The large time-frequency analysis toolbox 2.0

Z Průša, PL Søndergaard, N Holighaus… - Sound, Music, and …, 2014 - Springer
Abstract The Large Time Frequency Analysis Toolbox (LTFAT) is a modern Octave/Matlab
toolbox for time-frequency analysis, synthesis, coefficient manipulation and visualization. It's …

Design and implementation of an ultra-low resource electrodermal activity sensor for wearable applications

GC Pope, RJ Halter - Sensors, 2019 - mdpi.com
While modern low-power microcontrollers are a cornerstone of wearable physiological
sensors, their limited on-chip storage typically makes peripheral storage devices a …

Grid-based decimation for wavelet transforms with stably invertible implementation

N Holighaus, G Koliander, C Hollomey… - … on Audio, Speech …, 2023 - ieeexplore.ieee.org
The constant center frequency to bandwidth ratio (Q-factor) of wavelet transforms provides a
very natural representation for audio data. However, invertible wavelet transforms have …

[PDF][PDF] LTFAT: A Matlab/Octave toolbox for sound processing

Z Pruša, P Søndergaard, P Balazs… - Proc. 10th International …, 2013 - ltfat.org
To visualize and manipulate musical signals time-frequency transforms have been used
extensively. The Large Time Frequency Analysis Toolbox is an Octave/Matlab toolbox for …

A faceted prior for scalable wideband imaging: Application to radio astronomy

PA Thouvenin, A Abdulaziz, M Jiang… - … Advances in Multi …, 2019 - researchportal.hw.ac.uk
Wideband radio-interferometric (RI) imaging consists in estimating images of the sky across
a whole frequency band from incomplete Fourier data. Powerful prior information is needed …

[PDF][PDF] LTFAT: The Large Time-Frequency Analysis Toolbox v. 1.4

PL Søndergaard, Z Pruˇsa, N Holighaus, P Balazs - ltfat.org
LTFAT: The Large Time-Frequency Analysis Toolbox v. 1.4 Page 1 LTFAT: The Large Time-Frequency
Analysis Toolbox v. 1.4 Peter L. Søndergaard, Zdenek Pruˇsa, Nicki Holighaus and Peter …

A faceted prior for scalable wideband computational imaging

PA Thouvenin, A Abdulaziz, M Jiang… - Signal Processing …, 2019 - researchportal.hw.ac.uk
Hyperspectral images exhibit strong spectral correlations, which can be exploited via a low-
rankness and joint-sparsity prior when reconstructed from incomplete and noisy …

[PDF][PDF] 7 th International Symposium on NDT in Aerospace–Mo. 3. A. 8

M KHARRAT, E RAMASSO, DD DOAN, V PLACET… - researchgate.net
Due to the difficulties encountered to predict the long-term behaviour of composite structures
in operating conditions, a real-time monitoring of their integrity is required in order to …