UScholar Works
 
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CreatorTitleDescriptionSubjectDate
326Mathews, 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
327Nichols, ShaunAdaptive complexity and phenomenal consciousnessFocuses on epiphenomenalism problems in arguments about evolutionary function of phenomenal consciousness. Implications of cognitive neuropsychology evidence for the structure of phenomenal consciousness; Distinction of different kinds of epiphenominalist arguments; Provision of a developmental basi...Cognitive neuroscience; Cognizant; Exceptional2001-09-11
328Shapiro, Michael D.Adaptive evolution of pelvic reduction in sticklebacks by recurrent deletion of a Pitx1 enhancerThe molecular mechanisms underlying major phenotypic changes that have evolved repeatedly in nature are generally unknown. Pelvic loss in different natural populations of threespine stickleback fish has occurred by regulatory mutations deleting a tissue-specific enhancer of the Pituitary homeobox t...Adaptive evolution; Pelvic reduction; Pituitary homeobox transcription factor 1; Pitx1; Gasterosteus aculeatus2010-01-14
329Mathews, 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
330Mathews, V. John; Nilsson, MichaelAdaptive gain processing to improve feedback cancellation in digital hearing aidsAdaptive filters are commonly used to cancel acoustic feedback in hearing aids. The sound quality of hearing aids deteriorates as the hearing aid gain is increased. This paper presents a method to alter the gain function in digital hearing aids to provide additional amplification and better output ...2008
331Mathews, V. JohnAdaptive gain processing with offending frequency suppression for digital hearing aidsDigital hearing aids identify acoustic feedback signals and cancel them continuously in a closed loop with an adaptive filter. This scheme facilitates larger hearing aid gain and improves the output sound quality of hearing aids. However, the output sound quality deteriorates as the hearing aid gai...2012
332Berzins, MartinAdaptive high-order discontinuous galerkin solution of elastohydrodynamic lubrication point contact problemsThis paper describes an adaptive implementation of a high order Discontinuous Galerkin (DG) method for the solution of elastohydrodynamic lubrication (EHL) point contact problems. These problems arise when modelling the thin lubricating film between contacts which are under sufficiently high pressur...2012-01-01
333Cohen, ElaineAdaptive isocurves based rendering for freeform surfacesFreeform surface rendering is traditionally performed by approximating the surface with polygons and then rendering the polygons. This approach is extremely common because of the complexity in accurately rendering the surfaces directly. Recently, several papers presented methods to render surfaces ...Freeform surface rendering; Isocurves1992
334Cohen, ElaineAdaptive isocurves based rendering for freeform surfacesFreeform surface rendering is traditionally performed by approximating the surface with polygons and then rendering the polygons This approach is extremely common because of the complexity in accurately rendering the surfaces directly Recently?? several papers presented methods to render surface...Freeform surface rendering; Isocurves1992
335Mathews, V. JohnAdaptive lattice bilinear filtersAbstract-This paper presents two fast least squares lattice algorithms for adaptive nonlinear filters equipped with bilinear system models. Bilinear models are attractive for adaptive filtering applications because they can approximate a large class of nonlinear systems adequately, and usually with...1993
336Mathews, V. JohnAdaptive nonlinear digital filter with sequential regression algorithmThe purpose of this paper is to introduce an adaptive nonlinear digital filtering algorithm which use the sequential regression (SER) method to update the second order Volterra filter coefficients in a recursive way. Conventionally, the SER method has been used to invert large matrices which result ...1984
337Mathews, V. JohnAdaptive parallel-cascade truncated volterra filtersAbstract-This paper studies adaptive truncated Volterra filters employing parallel-cascade structures. Parallel-cascade realizations implement higher order Volterra systems a s a parallel connection of multiplicative combinations of lower order truncated Volterra systems. A normalized LMS adaptive f...1998
