Browsing George R. Brown School of Engineering by Title
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Competing mechanisms and scaling laws for carbon nanotube scission by ultrasonication
(20120717)Dispersion of carbon nanotubes (CNTs) into liquids typically requires ultrasonication to exfoliate individuals CNTs from bundles. Experiments show that CNT length drops with sonication time (or energy) as a power law ... 
Competitive Parallel Disk Prefetching and Buffer Management1
(2000)We provide a competitive analysis framework for online prefetching and buffer management algorithms in parallel IrO systems, using a readonce model of block references. This has widespread applicability to key IrObound ... 
Compiler Driven Architecture Design Space Exploration for DSP Workloads: A Study in Software Programmability Versus Hardware Acceleration
(20091101)Wireless communications and video kernels contain vast instruction and data level parallelism that can far outstrip programmable high performance DSPs. Hardware acceleration of these bottlenecks is commonly done at the ... 
Complex Wavelet Transforms with Allpass Filters
(20030820)Complex discrete wavelet transforms have significant advantages over real wavelet transforms for certain signal processing problems. Two approaches to the implementation of complex wavelet transforms have been proposed ... 
Complexed Multifunctional Metallic and Chalcogenide Nanostructures as Theranostic Agents
(20131203)Nanostructures have attracted substantial attention due to their distinctive properties and various applications. Nanostructures consisting of multiple morphologies and/or materials have recently become the focus of intense ... 
Complexity Analysis of MMSE Detector Architectures for MIMO OFDM Systems
(20051101)In this paper, a field programmable gate array (FPGA) implementation of a linear minimum mean square error (LMMSE) detector is considered for MIMOOFDM systems. Two square root free algorithms based on QR decomposition ... 
Componentbased adaptation for mobile computing
(2002)Componentbased adaptation is a novel approach for adapting applications to the limited availability of resources such as bandwidth and power in mobile environments. Componentbased adaptation works by calling on the ... 
Compound Poisson Cascades
(20020501)Multiplicative processes and multifractals proved useful in various applications ranging from hydrodynamic turbulence to computer network traffic, to name but two. Placing multifractal analysis in the more general framework ... 
A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements
(2015)Use of probabilistic techniques has been demonstrated to learn air data parameters from surface pressure measurements. Integration of numerical models with wind tunnel data and sequential experiment design of wind tunnel ... 
Compressed Sensing for Imaging Applications
(2008)Compressed sensing is a new sampling theory which allows reconstructing signals using subNyquist measurements. This can significantly reduce the computation required for both image and video whether during acquisition ... 
Compressing Piecewise Smooth Multidimensional Functions Using Surflets: RateDistortion Analysis
(20040301)Discontinuities in data often represent the key information of interest. Efficient representations for such discontinuities are important for many signal processing applications, including compression, but standard Fourier ... 
Compression Color Space Estimation of JPEG Images using Lattice Basis Reduction
(20011001)Given a color image that was previously JPEGcompressed in some hidden color space, we aim to estimate this unknown compression color space from the image. This knowledge is potentially useful for color image enhancement ... 
Compression of Higher Dimensional Functions Containing Smooth Discontinuities
(20040301)Discontinuities in data often represent the key information of interest. Efficient representations for such discontinuities are important for many signal processing applications, including compression, but standard Fourier ... 
Compressive sensing for signal ensembles
(2010)Compressive sensing (CS) is a new approach to simultaneous sensing and compression that enables a potentially large reduction in the sampling and computation costs for acquisition of signals having a sparse or compressible ... 
Compressive Sensing in Positron Emission Tomography (PET) Imaging
(20150416)Positron emission tomography (PET) is a nuclear medicine functional imaging modality, applicable to several clinical problems, but especially in detecting the metabolic activity (as in cancer). PET scanners use multiple ... 
Computation of a Unimodular Matrix
(19791201)An algorithm for computing a unimodular matrix U(λ) satisfying the equation [A(λ) B(λ)] U(λ) = [1 0] is presented where A(λ) and B(λ) are relatively left prime polynomial matrices. ... 
Computational approaches to species phylogeny inference and gene tree reconciliation
(2013)An intricate relationship exists between gene trees and species phylogenies, due to evolutionary processes that act on the genes within and across the branches of the species phylogeny. From an analytical perspective, gene ... 
Computational modeling of the arterial wall based on layerspecific histological data
(2016)Arterial walls typically have a heterogeneous structure with three different layers (intima, media, and adventitia). Each layer can be modeled as a fiberreinforced material with two families of relatively stiff collagenous ... 
Computationally Efficient Estimators for the Bayes Risk
(19780520)A computationally efficient estimator for the Bayes risk is one which achieves a desired accuracy with a minimum of computation. In many problems, for example speech recognition, point evaluations of the class conditional ...