Search Results - "Atlas, L.E."

Time-Frequency Coherent Modulation Filtering of Nonstationary Signals by Clark, P., Atlas, L.E.

“…Modulation filtering is a class of techniques for filtering slowly-varying modulation envelopes of frequency subbands of a signal, ideally without affecting…”
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Modulation-scale analysis for content identification by Sukittanon, S., Atlas, L.E., Pitton, J.W.

“…For nonstationary signal classification, e.g., speech or music, features are traditionally extracted from a time-shifted, yet short data window. For many…”
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Optimizing time-frequency kernels for classification by Gillespie, B.W., Atlas, L.E.

“…In many pattern recognition applications, features are traditionally extracted from standard time-frequency representations (TFRs). This assumes that the…”
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Strategies and Tactics in Multiscale Modeling of Cell-to-Organ Systems by Bassingthwaighte, J.B., Chizeck, H.J., Atlas, L.E.

“…Modeling is essential to integrating knowledge of human physiology. Comprehensive self-consistent descriptions expressed in quantitative mathematical form…”
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Electric load forecasting using an artificial neural network by Park, D.C., El-Sharkawi, M.A., Marks, R.J., Atlas, L.E., Damborg, M.J.

“…An artificial neural network (ANN) approach is presented for electric load forecasting. The ANN is used to learn the relationship among past, current and…”
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Some Properties of an Empirical Mode Type Signal Decomposition Algorithm by Hawley, S.D., Atlas, L.E., Chizeck, H.J.

“…The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it…”
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Recurrent neural networks and robust time series prediction by Connor, J.T., Martin, R.D., Atlas, L.E.

“…We propose a robust learning algorithm and apply it to recurrent neural networks. This algorithm is based on filtering outliers from the data and then…”
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Target talker enhancement in hearing devices by Schimmel, S.M., Atlas, L.E.

“…We describe a novel coherent modulation filtering technique for single channel target talker enhancement in the presence of interfering talkers. For this…”
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Self-organizing feature maps and hidden Markov models for machine-tool monitoring by Owsley, L.M.D., Atlas, L.E., Bernard, G.D.

“…Vibrations produced by the use of industrial machine tools can contain valuable information about the state of wear of tool cutting edges. However, extracting…”
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A non-uniform modulation transform for audio coding with increased time resolution by Thompson, J.K., Atlas, L.E.

“…Perceptual audio coders exploit two properties to achieve coding gain: perceptual irrelevancy and source redundancy. Recently, a two-dimensional modulation…”
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Scalable and progressive audio codec by Vinton, M.S., Atlas, L.E.

“…A source coding technique for variable, bandwidth-constrained channels such as the Internet must do two things: offer high quality at low data rates, and adapt…”
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Construction of positive time-frequency distributions by Loughlin, P.J., Pitton, J.W., Atlas, L.E.

“…A general method for constructing nonnegative definite, joint time-frequency distributions (TFDs) satisfying the marginals of time |s(t)|/sup 2/ and frequency…”
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Enhanced Modulation Spectrum Using Space-Time Averaging For In-Building Acoustic Signature Identification by Sukittanon, S., Atlas, L.E., Dame, S.G.

“…For most buildings, virtually all subsystems such as fans, generators, and motors generate acoustic energy. This acoustic energy can weakly penetrate walls and…”
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Frequency Reassignment for Coherent Modulation Filtering by Schimmel, S.M., Fitz, K.R., Atlas, L.E.

“…Modulation filtering is a technique for filtering slowly-varying envelopes of frequency subbands of a signal, without affecting the signal's phase and…”
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Some properties of an empirical mode type signal decomposition algorithm by Hawley, S.D., Atlas, L.E., Chizeck, H.J.

“…The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it…”
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Applications of time-frequency analysis to signals from manufacturing and machine monitoring sensors by Atlas, L.E., Bernard, G.D., Narayanan, S.B.

“…Manufacturing industries are now demanding substantial increases in flexibility, productivity and reliability from their process machines as well as increased…”
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Impulses and stochastic arithmetic for signal processing by Keane, J.F., Atlas, L.E.

“…Explores the use of Poisson point processes and stochastic arithmetic to perform signal processing, functions. Our work is inspired by the asynchrony and fault…”
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Non-stationary signal classification using joint frequency analysis by Sukittanon, S., Atlas, L.E., Pitton, J.W., McLaughlin, J.

“…Time-varying short-term spectral estimates have been successfully applied in many classification tasks. However, they are still insufficient for many…”
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Bilinear time-frequency representations: new insights and properties by Loughlin, P.J., Pitton, J.W., Atlas, L.E.

“…An analysis of the interference terms of Cohen-class bilinear time-frequency representations (TFR) of multicomponent signals is presented. Constraints for…”
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Improved modulation spectrum through multi-scale modulation frequency decomposition by Sukittanon, S., Atlas, L.E., Pitton, J.W., Filali, K.

“…The modulation spectrum is a promising method to incorporate dynamic information in pattern classification. It contains important cues about the nonstationary…”
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