Projects per year

### Abstract

The first step in any graph signal processing (GSP) task is to learn the graph signal representation, i.e., to capture the dependence structure of the data into an adjacency matrix. Indeed, the adjacency matrix is typically not known a priori and has to be learned. However, it is learned with errors. A little, if any, attention has been paid to modeling such errors in the adjacency matrix, and studying their effects on GSP tasks. Modeling errors in adjacency matrix will enable both to study the graph error effects in GSP and to develop robust GSP algorithms. In this paper, we therefore introduce practically justifiable graph error models. We also study, both analytically and in terms of simulations, the graph error effect on the performance of GSP based on the example of independent component analysis of graph signals (graph decorrelation).

Original language | English |
---|---|

Title of host publication | 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |

Publisher | IEEE |

Pages | 4164-4168 |

Number of pages | 5 |

ISBN (Electronic) | 978-1-5386-4658-8 |

DOIs | |

Publication status | Published - 2018 |

MoE publication type | A4 Article in a conference publication |

Event | IEEE International Conference on Acoustics, Speech, and Signal Processing - Calgary, Canada Duration: 15 Apr 2018 → 20 Apr 2018 https://2018.ieeeicassp.org/ |

### Publication series

Name | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing |
---|---|

ISSN (Electronic) | 2379-190X |

### Conference

Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing |
---|---|

Abbreviated title | ICASSP |

Country | Canada |

City | Calgary |

Period | 15/04/2018 → 20/04/2018 |

Internet address |

### Keywords

- Erdos-Renyi graphs
- error effect
- graph signal processing
- minimum distance index
- shift matrix
- NETWORKS

## Projects

## Robust Statistics for High-dimensional Data

Ollila, E., Raninen, E., Tabassum, M. N. & Basiri, S.

01/09/2016 → 31/12/2020

Project: Academy of Finland: Other research funding

## Transmit beamspace for active compressive sensing and communication with multiple waveforms

Kocharlakota, K., Upadhya, K., Li, Y., Rizwan Ullah, R., Gao, R., Vorobyov, S., Ghorbani Veshki, F. & Dosti, E.

01/09/2016 → 25/09/2020

Project: Academy of Finland: Other research funding

## Cite this

*2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)*(pp. 4164-4168). (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP.2018.8461460