27,188 research outputs found

    Structure and Composition of Reptile Communities in Human Modified Landscape in Gianyar Regency, Bali

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    As one of the centres of tourism in Bali, Gianyar Regency has undergone a rapid development rate which could threaten wildlife, including reptile community. This research was carried out in July to October 2014 to (1) analyse the reptile community on various gradients of human modified landscape, (2) determine the relationship between environmental character and reptiles, and (3) determine body size trend of generalist species along landscape gradient. Standard visual encountered surveys were used to observe reptile community in four human modified landscape (settlements, rice fields, farmland/cropland, and monoculture stands). We found 21 species of reptiles (n = 602 individuals) and the Shannon–Wiener index for diversity was 1.78. Reptile abundance tends to decline in increasing level of modification. Water sources and vegetation cover were positively correlated to reptile community, while disturbance factors (i.e. decrease in area size and shorter distance to settlements) give negative impact to reptile community. There was no correlation between body size of generalist species of reptile (Gekko gecko) and level of landscape modification

    Iterative greedy algorithm for solving the FIR paraunitary approximation problem

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    In this paper, a method for approximating a multi-input multi-output (MIMO) transfer function by a causal finite-impulse response (FIR) paraunitary (PU) system in a weighted least-squares sense is presented. Using a complete parameterization of FIR PU systems in terms of Householder-like building blocks, an iterative algorithm is proposed that is greedy in the sense that the observed mean-squared error at each iteration is guaranteed to not increase. For certain design problems in which there is a phase-type ambiguity in the desired response, which is formally defined in the paper, a phase feedback modification is proposed in which the phase of the FIR approximant is fed back to the desired response. With this modification in effect, it is shown that the resulting iterative algorithm not only still remains greedy, but also offers a better magnitude-type fit to the desired response. Simulation results show the usefulness and versatility of the proposed algorithm with respect to the design of principal component filter bank (PCFB)-like filter banks and the FIR PU interpolation problem. Concerning the PCFB design problem, it is shown that as the McMillan degree of the FIR PU approximant increases, the resulting filter bank behaves more and more like the infinite-order PCFB, consistent with intuition. In particular, this PCFB-like behavior is shown in terms of filter response shape, multiresolution, coding gain, noise reduction with zeroth-order Wiener filtering in the subbands, and power minimization for discrete multitone (DMT)-type transmultiplexers

    Multilevel Monte Carlo simulation for Levy processes based on the Wiener-Hopf factorisation

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    In Kuznetsov et al. (2011) a new Monte Carlo simulation technique was introduced for a large family of Levy processes that is based on the Wiener-Hopf decomposition. We pursue this idea further by combining their technique with the recently introduced multilevel Monte Carlo methodology. Moreover, we provide here for the first time a theoretical analysis of the new Monte Carlo simulation technique in Kuznetsov et al. (2011) and of its multilevel variant for computing expectations of functions depending on the historical trajectory of a Levy process. We derive rates of convergence for both methods and show that they are uniform with respect to the "jump activity" (e.g. characterised by the Blumenthal-Getoor index). We also present a modified version of the algorithm in Kuznetsov et al. (2011) which combined with the multilevel methodology obtains the optimal rate of convergence for general Levy processes and Lipschitz functionals. This final result is only a theoretical one at present, since it requires independent sampling from a triple of distributions which is currently only possible for a limited number of processes
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