Now showing items 41-46 of 46
Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters
This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an Lp error criteria. The algorithm is an extension of Burrus' iterative reweighted least-squares (IRLS) ...
Generalized likelihood ratio detection for fMRI using complex data
The majority of fMRI studies obtain functional information using statistical tests based on the magnitude image reconstructions. Recently, a complex correlation (CC) test was proposed based on teh complex image data in ...
Wavelet-Domain Regularized Deconvolution for Ill-Conditioned Systems
We propose a hybrid approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to conventional wavelet-based deconvolution approaches, ...
Shift-Invariant Denoising using Wavelet-Domain Hidden Markov Trees
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients ...
Interpolation and Denoising of Nonuniformly Sampled Data using Wavelet-domain Processing
In this paper, we link concepts from nonuniform sampling, smoothness function spaces, interpolation, and denoising to derive a suite of multiscale, maximum-smoothness interpolation algorithms. We formulate the interpolation ...
Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging
Many important problems in engineering and science are well-modeled by Poisson processes. In many applications it is of great interest to accurately estimate the intensities underlying observed Poisson data. In particular, ...