3. Filter-wavelet bench relations

Wavelet analysis is also known as multi-resolution analysis or time-scale representation of signals, and is equivalent to the time-frequency analysis of the short-term Fourier transform or other transforms such as Gabor or Wigner-Ville. The continuous wavelet transform (CWT) was introduced by Goupillaud, Grossman and Morlet . It is defined by : $TOC [x (t); a, b] =$

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
Filter-wavelet bench relations

Previous
page Filter banks

References

(1) - CROCHIERE (R.), RABINER (L.) - Multirate Digital Signal Processing. - Prentice Hall (1983).
(2) - VAIDYANATHAN (P.P.) - Multirate Systems and Filter Banks. - Prentice Hall (1993).
(3)...