Speech compression using the Matrix pencil technique

Darren M. Haddad, Tapan K. Sarkar, Andrew J. Noga

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

Matrix Pencils (MP) facilitate the study of differential equations resulting from oscillating systems. Certain problems in linear ordinary differential equations, such as speech processing, can be represented as the problem of finding a canonical pencil strictly equivalent to a given pencil. The MP is a direct data domain approach to estimate the signal's poles. The MP depends on only the data and is not a stochastic estimator. This approach has many benefits over a statistical approach. One benefit is that a smaller amount of data could be used to estimate the poles. The second benefit is that it results in a lower variance associated with the estimates of the parameters, which comes close to the Cramer-Rao bound.[1]

Original languageEnglish (US)
Pages218-221
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS - Moose, WY, United States
Duration: Sep 24 2006Sep 27 2006

Other

Other2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS
CountryUnited States
CityMoose, WY
Period9/24/069/27/06

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Speech compression using the Matrix pencil technique'. Together they form a unique fingerprint.

  • Cite this

    Haddad, D. M., Sarkar, T. K., & Noga, A. J. (2006). Speech compression using the Matrix pencil technique. 218-221. Paper presented at 2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS, Moose, WY, United States. https://doi.org/10.1109/DSPWS.2006.265410