By Topic

The wavelet transform: a review and application to enhanced data storage reduction in mismatched filter receivers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
S. E. El-Khamy ; Dept. of Electr. Eng., Alexandria Univ., Egypt ; M. B. Al-Ghoniemy

The wavelet transform (WT) is an efficient time-frequency signal processing tool. In the first part of this paper, a general review of the characteristics of some of the popular time-frequency representations (TFRs) is given. In particular we review the short-time Fourier transform (STFT) and the Wigner distribution (WD). The WT is then reviewed in detail as well as the discrete (orthogonal) wavelet transform (DWT). It is shown that the WT overcomes the main drawbacks of the STFT and the WD w.r.t. simultaneous time and frequency resolution. In the second part of the paper, we present a contribution dealing with a new application of the DWT. In particular, we show that by using orthogonal wavelet basis functions, we achieve a considerable reduction in the data storage needed for the matched receiver of chirp signals. Linear and nonlinear chirp signals with Gaussian envelopes are considered. The simulation results show that with more than 80% reduction, the performance of the matched filter (mismatched in this case) is very close to that of the classical MF receiver without data compression. The results are very important for chirp pulse compression radar systems as well as for digital communication and multiple-access systems based on the use of chirp signals

Published in:

Radio Science Conference, 1996. NRSC '96., Thirteenth National

Date of Conference:

19-21 Mar 1996