)
This thesis presents a general discussion of active learning and adaptive sampling. In many practical scenarios it is possible to use information gleaned from previous observations to focus the sampling process, in the ...
• #### Analyzing statistical dependencies in neural populations ﻿

(2005)
Neurobiologists recently developed tools to record from large populations of neurons, and early results suggest that neurons interact to encode information jointly. However, traditional statistical analysis techniques are ...
• #### Empirical detection for spread spectrum and code division multiple access (CDMA) communications ﻿

(1998)
In this thesis, the method of "classification with empirically observed statistics"--also known as empirical classification, empirical detection, universal classification, and type-based detection--is configured and applied ...
• #### Importance sampling for analysis of direct detection optical communication systems ﻿

(1991)
Analytical solutions of the performance of optical communication systems are difficult to obtain and often, Monte Carlo simulations are used to achieve realistic estimates of the performance of such systems. However, for ...
• #### Intersymbol interference equalization by universal likelihood ﻿

(1997)
Codelength based inference is used to decode binary symbols distorted by an inter-symbol interference (ISI) channel with additive noise. The transmitted signals are antipodal waveforms constructed from $\pm$1 valued signature ...
• #### MAP Detection with Soft Information in an Estimate and Forward Relay Network ﻿

(2011)
One proven solution for improving the reliability of a wireless channel is to use relays. We analyze the three-node relay network, focusing on the estimate-and-forward (EF) relay protocol, where the relay node estimates ...
• #### Nonparametric prediction of mixing time series ﻿

(1992)
Prediction of future time-series values, based on a finite set of available observations, is a prevalent problem in many branches of science and engineering. By making the assumption that the time series is either Gaussian ...
• #### Performance evaluation and optimization of stochastic systems via importance sampling ﻿

(1990)
Analytic solutions to determining the optimal set of system parameters and the associated performance of random input systems are typically intractable. One often only has access to the system's output under a variety of ...
• #### Random observations on random observations: Sparse signal acquisition and processing ﻿

(2010)
In recent years, signal processing has come under mounting pressure to accommodate the increasingly high-dimensional raw data generated by modern sensing systems. Despite extraordinary advances in computational power, ...
• #### Transform-domain modeling of nonGaussian and 1/f processes ﻿

(1999)
Classical Gaussian, Markov, and Poisson models have played a vital role in the remarkable success of statistical signal processing. However, a host of signals---images, network traffic, financial times series, seismic ...
• #### Wavelet-based deconvolution for ill-conditioned systems ﻿

(1999)
This thesis proposes a new approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to other wavelet-based deconvolution approaches, ...