Embedded-signal design for channel parameter estimation part II: Quantization embedding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This is part II of a paper devoted to the problem of waveform design for identification of communication channel parameters, where the waveform is to be embedded in a host signal. We study a quantization-based embedding method and a two-step parameter estimator. The first step is a decoding problem, and the second step is a nonlinear least-squares minimization problem. Estimation performance is studied in an asymptotic regime. Under some conditions, the estimator does as well as one that knows the host signal.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Pages42-45
Number of pages4
ISBN (Electronic)0780379977
DOIs
StatePublished - 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2003-January

Other

OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
CountryUnited States
CitySt. Louis
Period9/28/0310/1/03

Keywords

  • Communication channels
  • Covariance matrix
  • Delay
  • Information security
  • Nonlinear distortion
  • Parameter estimation
  • Quantization
  • Signal design
  • Signal processing
  • Watermarking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

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