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Adaptive Resource Management for Uncertain Execution Platforms

Embedded systems are becoming increasingly complex. At the same time, the components that make up the system grow more uncertain in their properties. For example, current developments in CPU design focuses on optimizing for average performance rather than better worst case performance. This, combined with presence of 3rd party software components with unknown properties, makes resource management

On coefficient memory co-optimization for channel estimation in a multi-standard environment (LTE and DVB-H)

This paper presents a novel memory optimization technique to exploit the analogy between correlation coefficients in MMSE-based channel estimators across multiple standards. The need for coefficient storage for robust MMSE channel estimators is expensive in terms of on-chip memory. Besides, the memory requirements grow linearly by integrating more standards onto one platform. Thus, it becomes inev

Simple tuning rules for feedforward compensators

This paper describes new simple tuning rules for design of feedforward compensators. The problem of feedforward from load disturbances is analyzed, and it is shown that the feedback controller should be taken into account in the feedforward design process. Simple rules based on IAE minimization with restrictions on the process output overshoot and the high-frequency gain of the compensator are the

Pion and Kaon Dynamics at Higher Orders in Chiral Perturbation Theory

Popular Abstract in Swedish Beräkningar av högre ordning i kiral störningsteorin med tre kvarkar presenteras. De relevanta frihetsgraderna i denna teorin är de lättaste pseudo-skalära mesonerna, pionen och kaonen. Syftet med dessa beräkningar är dubbelt. För det första, att kunna bestämma de erforderliga lågenergi-konstanter som krävs för att uppnå högre precision i förutsägelserna från denna teorHigher orders calculations of processes involving the pion and kaon pseudo-scalar mesons are presented in the framework of three flavour Chiral Perturbation Theory. The purpose is two-fold. First determining the low energy constants of ChPT that are necessary for higher accuracy predictions. Secondly, testing the validity of the chiral expansion in the strange quark mass, with emphasis on the valu

Mixing patterns in Rushton-turbine-agitated reactors

This Ph.D. Thesis concerns the study of mixing in Rushton turbine agitated reactors. In industrial (bio)reactors, mixing is recognised as a limiting factor that significantly affects the performance of the process. This limitation has motivated the present study. It is first shown how planar laser-induced fluorescence (PLIF) can be used to investigate mixing in a model reactor. The principles of

Quantization noise modeling in low-delay speech coding

We present a low-delay vector predictive transform coder with quantization noise modeling. The coder uses overlapped transform coding and a Kalman filter with a backward estimated LPC model of the speech signal combined with an additive noise model of the quantization noise. The noise model is driven by the vector quantizer. Each quantizer cell has its own error correlation matrix, which is kept i

Comparative aerodynamic performance of flapping flight in two bat species using time-resolved wake visualization.

Bats are unique among extant actively flying animals in having very flexible wings, controlled by multi-jointed fingers. This gives the potential for fine-tuned active control to optimize aerodynamic performance throughout the wingbeat and thus a more efficient flight. But how bat wing performance scales with size, morphology and ecology is not yet known. Here, we present time-resolved fluid wake