Sami Inkinen

Introduction to Mobile Internet Technical Architecture

Nokia has taken a global initiative to develop a comprehensive technical architecture for the Mobile Internet. The initiative, Nokia Mobile Internet Technical Architecture, aims to provide seamless interoperability between all interaction modes, any network environment and with any type of access. The ultimate objective of the initiative is to create a user-friendly Mobile Internet experience for everyone. This will be done by identifying the relevant communication modes, by defining the key technologies required to support them and by driving industry participation to develop a common wireless Internet platform.In developing a comprehensive technical architecture for the Mobile Internet, Nokia aims to limit the complexity of the inherently technical environment; users do not want to worry about the underlying technologies. Nokia sees three key elements as fundamental to the Mobile Internet Technical Architecture: identity, interaction modes and network environments. Bringing these together and managing the challenges they pose is at the core of this initiative and will ensure high-quality and seamless interoperability in end-to-end services.Open solution benefits all; profitable business scenarios call for interoperability, short development cycles, large volumes and most of all global reach. Unless there is a commonly accepted architectural solution, the markets will be fragmented as well as requiring separate parameters, and where the total volume is much smaller than in a single global market.

Base line estimation using sparse nonlinear operators

Efficient nonlinear operators for base line estimation of high energy physics detector signals are introduced. Due to the high processing rate requirements the operators are simplified using sparse input sequences. The operators are a sparse order statistic filter, a sparse L-filter and a sparse Kronecker Ll-filter. Each filter is optimized using a total cost function minimization algorithm based on the conjugate gradient search. The performance of different operators is compared using simulated detector signal sequences.