# Agenda

## Signal Processing Seminar

- Thursday, 28 September 2017
- 13:30-14:30
- HB 17.150

### Graph Sampling for Covariance Estimation

**Geert Leus**

In this talk, the focus is on subsampling as well as reconstructing the second-order statistics of signals residing on nodes of arbitrary undirected graphs. Second-order stationary graph signals may be obtained by graph filtering zero-mean white noise and they admit a well-defined power spectrum whose shape is determined by the frequency response of the graph filter. Estimating the graph power spectrum forms an important component of stationary graph signal processing and related inference tasks such as Wiener prediction or inpainting on graphs. The central result is that by sampling a significantly smaller subset of vertices and using simple least squares, we can reconstruct the second-order statistics of the graph signal from the subsampled observations, and more importantly, without any spectral priors. To this end, both a nonparametric approach as well as parametric approaches are considered. The results specialize for undirected circulant graphs in that the graph nodes leading to the best compression rates are given by the so-called minimal sparse rulers.

Additional information ...### Agenda

- Thu, 23 Aug 2018
- 14:00
- LB 01.170 Timmanzaal

### MSc SS Thesis Presentation

#### Guillermo Ortiz Jiménez

#### Multidomain Graph Signal Processing: Learning and Sampling

Sparse sampling for tensors and graphs

- Thu, 30 Aug 2018
- 10:00
- HB 01.230

### MSc SS Thesis Presentation

#### Haidong Hao

#### Vessel Layer Separation of X-ray Angiographic Images using Deep Learning Methods

Fast solutions based on a fully convolutional network (FCN) trained by conventional loss or adversarial loss.

- Fri, 31 Aug 2018
- 10:30

### MSc TC Thesis Presentation

#### Feng Ma

#### Respiration monitoring based on information fusion from Impedance pneumography and Electrocardiography

With known respiration information, corresponding parameters in both time domain (respiratory rate) and frequency domain (respiratory power) can be extracted to indicate the health condition.

- Thu, 13 Sep 2018
- 13:30
- HB 17.150

### Signal Processing Seminar

#### Pim van der Meulen

#### Low-cost sparse sensing designed for specific tasks

- Thu, 13 Sep 2018
- 10:00
- HB 17.150

### MSc TC Thesis Presentation

#### Lichen Yao

#### Bluetooth Direction Finding

This thesis project focuses on the algorithm developement and practical considerations for Indoor Direction Finding feature that will be incorporated in the next generation Bluetooth standard.

- Thu, 20 Sep 2018
- 13:30
- HB 17.150

### Signal Processing Seminar

#### Tuomas Aittomäki

#### Tutorial on: Sum-of-squares Representation in Optimization and Applications in Signal Processing

- Thu, 27 Sep 2018
- 13:30
- HB 17.150

### Signal Processing Seminar

#### Krishnaprasad Nambur Ramamohan

#### Signal processing algorithms for acoustic vector sensors

- Thu, 4 Oct 2018
- 13:30
- HB 17.150

### Signal Processing Seminar

#### Farnaz Chamanzadeh

#### Accurate timing and positioning through an optical-wireless distributed time and frequency reference

- Thu, 11 Oct 2018
- 13:30
- HB 17.150