Data-Adaptive Single-Pole Filtering of Magnitude Spectra for Robust Keyword Spotting
Sign Up to like & getrecommendations! Published in 2022 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-021-01923-2
Abstract: This paper proposes a simple and effective data-adaptive smoothing approach to suppress the pitch and environment-induced mismatches in keyword spotting (KWS) systems. In the proposed method, the magnitude spectra are smoothed by processing through a… read more here.
Keywords: single pole; pitch; magnitude; magnitude spectra ... See more keywords
Data-adaptive harmonic spectra and multilayer Stuart-Landau models.
Sign Up to like & getrecommendations! Published in 2017 at "Chaos"
DOI: 10.1063/1.4989400
Abstract: Harmonic decompositions of multivariate time series are considered for which we adopt an integral operator approach with periodic semigroup kernels. Spectral decomposition theorems are derived that cover the important cases of two-time statistics drawn from… read more here.
Keywords: data adaptive; time; stuart landau; multilayer ... See more keywords
Disturbance-observer-based sampled-data adaptive output feedback control for a class of uncertain nonlinear systems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2019.1626930
Abstract: ABSTRACT In this paper, a sampled-data adaptive output feedback controller is proposed for a class of uncertain nonlinear systems with unmeasured states, unknown dynamics and unknown time-varying external disturbances. To approximate uncertain nonlinear functions, radial… read more here.
Keywords: output feedback; uncertain nonlinear; sampled data; data adaptive ... See more keywords
Spatiotemporal Data-Adaptive Clustering Algorithm: An Intelligent Computational Technique for City Big Data
Sign Up to like & getrecommendations! Published in 2021 at "Annals of the American Association of Geographers"
DOI: 10.1080/24694452.2021.1935207
Abstract: The emerging paradigm of the modern city demands big data analytics in urban studies. Data mining techniques for big data have the potential to ascertain strategic insights for current and future c... read more here.
Keywords: big data; city; clustering algorithm; spatiotemporal data ... See more keywords
Understanding Prediabetes in a Medicare Advantage Population Using Data Adaptive Techniques.
Sign Up to like & getrecommendations! Published in 2018 at "Population health management"
DOI: 10.1089/pop.2017.0165
Abstract: The objective was to identify individuals with undiagnosed prediabetes from administrative data using adaptive techniques. The data source was a national Medicare Advantage Prescription Drug (MAPD) plan administrative data set. A retrospective, cross-sectional study developed… read more here.
Keywords: logistic regression; data adaptive; adaptive techniques; metabolic syndrome ... See more keywords
Detecting hidden batch factors through data-adaptive adjustment for biological effects
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx635
Abstract: Motivation Batch effects are one of the major source of technical variations that affect the measurements in high-throughput studies such as RNA sequencing. It has been well established that batch effects can be caused by… read more here.
Keywords: hidden batch; batch factors; data adaptive; detecting hidden ... See more keywords
Ecological Big Data Adaptive Compression Method Combining 1D Convolutional Neural Network and Switching Idea
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2969216
Abstract: To address large data transmission requirements and high transmission power consumptions characterizing micro-environment monitoring systems that are commonly used in forest health and safety applications, we propose an ecological big data adaptive switching compression method… read more here.
Keywords: compression; method; ecological big; big data ... See more keywords
Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2795594
Abstract: The deluge of networked data motivates the development of algorithms for computation- and communication-efficient information processing. In this context, three data-adaptive censoring strategies are introduced to considerably reduce the computation and communication overhead of decentralized… read more here.
Keywords: decentralized rls; data adaptive; adaptive censoring; computation communication ... See more keywords
Data-Adaptive 2-D Tracking Doppler for High-Resolution Spectral Estimation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2019.2937281
Abstract: Spectral broadening in pulsed-wave Doppler caused by the transit-time effect deteriorates the frequency resolution and may cause overestimation of maximum velocities in high-velocity blood flow regions and for large beam-to-flow angles. Data-adaptive spectral estimators have… read more here.
Keywords: resolution; time; spectral estimation; doppler ... See more keywords
Geometric seismic attribute estimation using data-adaptive windows
Sign Up to like & getrecommendations! Published in 2019 at "Interpretation"
DOI: 10.1190/int-2018-0114.1
Abstract: Geometric seismic attributes such as coherence are routinely used for highlighting geologic features such as faults and channels. Traditionally, we use a single user-defined analysis window of fixed size to calculate attributes for the entire… read more here.
Keywords: estimation using; attribute estimation; using data; geometric seismic ... See more keywords
An Efficient Approach of Data Adaptive Polarization Filter to Extract Teleseismic Phases from the Ocean-Bottom Seismograms
Sign Up to like & getrecommendations! Published in 2020 at "Seismological Research Letters"
DOI: 10.1785/0220200034
Abstract: The microseism is the strongest component of background seismic noise that masks seismic signals recorded by ocean-bottom seismographs (OBSs). Such undesired noise hampers the identification of critical seismic phases and sometimes even the entire waveform.… read more here.
Keywords: polarization filter; adaptive polarization; ocean bottom; polarization ... See more keywords