Publication
Four-Dimensional Wavelet Compression of Arbitrarily Sized Echocardiographic Data
Publications associées (54)
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Olga Fink, Gaëtan Michel Frusque
Capturing high-frequency data concerning the condition of complex systems, e.g. by acoustic monitoring, has become increasingly prevalent. Such high-frequency signals typically contain time dependencies ranging over different time scales and different type ...
2022Spectral Measurement and Classification in the Era of Big Data
Marilyne Andersen, Forrest Simon Webler
The measurement and classification of light is essential across many scientific disciplines. Devices used to measure light range from the highly precise scanning spectroradiometers to the more practical compact multichannel filter-array type imaging sensor ...
2021A Real-time Synchrophasor Data Compression Method Using Singular Value Decomposition
The proliferation of phasor measurement units (PMUs) presents new challenges in archiving and processing large amounts of synchrophasor data which necessitates advanced data compression methods. This paper proposes a singular value decomposition (SVD)-base ...
2021Benchmarking of objective quality metrics for point cloud compression
Touradj Ebrahimi, Evangelos Alexiou
Point cloud is a promising imaging modality for the representation of 3D media. The vast volume of data associated with it requires efficient compression solutions, with lossy algorithms leading to larger bit-rate savings at the expense of visual impairmen ...
2021Wavelet-Fourier CORSING techniques for multidimensional advection-diffusion-reaction equations
Fabio Nobile, Simone Brugiapaglia
We present and analyze a novel wavelet-Fourier technique for the numerical treatment of multidimensional advection–diffusion–reaction equations based on the COmpRessed SolvING (CORSING) paradigm. Combining the Petrov–Galerkin technique with the compressed ...
2020Performance assessment of the BTDF data compression based on wavelet transforms in daylighting simulation
Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu
The bidirectional transmittance distribution function (BTDF), which is used to characterize the light transmission of a complex fenestration system (CFS), commonly involves bulky volume of data that can be a challenge to data storage and transmission in li ...
2019Performance assessment of the BTDF data compression based on wavelet transforms in daylighting simulation
Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu
The bidirectional transmittance distribution function (BTDF), which is used to characterize the light transmission of a complex fenestration system (CFS), commonly involves bulky volume of data that can be a challenge to data storage and transmission in li ...
2019Time- and Space-Efficient Spatial Data Analytics
Advances in data acquisition technologies and supercomputing for large-scale simulations have led to an exponential growth in the volume of spatial data. This growth is accompanied by an increase in data complexity, such as spatial density, but also by mor ...
EPFL2019A Functional Framework for Enhanced Ultrasound Imaging
Ultrasound systems are cheap, portable, and fast, which have become impressively popular over the last decades. State-of art imaging is however known to be sub-optimal. Most attempts to improve it formulate the problem on a discrete spatial grid and suffer ...
2017Local Geometric Transformations in Image Analysis
The characterization of images by geometric features facilitates the precise analysis of the structures found in biological micrographs such as cells, proteins, or tissues. In this thesis, we study image representations that are adapted to local geometric ...
EPFL2016