Search Results - "Kovvali, Narayan"

An adaptive learning damage estimation method for structural health monitoring by Chakraborty, Debejyo, Kovvali, Narayan, Papandreou-Suppappola, Antonia, Chattopadhyay, Aditi

“…Structural health monitoring is an important problem of interest in many civil infrastructure and aerospace applications. In the last few decades, many…”
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Analysis of wideband forward looking synthetic aperture radar for sensing land mines by Kovvali, Narayan, Carin, Lawrence

“…Signal processing algorithms are considered for the analysis of wideband, forward looking synthetic aperture radar data and for sensing metal and plastic land…”
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A novel probabilistic approach for damage localization and prognosis including temperature compensation by Neerukatti, Rajesh Kumar, Hensberry, Kevin, Kovvali, Narayan, Chattopadhyay, Aditi

“…The development of a reliable structural damage prognostics framework, which can accurately predict the fatigue life of critical metallic components subjected…”
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Electrocardiogram Signal Modeling With Adaptive Parameter Estimation Using Sequential Bayesian Methods by Edla, Shwetha, Kovvali, Narayan, Papandreou-Suppappola, Antonia

“…The automatic classification of electrocardiogram (ECG) signals is of great clinical significance in eliminating the strenuous process of manually annotating…”
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Generalized normal window for digital signal processing by Chakraborty, Debejyo, Kovvali, Narayan

“…The bandwidth and smoothness of windows play an important role in digital signal processing. In applications such as manufacturing process and quality…”
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Damage Classification Structural Health Monitoring in Bolted Structures Using Time-frequency Techniques by Chakraborty, Debejyo, Kovvali, Narayan, Jun Wei, Papandreou-Suppappola, Antonia, Cochran, Douglas, Chattopadhyay, Aditi

“…The analysis, detection, and classification of damage in complex bolted structures is an important component of structural health monitoring. In this article,…”
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Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation by Lin, Wenbin, Kovvali, Narayan, Carin, Lawrence

“…We solve Schrödinger's equation for semiconductor nanodevices by applying prolate spheroidal wave functions of order zero as basis functions in the…”
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On the Use of Hidden Markov Modeling and Time-frequency Features for Damage Classification in Composite Structures by Wenfan Zhou, Kovvali, Narayan, Reynolds, Whitney, Papandreou-Suppappola, Antonia, Chattopadhyay, Aditi, Cochran, Douglas

“…A novel approach based on hidden Markov models (HMMs) is proposed for damage classification in composite structures. Time-frequency damage features are first…”
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Waveform selection for range and Doppler estimation via Barankin bound signal-to-noise ratio threshold by Kota, John, Kovvali, Narayan, Bliss, Daniel W., Papandreou-Suppappola, Antonia

“…In this paper, we consider the tracking of a radar target with unknown range and range rate at low signal-to-noise ratio (SNR). For this nonlinear estimation…”
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Multi-source Neural Activity Estimation and Sensor Scheduling: Algorithms and Hardware Implementation by Miao, Lifeng, Michael, Stefanos, Kovvali, Narayan, Chakrabarti, Chaitali, Papandreou-Suppappola, Antonia

“…Electroencephalography (EEG) and magnetoencephalography (MEG) measurements are used to localize neural activity by solving the electromagnetic inverse problem…”
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Workshop on transitioning structural health monitoring technology to military platforms by Seaver, Mark, Chattopadhyay, Aditi, Papandreou-Suppapola, Antonia, Kim, Seung B, Kovvali, Narayan, Farrar, Charles R, Triplett, Matt H, Derriso, Mark M

“…Interest in structural health monitoring/management is attracting lots of attention across a spectrum that ranges from sensor developers to end users. The US…”
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Workshop on transitioning structural health monitoring technology to military platforms: Structural Health Monitoring by SEAVER, Mark, CHATTOPADHYAY, Aditi, PAPANDREOU-SUPPAPOLA, Antonia, KIM, Seung B, KOVVALI, Narayan, FARRAR, Charles R, TRIPLETT, Matt H, DERRISO, Mark M

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Adaptive learning of immunosignaturing features for multi-disease pathologies by Malin, Anna, Kovvali, Narayan, Papandreou-Suppappola, Antonia, O'Donnell, Brian, Johnston, Stephen, Stafford, Phillip

“…Previously, adaptive learning algorithms have been used with immunosignaturing in order to identify disease states in patients. However, in these algorithms…”
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Volumetric fast multipole method for modeling Schrödinger’s equation by Zhao, Zhiqin, Kovvali, Narayan, Lin, Wenbin, Ahn, Chang-Hoi, Couchman, Luise, Carin, Lawrence

“…A volume integral equation method is presented for solving Schrödinger’s equation for three-dimensional quantum structures. The method is applicable to…”
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A measure of difference between discrete sample sets by Chakraborty, D., Kovvali, N.

“…The estimation of statistical distance between populations is a task of importance for many applications. Conventional methods often rely on the use of a…”
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Damage Classification Structural Health Monitoring in Bolted Structures Using Time-frequency Techniques: Special issue on Information Management in Structural Health Monitoring by CHAKRABORTY, Debejyo, KOVVALI, Narayan, JUN WEI, PAPANDREOU-SUPPAPPOLA, Antonia, COCHRAN, Douglas, CHATTOPADHYAY, Aditi

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On the Use of Hidden Markov Modeling and Time-frequency Features for Damage Classification in Composite Structures: Special issue on Information Management in Structural Health Monitoring by WENFAN ZHOU, KOVVALI, Narayan, REYNOLDS, Whitney, PAPANDREOU-SUPPAPPOLA, Antonia, CHATTOPADHYAY, Aditi, COCHRAN, Douglas

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Pseudospectral method based on prolate spheroidal wave functions for frequency-domain electromagnetic simulations by Kovvali, N., Lin, W., Carin, L.

“…We apply prolate spheroidal wave functions of order zero as basis functions in the pseudospectral method for frequency-domain electromagnetic simulation…”
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Direct algorithm for computation of derivatives of the Daubechies basis functions by Lin, Wenbin, Kovvali, Narayan, Carin, Lawrence

“…We extend the direct algorithm for computing the derivatives of the compactly supported Daubechies N-vanishing-moment basis functions. The method yields exact…”
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Electrocardiogram signal modeling using interacting multiple models by Edla, S., Kovvali, N., Papandreou-Suppappola, A.

“…The automatic classification of different heart diseases for monitoring cardiac health through the use of dynamic modeling of electrocardiogram (ECG) signals…”
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