Search Results - "Electrical Engineering with specialization in Signal Processing"

EVALLER: a web server for in silico assessment of potential protein allergenicity by Barrio, Alvaro Martinez, Soeria-Atmadja, Daniel, Nistér, Anders, Gustafsson, Mats G, Hammerling, Ulf, Bongcam-Rudloff, Erik

“…Bioinformatics testing approaches for protein allergenicity, involving amino acid sequence comparisons, have evolved appreciably over the last several years to…”
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Spike timing-based coding in neuromimetic tactile system enables dynamic object classification by Chen, Libo, Karilanova, Sanja, Chaki, Soumi, Wen, Chenyu, Wang, Lisha, Winblad, Bengt, Zhang, Shi-Li, Özçelikkale, Ayça, Zhang, Zhi-Bin

“…Rapid processing of tactile information is essential to human haptic exploration and dexterous object manipulation. Conventional electronic skins generate…”
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Maximum likelihood separation of anthropogenic and wind-generated underwater noise by Larsson Nordström, Robin, Lalander, Emilia, Skog, Isaac, Andersson, Mathias

“…A method is presented for simultaneous estimation of the probability distributions of both anthropogenic and wind-generated underwater noise power spectral…”
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Passivity-based control for multi-vehicle systems subject to string constraints by Knorn, Steffi, Donaire, Alejandro, Agüero, Juan C., Middleton, Richard H.

“…In this paper, we show how heterogeneous bidirectional vehicle strings can be modelled as port-Hamiltonian systems. Analysis of stability and string stability…”
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Channel Interpolation of Fading Channels and the Pilot Density Required for Predictor Antennas by Bjorsell, Joachim, Sternad, Mikael, Phan-Huy, Dinh-Thuy, Grieger, Michael

“…Predictor antennas (PAs) are a potential solution to severe channel aging that can occur at high vehicular velocities in non line-of-sight (NLOS) environments…”
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On Kalman filtering over fading wireless channels with controlled transmission powers by Quevedo, Daniel E., Ahlén, Anders, Leong, Alex S., Dey, Subhrakanti

“…We study stochastic stability of centralized Kalman filtering for linear time-varying systems equipped with wireless sensors. Transmission is over fading…”
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Enabling Multi-User M-MIMO for High-Mobility Users with Predictor Antennas: A Deep Analysis Based on Experimental NLOS Measurements by Bjorsell, Joachim, Sternad, Mikael, Phan-Huy, Dinh-Thuy

“…Predictor antenna channel measurements from a 64-antenna base station are used to investigate the effects of channel aging on the precoder design for…”
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A Nanoribbon-Based Ion-Gated Lateral Bipolar Amplifier for Ion Sensing by Xu, Zheqiang, Chen, Si, Hu, Qitao, Zhang, Shi-Li, Zhang, Zhen

“…Nanoscale sensors usually produce feeble signals susceptible to inevitable external interference. Several signal amplification solutions exist for mitigating…”
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A Framework for Predictor Antennas in Practice by Bjorsell, Joachim, Sternad, Mikael, Grieger, Michael

“…Channel predictions are important to achieve high spectral efficiency for high-mobility vehicles. Channel extrapolation, used by many prediction methods,…”
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Marginalized particle Gibbs for multiple state-space models coupled through shared parameters by Wigren, Anna, Lindsten, Fredrik

“…We consider Bayesian inference from multiple time series described by a common state-space model (SSM) structure, but where different subsets of parameters are…”
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Asymptotic Performance Analysis of Distributed Non-Bayesian Quickest Change Detection With Energy Harvesting Sensors by Biswas, Sinchan, Dey, Subhrakanti

“…This article focuses on the distributed non-Bayesian quickest change detection based on the cumulative sum (CUSUM) algorithm in an energy harvesting wireless…”
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Synthetic aperture focusing of ultrasonic data from multilayered media using an omega-K algorithm by Skjelvareid, M H, Olofsson, T, Birkelund, Y, Larsen, Y

“…The synthetic aperture focusing technique (SAFT) is used to create focused images from ultrasound scans. SAFT has traditionally been applied only for imaging…”
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Compressed Sensing With Prior Information: Information-Theoretic Limits and Practical Decoders by Scarlett, J., Evans, J. S., Dey, S.

“…This paper considers the problem of sparse signal recovery when the decoder has prior information on the sparsity pattern of the data. The data vector x =[ x 1…”
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Phase shift migration for imaging layered objects and objects immersed in water by Olofsson, T

“…This paper proposes the use of phase shift migration for ultrasonic imaging of layered objects and objects immersed in water. The method, which was developed…”
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Energy Efficient State Estimation With Wireless Sensors Through the Use of Predictive Power Control and Coding by Quevedo, Daniel E, Ahlén, Anders, Østergaard, Jan

“…We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and…”
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Maximum Likelihood Ensemble Filter State Estimation for Power Systems by Uzunoglu, Bahri, Ulker, Muhammed Akif

“…Maximum likelihood ensemble filter (MLEF) is an ensemble-based deterministic filtering method. It optimizes a nonlinear cost function through maximum…”
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Power Control and Coding Formulation for State Estimation With Wireless Sensors by Quevedo, Daniel E., Ostergaard, Jan, Ahlen, Anders

“…Technological advances made wireless sensors cheap and reliable enough to be brought into industrial use. A major challenge arises from the fact that wireless…”
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Graph-theoretic approaches and tools for quantitatively assessing curricula coherence by Varagnolo, Damiano, Knorn, Steffi, Staffas, Kjell, Fjällström, Eva, Wrigstad, Tobias

“…In this paper, we propose a method to analyse the coherence of existing curricula at higher education institution. We focus our attention to engineering…”
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Optimal energy allocation for Kalman filtering over packet dropping links with imperfect acknowledgements and energy harvesting constraints by Nourian, M, Leong, Alex S, Dey, Subhrakanti

“…This paper presents a design methodology for optimal transmission energy allocation at a sensor equipped with energy harvesting technology for remote state…”
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Quantized Filtering Schemes for Multi-Sensor Linear State Estimation: Stability and Performance Under High Rate Quantization by Leong, Alex S., Dey, Subhrakanti, Nair, Girish N.

“…In this paper we consider state estimation of a discrete time linear system using multiple sensors, where the sensors quantize their individual innovations,…”
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