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Identification of Time-Varying Processes
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TLDR
Time-varying process identification (TVPI) techniques facilitate adaptive noise reduction, echo cancellation, and predictive coding of signals in mobile communications systems.Abstract:
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Time-varying process identification (TVPI) is the latest chapter in the evolution of adaptive signal processing. In mobile communications systems, TVPI techniques facilitate adaptive noise reduction, echo cancellation, and predictive coding of signals. It also has applications in adaptive controlread more
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Time-variant channel estimation using discrete prolate spheroidal sequences
TL;DR: In this article, a low-complexity channel estimator for a multiuser multicarrier code division multiple access (MC-CDMA) downlink in a time-variant frequency-selective channel is proposed and analyzed.
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Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series
Giovanni Sparacino,Francesca Zanderigo,S. Corazza,Alberto Maran,Andrea Facchinetti,Claudio Cobelli +5 more
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Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison
TL;DR: A critical survey and comparison ofparametric time-domain methods for non-stationary random vibration modelling and analysis based upon a single vibration signal realization confirms the advantages and high performance characteristics of parametric methods.
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Parametric identification of a time-varying structure based on vector vibration response measurements ☆
TL;DR: In this article, a functional series vector time-dependent autoregressive moving average (FS-VTARMA) method is introduced and employed for the identification of a "bridge-like" laboratory structure consisting of a beam and a moving mass.
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Iterative joint time-variant channel estimation and multi-user detection for MC-CDMA
TL;DR: The consistent performance of the iterative receiver using the Slepian basis expansion is validated by simulations for a wide range of velocities and an iterative linear MMSE estimation algorithm for the basis expansion coefficients in a multi-user system is presented.