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Papers by Clay Spence
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2003
The inclusion of fermions in lattice gauge theory presents us with the problems of species doubli... more The inclusion of fermions in lattice gauge theory presents us with the problems of species doubling and explicit chiral symmetry breaking. In this dissertation Thomas -Fermi approximations are derived for the effective action due to fermions and the chiral order parameter in the continuum. They are then written in terms of lattice gauge field variables, and used in Monte Carlo
We have shown previously that non-stationarysignals recorded in a static multi-path environment c... more We have shown previously that non-stationarysignals recorded in a static multi-path environment can oftenbe recovered by simultaneously decorrelating varyingsecond order statistics. As typical sources are often moving,however, the multi-path channel is not static. We presenthere an on-line gradient algorithm with adaptive step sizein the frequency domain based on second derivatives, whichwe refer to as multiple adaptive decorrelation (MAD). Wecompared the
CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of sourc... more CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of source separation use the assumption of statistical independence. To capture statistical independence higher order statistics are required. In this chapter we will demonstrate how higher ...
In independent component analysis (ICA) an instantaneous mix of sources can be recovered using ma... more In independent component analysis (ICA) an instantaneous mix of sources can be recovered using maximum Likelihood (ML). In Convolutive blind source separation (BSS) the mixture arises as a combination of differently convolved source signals due to time delays and a reverberating acoustic environment. Instead of modeling a particular time instant now a time window of the mixed signals has to be modeled. This allows to combine ICA with traditional ML signal modeling techniques. Here we use an auto-regressive (AR) model of the sources leading to a generalization of contextual ICA [18] to the convolutive case. This may improve source separation avoiding the typical whitening of the sources, and may allow us to incorporation simultaneous enhancing of the signal based on the AR models. 1 Introduction Independent component analysis (ICA) aims to find statistical independent signals in an instantaneous linear mix. This concept was first introduced and formalized by Comon [7]. In recent year...
We have shown previously that non-stationarysignals recorded in a static multi-path environment c... more We have shown previously that non-stationarysignals recorded in a static multi-path environment can oftenbe recovered by simultaneously decorrelating varyingsecond order statistics. As typical sources are often moving,however, the multi-path channel is not static. We presenthere an on-line gradient algorithm with adaptive step sizein the frequency domain based on second derivatives, whichwe refer to as multiple adaptive decorrelation (MAD). Wecompared the
2007 IEEE International Conference on Image Processing, 2007
Principles and Practice, 2001
CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of sourc... more CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of source separation use the assumption of statistical independence. To capture statistical independence higher order statistics are required. In this chapter we will demonstrate how higher ...
IEEE Transactions on Speech and Audio Processing, 2000
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2003
The inclusion of fermions in lattice gauge theory presents us with the problems of species doubli... more The inclusion of fermions in lattice gauge theory presents us with the problems of species doubling and explicit chiral symmetry breaking. In this dissertation Thomas -Fermi approximations are derived for the effective action due to fermions and the chiral order parameter in the continuum. They are then written in terms of lattice gauge field variables, and used in Monte Carlo
We have shown previously that non-stationarysignals recorded in a static multi-path environment c... more We have shown previously that non-stationarysignals recorded in a static multi-path environment can oftenbe recovered by simultaneously decorrelating varyingsecond order statistics. As typical sources are often moving,however, the multi-path channel is not static. We presenthere an on-line gradient algorithm with adaptive step sizein the frequency domain based on second derivatives, whichwe refer to as multiple adaptive decorrelation (MAD). Wecompared the
CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of sourc... more CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of source separation use the assumption of statistical independence. To capture statistical independence higher order statistics are required. In this chapter we will demonstrate how higher ...
In independent component analysis (ICA) an instantaneous mix of sources can be recovered using ma... more In independent component analysis (ICA) an instantaneous mix of sources can be recovered using maximum Likelihood (ML). In Convolutive blind source separation (BSS) the mixture arises as a combination of differently convolved source signals due to time delays and a reverberating acoustic environment. Instead of modeling a particular time instant now a time window of the mixed signals has to be modeled. This allows to combine ICA with traditional ML signal modeling techniques. Here we use an auto-regressive (AR) model of the sources leading to a generalization of contextual ICA [18] to the convolutive case. This may improve source separation avoiding the typical whitening of the sources, and may allow us to incorporation simultaneous enhancing of the signal based on the AR models. 1 Introduction Independent component analysis (ICA) aims to find statistical independent signals in an instantaneous linear mix. This concept was first introduced and formalized by Comon [7]. In recent year...
We have shown previously that non-stationarysignals recorded in a static multi-path environment c... more We have shown previously that non-stationarysignals recorded in a static multi-path environment can oftenbe recovered by simultaneously decorrelating varyingsecond order statistics. As typical sources are often moving,however, the multi-path channel is not static. We presenthere an on-line gradient algorithm with adaptive step sizein the frequency domain based on second derivatives, whichwe refer to as multiple adaptive decorrelation (MAD). Wecompared the
2007 IEEE International Conference on Image Processing, 2007
Principles and Practice, 2001
CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of sourc... more CiteSeerX - Document Details (Isaac Councill, Lee Giles): Most approaches to the problem of source separation use the assumption of statistical independence. To capture statistical independence higher order statistics are required. In this chapter we will demonstrate how higher ...
IEEE Transactions on Speech and Audio Processing, 2000