Browsing George R. Brown School of Engineering by Title
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Optimal Distribution of Medical Backpacks and Health Surveillance Assistants in Malawi
(201303)Despite recent progress, Malawi continues to perform poorly on key health indicators such as child mortality and life expectancy. These problems are exacerbated by a severe lack of access to health care. Health Surveillance ... 
OPTIMAL ESTIMATION FOR BANDLIMITED SIGNALS
(1979)The problem of estimation for bandlimited signals is investigated. The desired estimate is based on a finite number of time samples taken from a measurement interval of length T(,M). With no additional information, the ... 
Optimal Kernels for Nonstationary Spectral Estimation
(19950220)Current theories of a timevarying spectrum of a nonstationary process all involve, either by definition or by difficulties in estimation, an assumption that the signal statistics vary slowly over time. This restrictive ... 
Optimal Matrix Multiplication on Fault Tolerant VLSI Arrays
(198902)A faulttolerant array for matrix multiplication that explicitly incorporates mechanisms for easy testability and reconfigurability is described. All signals in the array travel only a constant distance (independent of ... 
Optimal parallel 2D FIR digital filter with separable terms
(19970501)This paper completely solves the optimal Weighted Least Mean Square (WLMS) design problem using sums of separable terms. For any fixed number of separable terms (less than or equal to the rank of the unconstrained solution), ... 
Optimal Phase Kernels for TimeFrequency Analysis
(19960501)We consider the design of kernels for timefrequency distributions through the phase, rather than amplitude, response. While phase kernels do not attenuate troublesome crosscomponents, they can translate them in the ... 
Optimal Phase Kernels for TimeFrequency Analysis
(19960101)We consider the design of kernels for timefrequency distributions through the phase, rather than amplitude, response. While phase kernels do not attenuate troublesome crosscomponents, they can translate them in the ... 
OPTIMAL RECOVERY OF SIGNALS FROM LINEAR MEASUREMENTS AND PRIOR KNOWLEDGE (EXTRAPOLATION, DETERMINISTIC, BANDLIMITED, SPECTRAL, ESTIMATION)
(1985)The problem of bandlimited extrapolation is studied in a general framework of estimation of a signal in an ellipsoidal signal class from the value of a linear transformation. The dissertation deals with finitelength ... 
Optimal Reduced Rank TimeFrequency/Time Scale Quadratic Detectors
(19960120)Optimal detectors based on timefrequency/timescale representations (TFRs/TSRs) admit a representation in terms of a bank of spectrograms/scalograms that yields a large class of detectors. These range from the conventional ... 
Optimal Reorientation of Spacecraft Using Only Control Moment Gyroscopes
(200705)Spacecraft reorientation can require propellant even when using gyroscopes since these have momentum saturation limits at which control is lost until thrusters are fired to desaturate them. To eliminate this need and thereby ... 
Optimal Routing and Power Allocation for Wireless Networks with Imperfect FullDuplex Nodes
(20130724)We study a wireless fullduplex network with imperfect interference cancellation and solve the routing and power allocation problem in this network. We use a model that focuses on the effects of fullduplex by including ... 
Optimal Sampling Strategies for Multiscale Models with Application to Network Traffic Estimation
(20031001)This paper considers the problem of determining which set of 2<sup><i>p</i></sup> leaf nodes on a binary multiscale tree model of depth N (<i>N</i>><i>p</i>) gives the best linear minimum meansquared estimator of the ... 
Optimal Sampling Strategies for Multiscale Stochastic Processes
(20041201)This paper studies multiscale stochastic processes which are random processes organized on the nodes of a tree. The random variables at different levels on the tree represent time series of samples of a stochastic process ... 
Optimal Sampling Strategies for Multiscale Stochastic Processes
(20060115)In this paper, we determine which nonrandom sampling of fixed size gives the best linear predictor of the sum of a finite spatial population. We employ different multiscale superpopulation models and use the minimum ... 
Optimal Shapes for Kernel Density Estimations: An Historical Footnote
(199109)In the early years of kernel density estimation, Watson and Leadbetter (1963) attempted to optimize kernel shape for fixed sample sizes by minimizing the expected L² distance between the kernel density estimate and the ... 
Optimal Signal Sets for NonGaussian Detectors
(199505)Identifying a maximallyseparated set of signals is important in the design of modems. The notion of optimality is dependent on the model chosen to describe noise in the measurements; while some analytic results can be ... 
Optimal Signaling Strategies for Symmetric and Asymmetric BitRate Communication Services in the Presence of Crosstalk
(19990115)We have invented a new modem technology for transmitting data on conventional telephone lines (twisted pairs) at high speeds. This discovery is timely, as new standards are being developed for this Digital Subscriber Line ...