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CreatorTitleDescriptionSubjectDate
1 Furse, Cynthia M.13 crazy, notorious things to do in an EM classThe average attention span of an adult human is 12-20 minutes. Our lectures are 50-80 minutes. Attention Span Math reminds us to take a break now and then, and to bring the class back to life by bringing some life to the class. Many students learn things better if they can see and touch them, so thi...Attention span; Fun2005-06
2 Mathews, V. JohnA baseband residual vector quantization algorithm for voiceband data signalsAbstract-In this paper, we present a new approach to the digitization and compression of a class of voiceband modem signals. Our approach, which we call baseband residual vector quantization (BRVQ), relies heavily upon the simple structure present in a modem signal. After the signal is converted to...1989
3 Mathews, V. John; Schlegel, ChristianA blind adaptive projection receiver for CDMA systemsAbstract - This paper presents a blind and adaptive CDMA receiver that does not require knowledge of the spreading codes associated with users other than the ones of interest. Receivers for synchronous as well as asynchronous transmission by multiple users with error control coding are develope...1998
4 Mathews, V. John; Schlegel, ChristianA blind projection receiver for coded CDMA systemsABSTRACT This paper presents a blind adaptive CDMA receiver that requires no knowledge of the spreading codes, the delays, and the energy of the received signals associated with the interfering users. Our receiver is based on linear interference cancellation and adaptive interference signal subspa...1999
5 Mathews, V. JohnA fast recursive least-squares adaptive nonlinear filterThis paper presents a fast, recursive least-squares (RLS) adaptive nonlinear filter. The nonlinearity in the system is modeled using the Hammerstein model, which consists of a memoryless polynomial nonlinearity followed by a finite impulse response linear system. The complexity of our method is abou...1988
6 Mathews, V. JohnA fast recursive least-squares second order volterra filterABSTRACT This paper presents a fast, recursive least-squares (RLS) adaptive nonlinear filter. The nonlinearity is modelled using a second order Volterra series expansion. The structure presented in the paper makes use of the ideas of fast RLS multichannel filters and has a computational complexity ...1988
7 Tasdizen, Tolga; Whitaker, Ross T.A geometric multigrid approach to solving the 2D inhomogeneous laplace equation with internal drichlet boundary conditionsThe inhomogeneous Laplace (Poisson) equation with internal Dirichlet boundary conditions has recently appeared in several applications to image processing and analysis. Although these approaches have demonstrated quality results, the computational burden of solution demands an efficient solver. Desi...2005
8 Stevens, KennethA mathematical approach to a low power FFT architectureArchitecture and circuit design are the two most effective means of reducing power in CMOS VLSI. Mathematical manipulations have been applied to create a power efficient architecture of an FFT. This architecture has been implemented in asynchronous circuit technology that achieves significant powe...1998
9 Mathews, V. John; Clark, Edward B.A mathematical basis for the application of the modified geometric method to maximum frequency estimationAbstract-The application of ultrasound in assessing the fetal cardiovascular system often requires the accurate estimation of maximum blood flow velocity waveforms using Doppler measurements. The modified geometric method estimates the maximum Doppler frequency as the frequency at which the vertica...2004
10 Mathews, V. JohnA new carrier frequency estimator for modem signalsABSTRACT A novel carrier frequency estimation scheme for a relatively broad class of voiceband data signals (modem signals) is presented in this paper. The class of signals being studied includes different types of phase-shift-keyed (PSK) and frequency-shift-keyed (FSK) signals. The frequency estim...1988
11 Mathews, V. JohnA new model of perceptual threshold functions for application in image compression systemsThis paper discusses the development of a perceptual threshold model for the human visual system. The perceptual threshold functions describe the levels of distortions present at each location in an image that human observers can not detect. Models of perceptual threshold functions are useful in ima...1995
12 Simpson, Jamesina J.A novel ELF radar for major oil depositsThis letter proposes a novel extremely low frequency (ELF) radar for major oil deposits. Using our recently developed whole-Earth electromagnetic wave propagation model based upon the finite-difference time-domain method, we have determined that detection of the radial (vertical) component of the sc...2006-01-01
