Cart (Loading....) | Create Account
Close category search window
 

Spectral analysis of Q -ary digital signals encoded by P -ary convolutional codes (Corresp.)

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
$31 $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)

A method for spectral calculation ofq-ary digital signals encoded byp-ary convolutional codes is developed. We have assumed a parallel encoding process such that for a code with ratek/nand constraint lengthm, the encoder can be modeled as a Mealy machine ofkinputs,noutputs, and(m - 1) kq-ary memory cells. From this model and from the generator matrix of the code, the characterizing matrices of the Mealy machine are found in a straightforward way. Two assumptions are made on the statistics of the input signal. 1) The input sequence is a wide-sense stationary vector process of dimensionk. 2) The input vectors are statistically independent. With these assumptions and from the characterizing matrices of the Mealy machine, the method developed by Cariolaro and Tronca can be readily used. The continuous and discrete components of the spectrum of the coded signal are expressed in matrix form, which is particularly appropriate for computer programming.

Published in:

Information Theory, IEEE Transactions on  (Volume:32 ,  Issue: 2 )

Date of Publication:

Mar 1986

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.