Collaborative signal processing for efficient Wireless Sensor Networks (ASPIRE)

ASPIRE1

Funding source:  European Commission, FP6-MC-ToK, Excellence Science

Principal Investigator: Prof. Baltasar Beferull-Lozano

Topic: The main scientific contribution of ASPIRE is the investigation and development of innovative concepts and solutions to the challenges presented by the envisioned availability of very large numbers of possibly heterogeneous sensors, each of which limited in power, computation, memory and communication bandwidth. The partners of this project rely on their previous research experience in array and statistical non-Gaussian signal processing, adaptive systems, multiresolution signal & image denoising, compression and classification, statistical communication theory, and immersive multimedia technology. In addition, the partners participating in this project have leveraged their expertise in WSNs and immersive audio.

Role: Leader of WP related to distributed inference tasks (e.g. distributed classification and learning).

Period: 2006 – 2010