### Abstract

In this paper we consider the problem of lossy coding of correlated vector sources with uncoded side information available at the decoder. In particular, we consider lossy coding of source x ⊂ ℝ^{N} which is correlated with source y ⊂ ℝ^{N}, known at the decoder. The general non-linear mapping between y and x capturing the correlation between the two sources can be approximated through a linear model y = Hx+n in which n is independent of x. This model can be viewed as a fictitious communication channel with input x and output y. Utilizing a powerful signal processing technique, namely channel equalization, we convert the original vector source coding problem into a set of manageable scalar source coding problems. The scalar source coding problems can be solved using the existing distributed source coding algorithms that are primarily designed for the simple correlation model y = x + n where x and y are scalar jointly Gaussian sources.

Original language | English (US) |
---|---|

Title of host publication | 43rd Annual Allerton Conference on Communication, Control and Computing 2005 |

Publisher | University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering |

Pages | 1237-1246 |

Number of pages | 10 |

Volume | 3 |

ISBN (Print) | 9781604234916 |

State | Published - 2005 |

Externally published | Yes |

Event | 43rd Annual Allerton Conference on Communication, Control and Computing 2005 - Monticello, United States Duration: Sep 28 2005 → Sep 30 2005 |

### Other

Other | 43rd Annual Allerton Conference on Communication, Control and Computing 2005 |
---|---|

Country | United States |

City | Monticello |

Period | 9/28/05 → 9/30/05 |

### Fingerprint

### ASJC Scopus subject areas

- Computer Networks and Communications
- Computer Science Applications

### Cite this

*43rd Annual Allerton Conference on Communication, Control and Computing 2005*(Vol. 3, pp. 1237-1246). University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering.

**A wyner ziv codec based on equalization at the decoder.** / Vosoughi, Azadeh; Scaglione, Anna.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*43rd Annual Allerton Conference on Communication, Control and Computing 2005.*vol. 3, University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering, pp. 1237-1246, 43rd Annual Allerton Conference on Communication, Control and Computing 2005, Monticello, United States, 9/28/05.

}

TY - GEN

T1 - A wyner ziv codec based on equalization at the decoder

AU - Vosoughi, Azadeh

AU - Scaglione, Anna

PY - 2005

Y1 - 2005

N2 - In this paper we consider the problem of lossy coding of correlated vector sources with uncoded side information available at the decoder. In particular, we consider lossy coding of source x ⊂ ℝN which is correlated with source y ⊂ ℝN, known at the decoder. The general non-linear mapping between y and x capturing the correlation between the two sources can be approximated through a linear model y = Hx+n in which n is independent of x. This model can be viewed as a fictitious communication channel with input x and output y. Utilizing a powerful signal processing technique, namely channel equalization, we convert the original vector source coding problem into a set of manageable scalar source coding problems. The scalar source coding problems can be solved using the existing distributed source coding algorithms that are primarily designed for the simple correlation model y = x + n where x and y are scalar jointly Gaussian sources.

AB - In this paper we consider the problem of lossy coding of correlated vector sources with uncoded side information available at the decoder. In particular, we consider lossy coding of source x ⊂ ℝN which is correlated with source y ⊂ ℝN, known at the decoder. The general non-linear mapping between y and x capturing the correlation between the two sources can be approximated through a linear model y = Hx+n in which n is independent of x. This model can be viewed as a fictitious communication channel with input x and output y. Utilizing a powerful signal processing technique, namely channel equalization, we convert the original vector source coding problem into a set of manageable scalar source coding problems. The scalar source coding problems can be solved using the existing distributed source coding algorithms that are primarily designed for the simple correlation model y = x + n where x and y are scalar jointly Gaussian sources.

UR - http://www.scopus.com/inward/record.url?scp=84962092591&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962092591&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84962092591

SN - 9781604234916

VL - 3

SP - 1237

EP - 1246

BT - 43rd Annual Allerton Conference on Communication, Control and Computing 2005

PB - University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering

ER -