Article | REF: E3088 V1

Digital signal processing -Random signals

Authors: Gérard BLANCHET, Maurice CHARBIT

Publication date: May 10, 2013, Review date: October 30, 2017

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Français

3. Conclusion

This article does not pretend to be exhaustive with regard to the problems associated with random signals. It is far from it, and the abundant literature on the subject confirms this. Today's computing resources make it possible to tackle highly complex problems, to which statistical approaches provide an appropriate response: Monte-Carlo and particle methods, parsimony models, testing of processing models, etc. are all keywords that enable us to go further in the search for signal processing solutions.

SCROLL TO TOP
You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Electronics

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Conclusion