Concepedia

Concept

multidimensional signal processing

Parents

11.4K

Publications

846.2K

Citations

21.8K

Authors

4K

Institutions

About

Multidimensional signal processing is an academic field and methodological approach dedicated to the theory and application of analyzing, manipulating, and synthesizing signals that vary across two or more independent dimensions. It investigates signals such as images, video, volumetric data, and other spatiotemporal or higher-dimensional arrays, employing specialized mathematical and computational techniques like multidimensional transforms, filtering, and spectral analysis to exploit inherent correlations and structures. Its significance lies in enabling the effective analysis, enhancement, compression, and interpretation of complex data encountered in diverse domains including medical imaging, remote sensing, computer vision, and geophysics.

Top Authors

Rankings shown are based on concept H-Index.

MU

École Polytechnique Fédérale de Lausanne

DP

Imperial College London

MV

École Polytechnique Fédérale de Lausanne

PF

École Normale Supérieure de Lyon

RG

Rice University

Top Institutions

Rankings shown are based on concept H-Index.

Stanford University

Stanford, United States