T
Timo Hämäläinen
Researcher at University of Jyväskylä
Publications - 598
Citations - 8390
Timo Hämäläinen is an academic researcher from University of Jyväskylä. The author has contributed to research in topics: Quality of service & Encoder. The author has an hindex of 38, co-authored 560 publications receiving 7648 citations. Previous affiliations of Timo Hämäläinen include Dalian Medical University & Nokia.
Papers
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Proceedings ArticleDOI
Multiple Interface Management of Multihomed Mobile Hosts in Heterogeneous Wireless Environments
TL;DR: This paper presents the VERHO architecture, a policy based vertical handover controller system that utilizes input from several cross-layer sources, the Mobile IPv6 protocol and network interface selection to achieve both proactive and intelligent vertical handovers between a variety of access interfaces.
Proceedings ArticleDOI
Instruction Memory Architecture Evaluation on Multiprocessor FPGA MPEG-4 Encoder
TL;DR: It is shown that the traditional distributed memory architecture is outperformed by shared instruction memories with sufficient cache sizes and the number of processors is in general the most significant single factor once the sufficient cache size is reached.
Journal ArticleDOI
Application modelling and hardware description for network-on-chip benchmarking
TL;DR: A black-box view of the processing elements is presented that discloses only the computational aspects that are relevant in interacting with the on chip data transport mechanism and an extensible markup language (XML) format is defined for documenting and distributing network-on-chip (NoC) benchmarks.
Journal ArticleDOI
A Self-Tuning Robust Regulator for Infinite-Dimensional Systems
TL;DR: A self-tuning controller is proposed, which generalizes to infinite-dimensional systems and sinusoidal reference and disturbance signals the controller given by Miller and Davison in 1989 for finite-dimensional Systems and constant reference and disturbances signals.
Proceedings ArticleDOI
Detecting corrupted intra macroblocks in H.263 video
TL;DR: The proposed method substantially improves image quality of video conferencing sequences in presence of transmission errors and is compared to average intersample difference across the block boundaries (AIDB) algorithm whose performance is shown to be more sensitive to selection of correct threshold values than the proposed method.