Publication

An information theoretic perspective on multimodal signal processing

Jean-Philippe Thiran
2005
Reports

Abstract

Multimodal signals can be defined in general as signals originating from the same physical source, but acquired through different devices, techniques or protocols. This applies for example to audio-visual signals, medical or satellite images. Understanding the joint dependencies of such signals is the first step toward intelligent means for their analysis. Information theory offers a rich theoretical framework in which such dependencies can be emphasized and from this, new methods of signal analysis can be developed.

Official source

https://infoscience.epfl.ch/entities/publication/2e81fbc5-4f14-4bfd-9e0e-3236534746f8

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Jean-Philippe Thiran
2005
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/2e81fbc5-4f14-4bfd-9e0e-3236534746f8

About this result

Related concepts (31)

Signal

In signal processing, a signal is a function that conveys information about a phenomenon. Any quantity that can vary over space or time can be used as a signal to share messages between observers. The IEEE Transactions on Signal Processing includes audio, video, speech, , sonar, and radar as examples of signals. A signal may also be defined as observable change in a quantity over space or time (a time series), even if it does not carry information.

Signals intelligence

Signals intelligence (SIGINT) is intelligence-gathering by interception of signals, whether communications between people (communications intelligence—abbreviated to COMINT) or from electronic signals not directly used in communication (electronic intelligence—abbreviated to ELINT). Signals intelligence is a subset of intelligence collection management. As classified and sensitive information is usually encrypted, signals intelligence in turn involves the use of cryptanalysis to decipher the messages.

Signal processing

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, , potential fields, seismic signals, altimetry processing, and scientific measurements. Signal processing techniques are used to optimize transmissions, digital storage efficiency, correcting distorted signals, subjective video quality and to also detect or pinpoint components of interest in a measured signal. According to Alan V. Oppenheim and Ronald W.

Related publications (20)

An information theoretic perspective on multimodal signal processing

Chat with Graph Search

Dataset: Modelling human activities in a system of cities

Scanning probe microscope

Noise analysis techniques of in-core modulation experiments of the European CORTEX project