13 Furse, Cynthia M.; Gandhi, Om P.A simple convolution procedure for calculating currents induced in the human body for exposure to electromagnetic pulsesAbstract-The finite-difference time-domain (FDTD) and frequency dependent finite difference time-domain (FD)2TD methods have been previously used to calculate internal electric (E) fields and induced currents for exposure of the anatomically based model of the human body to electromagnetic pulses (E...1994
14 Stevens, KennethA single chip low power asynchronous implementation of an FFT algorithm for space applicationsA fully asynchronous _x000C_fixed point FFT processor is introduced for low power space applications. The architecture is based on an algorithm developed by Suter and Stevens specifi_x000C_cally for a low power implementation. The novelty of this architecture lies in its high localization of compo...1998
15 Mathews, V. JohnA stability condition for certain bilinear systemsAbstract-This correspondence derives a simple sufficient condition for the output of a discrete-time, time-invariant bilinear system to be bounded whenever the input signal to the system is bounded by a finite constant.1994
16 Mathews, V. JohnA stability result for RLS adaptive bilinear filtersAbstract- This letter considers recursive least squares (RLS) adaptive nonlinear filtering using bilinear system models. It is shown that the extended RLS adaptive bilinear filter, as well as the equation-error RLS adaptive bilinear filter, are guaranteed to be stable in the sense that the time aver...1994
17 Mathews, V. JohnA stable adaptive Hammerstein filter employing partial orthogonalization of the input signalsAbstract-This paper presents an algorithm that adapts the parameters of a Hammerstein system model. Hammerstein systems are nonlinear systems that contain a static nonlinearity cascaded with a linear system. In this paper, the static nonlinearity is modeled using a polynomial system, and the linear ...2006
18 Mathews, V. John; Dubow, JoelA stable adaptive Hammerstein filter employing partial orthogonalization of the input signalsAbstract This paper presents an algorithm that adapts the parameters of a Hammerstein system model. Hammerstein systems are nonlinear systems that contain a static nonlinearity cascaded with a linear system. In this work, the static nonlinearity is modeled using a polynomial system and the linear f...2002
19 Myers, Chris J.A standard-cell self-timed multiplier for energy and area critical synchronous systemsThis paper describes the design of a standard-cell self-timed multiplier for use in energy and area critical synchronous systems. The area of this multiplier is bounded by N rather than N2 as seen in more traditional combinational parallel array designs, where N is the word size. Energy has a polyn...2001
20 Mathews, V. JohnA stochastic gradient adaptive filter with gradient adaptive step sizeAbstract-This paper presents an adaptive step-size gradient adaptive filter. The step size of the adaptive filter is changed according to a gradient descent algorithm designed to reduce the squared estimation error during each iteration. An approximate analysis of the performance of the adaptive fil...1993
21 Mathews, V. JohnA unified approach to nonparametric spectrum estimation algorithmsAbstract-Different approaches to spectrum estimation can be broadly classified as parametric and nonparametric methods. In the parametric techniques, an underlying model is assumed in the formulation of the spectrum estimation problem and one estimates the parameters of the model. For nonparametric...1987
22 Myers, Chris J.; Gopalakrishnan, GaneshAchieving fast and exact hazard-free logic minimization of extended burst-mode gC finite state machinesAbstract This paper presents a new approach to two-level hazard-free logic minimization in the context of extended burst-mode finite state machine synthesis targeting generalized C-elements (gC). No currently available minimizers for literal-exact two-level hazard-free logic minimization of extende...2000
23 Mathews, V. JohnAdaptive algorithms for identifying recursive nonlinear systemsABSTRACT This paper presents two fast least-squares lattice algorithms for adaptive non-linear filters equipped with system models involving nonlinear feedback. Such models can approximate a large class of non-linear systems adequately, and usually with considerable parsimony in the number of coeff...1991
24 Mathews, V. JohnAdaptive bilinear predictorsThis paper considers an extended recursive least squares (RLS) adaptive bilinear predictor. It is shown that the extended RLS adaptive bilinear predictor is guaranteed to be stable in the sense that the time average of the squared a-posteriori prediction error signal is bounded whenever the input...1994
25 Mathews, V. JohnAdaptive filters requiring zero multiplicationsThis paper introduces an adaptive filter structure that requires zero multiplications for its implementations. The primary input signals are quantized using DPCM and the DPCM outputs are processed by the adaptive filter. The sign algorithm. We show that if the parameters are chosen properly, hardwar...1987
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