Compressed sensing theory indicates that selecting a few measurements independently at random is a near optimal strategy to sense sparse or compressible signals. This is infeasible in practice for many acquisition devices that acquire samples along continuous trajectories. Examples include magnetic resonance imaging (MRI), radio-interferometry, mobile-robot sampling, ... In this paper, we propo...

out shared properties both for morphotactics and shape, one would still have to specify all combinations manually. Fortunately, the concept of online type construction (Koenig & Jurafsky 1994) provides the desirable solution, since it turns otherwise static type hierarchies into a generative device, essentially making them dynamic. In order to address similar problems within the lexicon (i.e. s...

A state-variable-based approach to the impulse response and convolution analysis of distributed microwave circuits is developed. The state-variable approach minimizes computation time and memory requirements. It allows the use of parameterized nonlinear device models, thus improving robustness. Soliton generation on a nonlinear transmission line is considered as an example.

In this paper, we are to develop a second-order LMS-type adaptive equalizer to reduce distortions of data transmission over analog telephone channels due the channel impulse response and inter-symbol interference (ISI). A novel approach for updating the linear and quadratic coefficients vectors of a second-order Volterra filter is presented. The innovative features of this algorithm provide dis...

In static analysis by abstract interpretation, one often uses widening operators in order to enforce convergence within finite time to an inductive invariant. Certain widening operators, including the classical one over finite polyhedra, exhibit an unintuitive behavior: analyzing the program over a subset of its variables may lead a more precise result than analyzing the original program! In th...

this paper presents a novel control approach used in shunt active power filter based on variable structure control combined with random pwm technique (rvsc) that provides robust, fast, and more favorable performance for active power filter. this control strategy is compared with two other strategies to show the effectiveness of the introduced methods; pulse width modulated proportional-integral...

We consider the problem of parameter estimation using weakly supervised datasets, where a training sample consists of the input and a partially specified annotation, which we refer to as the output. The missing information in the annotation is modeled using latent variables. Traditional methods, such as expectation-maximization, overburden a single distribution with two separate tasks: (i) mode...

by Karel Hron23, Peter Filzmoser4, Sandra Donevska23 and Eva Fǐserová23 1 Received ....................; accepted .......................... 2 Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University, 17. listopadu 12, 771 46 Olomouc, Czech Republic; e-mail: [email protected], [email protected], [email protected] 3 Department of Geoinformati...

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We present a new method to represent variable bindings in the Warren Abstract Machine WAM so that ages of variable bindings can be easily found using this new representation The age of a variable bound to a ground term will be the youngest choice point such that backtracking to that choice point can make that variable an unbound variable again In other words the age of a variable bound to a gro...