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Found 8 papers, 2 papers with code
Misspecification of Multiple Scattering in Scalar Wave Fields and its Impact in Ultrasound Tomography
In this work, we investigate the localization of targets in the presence of multiple scattering.
Improving the Spatial Correlation Characteristics of Antenna Arrays using Linear Operators and Wide-band Modelling
By means of synthetically simulated arrays, we show that when operating with a bandwidth of 1 GHz, the use of a derived linear operator applied to the array output results in the spatial correlation characteristics approaching those of the array operating at a bandwidth of 12 GHz.
A Framework for Developing and Evaluating Algorithms for Estimating Multipath Propagation Parameters from Channel Sounder Measurements
A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by channel sounders at millimeter-wave frequencies.
Estimating Multi-Modal Dense Multipath Components using Auto-Encoders
This much more challenging multi-modal setting bears two important questions: How many modes are there, and how can we estimate those?
Grid-free Harmonic Retrieval and Model Order Selection using Deep Convolutional Neural Networks
We also compare the performance to other harmonic retrieval methods and integrate it into an existing maximum likelihood estimator for efficient initialization of a gradient-based iteration.
Frequency Sub-Sampling of Ultrasound Non-Destructive Measurements: Acquisition, Reconstruction and Performance
In the literature, the remedies to this are twofold: First, the amount of measurement data can be reduced using state of the art sub-Nyquist sampling approaches to measure Fourier coefficients instead of time domain samples.
Monitoring the spread of COVID-19 by estimating reproduction numbers over time
To control the current outbreak of the Coronavirus Disease 2019, constant monitoring of the epidemic is required since, as of today, no vaccines or antiviral drugs against it are known.
Populations and Evolution Applications Methodology 92C60 (Primary) 62P10, 62F12 (Secondary) J.3; G.3
Fast Linear Transformations in Python
Fastmat is a framework for handling large composed or structured matrices by offering an easy-to-use abstraction model.
Mathematical Software