338Normann, Richard A.Adaptive parameter selection for asynchronous intrafascicular multi-electrode stimulationThis paper describes an adaptive algorithm for selecting perelectrode stimulus intensities and inter-electrode stimulation phasing to achieve desired isometric plantar-flexion forces via asynchronous, intrafascicular multi-electrode stimulation. The algorithm employed a linear model of force product...2012-01-01
339Mathews, V. JohnAdaptive phase transform processors for time delay estimationThis paper introduces two recursive realizations of the phase transform (PHAT) processor for time-delay estimation (TDE), using a simple one-pole low-pass filter and the least-mean-square (LMS) adaptive filter, respectively. It is shown that these adaptive methods are capable of tracking time-varyin...1993
340Mathews, V. JohnAdaptive polynomial filtersWhile linear filter are useful in a large number of applications and relatively simple from conceptual and implementational view points. there are many practical situations that require nonlinear processing of the signals involved. This article explains adaptive nonlinear filters equipped with polyn...1991
341Mathews, V. JohnAdaptive realization of a maximum likelihood time delay estimatorABSTRACT This paper presents an adaptive maximum likelihood method for estimating the time difference of arrival of a source signal at two spatially separate sensors. It is well-known that the maximum likelihood technique achieves the Cramer-Rao lower bound for time delay estimation error for ce...1996
342Mathews, V. JohnAdaptive realizations of the maximum likelihood processor for time delay estimationAbstract-This correspondence introduces an adaptive realization of the maximum likelihood (ML) processor for time delay estimation (TDE). Also presented is a modified ML processor, which requires less computations but still performs better than the other when implemented in an adaptive way. Widrow'...1984
343Mathews, V. JohnAdaptive realizations of the phase transform for time delay estimationABSTRACT This paper introduces two recursive realizations of the Phase Transforn (PHAT) processor for tine delay estimation (TOE), using a simple one-pole lowpass filter and the least mean square (LMS) adaptive filter, respectively. It is shown that these adaptive methods are very effective in redu...1984
344Pascucci, ValerioAdaptive sampling with topological scores2012
345Mathews, V. JohnAdaptive unsharp masking for contrast enhancementABSTRACT A new scheme o,f unsharp masking for image contrast enhancement is presented in this paper. An adaptive algorithm is introduced so that a sharpening action is performed only in locations where the image exhibits significant dynamics. Hence, the amplification of noise in smooth areas i...1997
346Mathews, V. JohnAdaptive volterra filters using orthogonal structuresAbstract-This paper presents an adaptive Volterra filter that empolys a recently developed orthogonalization procedure of Gaussian signals for Volterra system identification. The algorithm is capable of handling arbitrary orders of nonlinearity P as well as arbitrary lengths of memory N for the syst...1996
347Mathews, V. JohnAdaptive volterra filters using orthogonal structuresAbstract- This paper presents an adaptive Volterra filter that employs a recently developed orthogonalization procedure of Gaussian signals for Volterra system identification. The algorithm is capable of handling arbitrary orders of nonlinearity P as well as arbitrary lengths of memory N for the sys...1995
348Mathews, V. JohnAdaptive, quadratic preprocessing of document images for binarizationAbstract-This paper presents an adaptive algorithm for preprocessing document images prior to binarization in character recognition problems. Our method is similar in its approach to the blind adaptive equalization of binary communication channels. The adaptive filter utilizes a quadratic system mod...1998
349Andreou, ChrisoulaAddiction, procrastination, and failure points in decision-making systemsRedish et al. suggest that their failures-in-decision-making framework for understanding addiction can also contribute to improving our understanding of a variety of psychiatric disorders. In the spirit of reflecting on the significance and scope of their research, I briefly develop the idea that t...Addiction; Failure in decision-making systems2008-08
350Amato, SaraAdding finding aids with CONTENTdm 5's built-in supportLightning round presentation for the Western CONTENTdm Users Group Annual Conference, June 2-4, 2010. Gould Auditorium, J. Willard Marriott Library, Salt Lake City, Utah.CONTENTdm EAD2010-06-03
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