Results 31 to 40 of about 177,717 (302)
Quantitative Evaluation for Magnetoelectric Sensor Systems in Biomagnetic Diagnostics
Sensors, 2022 Dedicated research is currently being conducted on novel thin film magnetoelectric (ME) sensor concepts for medical applications. These concepts enable a contactless magnetic signal acquisition in the presence of large interference fields such as the ...
Eric Elzenheimer +9 more
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Parametric dictionary learning for topological signal representation
, 2023 The aim of this paper is to introduce a novel dictionary learning algorithm for sparse representation of signals defined over regular cell complexes. Leveraging tools from Hodge theory, we inject the underlying topology in the dictionary structure by ...
Di Lorenzo, Paolo +2 more
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Algebraic Signal Processing Theory
CoRR, 2006 This paper presents an algebraic theory of linear signal processing. At the core of algebraic signal processing is the concept of a linear signal model defined as a triple (A, M, phi), where familiar concepts like the filter space and the signal space are cast as an algebra A and a module M, respectively, and phi generalizes the concept of the z ...
Markus Püschel, José M. F. Moura
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Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising
EURASIP Journal on Advances in Signal Processing, 2019 Segmentation and denoising of signals often rely on the polynomial model which assumes that every segment is a polynomial of a certain degree and that the segments are modeled independently of each other.
Michaela Novosadová +2 more
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Automatic Localization of an Ultrasound Probe with the Help of Magnetic Sensors
Current Directions in Biomedical Engineering, 2022 Ultrasound measurements are a widely used instrument in clinical practice. For later traceability of the images, the position (and orientation) of the ultrasound probe must be recorded during the measurement. Until now this has to be done manually by the
Bald Christin +2 more
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The Roles of Majorization and Generalized Triangular Decomposition in Communication and Signal Processing [PDF]
, 2011 Signal processing is an art that deals with the representation, transformation, and manipulation of the signals and the information they contain based on their specific features.
Weng, Ching-Chih
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Nature Communications, 2020 Nonlinear effects have been studied in optical fiber communications channels under various specified parameter regimes. Here, the authors develop an approximate model via perturbation that is more accurate for the highly nonlinear regime.
Vinícius Oliari +2 more
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MV-GPRNet: Multi-View Subsurface Defect Detection Network for Airport Runway Inspection Based on GPR
Remote Sensing, 2022 The detection and restoration of subsurface defects are essential for ensuring the structural reliability of airport runways. Subsurface inspections can be performed with the aid of a robot equipped with a Ground Penetrating Radar (GPR).
Nansha Li +5 more
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Adaptive digital signal processing Java teaching tool
, 2001 This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is on of the most important areas of signal processsing, and provides the core algorithmic means to ...
Harteneck, M., Stewart, R.W.
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Test-Time Adaptation for Speech Enhancement via Domain Invariant Embedding Transformation
IEEE Open Journal of Signal ProcessingDeep learning-based speech enhancement models achieve remarkable performance when test distributions match training conditions, but often degrade when deployed in unpredictable real-world environments with domain shifts.
Tobias Raichle, Niels Edinger, Bin Yang
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