### 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 language | English (US) |
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Pages | 218-221 |

Number of pages | 4 |

DOIs | |

State | Published - Dec 1 2006 |

Event | 2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS - Moose, WY, United States Duration: Sep 24 2006 → Sep 27 2006 |

### Other

Other | 2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS |
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Country | United States |

City | Moose, WY |

Period | 9/24/06 → 9/27/06 |

### ASJC Scopus subject areas

- Signal Processing
- Electrical and Electronic Engineering

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## Cite this

*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