Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

A simple polynomial approximation to the Gaussian Q-function and its application

Tools
- Tools
+ Tools

Chen, Yunfei and Beaulieu, Norman C. (2009) A simple polynomial approximation to the Gaussian Q-function and its application. IEEE Communications Letters, Vol.13 (No.2). pp. 124-126. doi:10.1109/LCOMM.2009.081754 ISSN 1089-7798.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1109/LCOMM.2009.081754

Request Changes to record.

Abstract

A simple polynomial approximation to the Gaussian Q-function is proposed, based on the observation that a Gaussian random variable can be well approximated by a sum of uniform random variables. The approximation can be used to obtain accurate explicit approximations to problems that otherwise do not have explicit solutions or approximate explicit solutions. As an example, an explicit expression for the average symbol error rate of M-ary pulse amplitude modulation in lognormal channels is derived using the new approximation, and the approximate symbol error rate is shown to be very close to the exact value.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Polynomials, Approximation theory, Random noise theory
Journal or Publication Title: IEEE Communications Letters
Publisher: IEEE
ISSN: 1089-7798
Official Date: February 2009
Dates:
DateEvent
February 2009Published
Volume: Vol.13
Number: No.2
Number of Pages: 3
Page Range: pp. 124-126
DOI: 10.1109/LCOMM.2009.081754
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us