Results 21 to 30 of about 3,545,130 (223)

A validated finite element model for room acoustic treatments with edge absorbers

Acta Acustica, 2023
Porous acoustic absorbers have excellent properties in the low-frequency range when positioned in room edges, therefore they are a common method for reducing low-frequency reverberation.
Kraxberger Florian, Kurz Eric, Weselak Werner, Kubin Gernot, Kaltenbacher Manfred, Schoder Stefan   +5 more
doaj   +1 more source

Graph Signal Processing for Geometric Data and Beyond: Theory and Applications [PDF]

IEEE transactions on multimedia, 2020
Geometric data acquired from real-world scenes, e.g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including immersive telepresence, autonomous driving, surveillance, etc.
Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, A. Vetro   +5 more
semanticscholar   +1 more source

Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients

Journal of NeuroEngineering and Rehabilitation, 2021
Background Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson’s disease.
Robbin Romijnders, Elke Warmerdam, Clint Hansen, Julius Welzel, Gerhard Schmidt, Walter Maetzler   +5 more
doaj   +1 more source

Processing Chain for Localization of Magnetoelectric Sensors in Real Time

Sensors, 2021
The knowledge of the exact position and orientation of a sensor with respect to a source (distribution) is essential for the correct solution of inverse problems.
Christin Bald, Gerhard Schmidt
doaj   +1 more source

Multiple Observations for Secret-Key Binding with SRAM PUFs

Entropy, 2021
We present a new Multiple-Observations (MO) helper data scheme for secret-key binding to an SRAM-PUF. This MO scheme binds a single key to multiple enrollment observations of the SRAM-PUF.
Lieneke Kusters, Frans M. J. Willems
doaj   +1 more source

Extending Fibre Nonlinear Interference Power Modelling to Account for General Dual-Polarisation 4D Modulation Formats

Entropy, 2020
In optical communications, four-dimensional (4D) modulation formats encode information onto the quadrature components of two arbitrary orthogonal states of polarisation of the optical field.
Gabriele Liga, Astrid Barreiro, Hami Rabbani, Alex Alvarado   +3 more
doaj   +1 more source

Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases

Frontiers in Neuroinformatics, 2017
The rise of neuroimaging in research and clinical practice, together with the development of new machine learning techniques has strongly encouraged the Computer Aided Diagnosis (CAD) of different diseases and disorders.
Francisco J. Martinez-Murcia, Juan M. Górriz, Javier Ramírez, Ignacio A. Illán, Fermín Segovia, Diego Castillo-Barnes, Diego Salas-Gonzalez   +6 more
doaj   +1 more source

Genomics and proteomics: a signal processor's tour [PDF]

, 2004
The theory and methods of signal processing are becoming increasingly important in molecular biology. Digital filtering techniques, transform domain methods, and Markov models have played important roles in gene identification, biological sequence ...
Vaidyanathan, P. P.
core   +2 more sources

Achievable Information Rates for Probabilistic Amplitude Shaping: An Alternative Approach via Random Sign-Coding Arguments

Entropy, 2020
Probabilistic amplitude shaping (PAS) is a coded modulation strategy in which constellation shaping and channel coding are combined. PAS has attracted considerable attention in both wireless and optical communications. Achievable information rates (AIRs)
Yunus Can Gültekin, Alex Alvarado, Frans M. J. Willems   +2 more
doaj   +1 more source

Efficient Image Processing Via Compressive Sensing Of Integrate-And-Fire Neuronal Network Dynamics [PDF]

, 2016
Integrate-and-fire (I&F) neuronal networks are ubiquitous in diverse image processing applications, including image segmentation and visual perception. While conventional I&F network image processing requires the number of nodes composing the network to ...
Barranca, Victor J., Cai, D., Kovačič, G., Zhou, D.   +3 more
core   +2 more sources