In the present paper, we consider a method for improving the computational algorithm for finding the factorials of integers;this method linearly accelerates the computations. We also present several algorithms effecti...
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In the present paper, we consider a method for improving the computational algorithm for finding the factorials of integers;this method linearly accelerates the computations. We also present several algorithms effectively realizing this method and analyze their complexity.
作者:
Popescu, DCCSIRO
Div Math & Informat Sci Canberra ACT 2601 Australia
Fractal image coding is a relatively new technique of lossy image compression which exploits the piecewise self-similarity existing in an image. in this paper we present a survey of the achievements in the field We th...
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Fractal image coding is a relatively new technique of lossy image compression which exploits the piecewise self-similarity existing in an image. in this paper we present a survey of the achievements in the field We then focus our attention on a fundamental aspect of fractal coding - that concerning the nature of the transformations used in matching natural patterns. Through the analysis of a few models we try to suggest both the difficulties and the potential of this line of research.
The nearest neighbor interchange (nni) metric is a distance measure providing a quantitative measure of dissimilarity between two unrooted binary trees with labeled leaves. The metric has a transparent definition in t...
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The nearest neighbor interchange (nni) metric is a distance measure providing a quantitative measure of dissimilarity between two unrooted binary trees with labeled leaves. The metric has a transparent definition in terms of a simple transformation of binary trees, but its use in nontrivial problems is usually prevented by the absence of a computationally efficient algorithm. Since recent attempts to discover such an algorithm continue to be unsuccessful, we address the complementary problem of designing an approximation to the nni metric. Such an approximation should be well-defined, efficient to compute, comprehensible to users, relevant to applications, and a close fit to the nni metric; the challenge, of course, is to compromise these objectives in such a way that the final design is acceptable to users with practical and theoretical orientations. We describe an approximation algorithm that appears to satisfy adequately these objectives. The algorithm requires O(n) space to compute dissimilarity between binary trees withn labeled leaves; it requires O(n logn) time for rooted trees and O(n 2 logn) time for unrooted trees. To help the user interpret the dissimilarity measures based on this algorithm, we describe empirical distributions of dissimilarities between pairs of randomly selected trees for both rooted and unrooted cases.
We present a new fast algorithm for Recursive Least-Squares (RLS) adaptive filtering that uses displacement structure and subsampled updating. The FSU FTF algorithm is based on the Fast Transversal Filter (FTF) algori...
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We present a new fast algorithm for Recursive Least-Squares (RLS) adaptive filtering that uses displacement structure and subsampled updating. The FSU FTF algorithm is based on the Fast Transversal Filter (FTF) algorithm, which exploits the shift invariance that is present in the RLS adaptation of a FIR filter. The FTF algorithm is in essence the application of a rotation matrix to a set of filters and in that respect resembles the Levinson algorithm. In the subsampled updating approach, we accumulate the rotation matrices over some time interval before applying them to the filters. It turns out that the successive rotation matrices themselves can be obtained from a Schur type algorithm which, once properly initialized, does not require inner products. The various convolutions that thus appear in the algorithm are done using the Fast Fourier Transform (FFT). For relatively long filters, the computational complexity of the new algorithm is smaller than the one of the well-known LMS algorithm, rendering it especially suitable for applications such as acoustic echo cancellation.
We propose a receiver structure intended for high bit rate transmissions. In order to ensure a good compromise between performance and complexity, the receiver is composed of a transversal phase-corrective filter foll...
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We propose a receiver structure intended for high bit rate transmissions. In order to ensure a good compromise between performance and complexity, the receiver is composed of a transversal phase-corrective filter followed by an equaliser, which takes only partially the channel impulse response into "count. We propose a non-iterative technique to adjust the filter tap coefficients, based on the cepstral properties of a minimum phase response. The performance of the filter is evaluated and shown by simulating a transmission system including a multipath mobile radio channel, the filter and a DFSE equaliser (decision feedback sequence estimator).
On présente un algorithme de calcul d’une transformation de Fourier discrète adaptée aux signaux réels. Cet algorithme permet un calcul sur place de la transformée et sa structure à base...
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On présente un algorithme de calcul d’une transformation de Fourier discrète adaptée aux signaux réels. Cet algorithme permet un calcul sur place de la transformée et sa structure à base 4 ne nécessite pas de réordonnancement à chaque étage. De plus, il se prête bien à l’analyse spectrale (calcul de périodogramme) de signaux pondérés par des fenêtres de type Hamming.
A linear applicative solution is presented for the Imperative Set Union problem. This problem is among those thought not to have a purely applicative solution of the same order of complexity as the best imperative so...
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A linear applicative solution is presented for the Imperative Set Union problem. This problem is among those thought not to have a purely applicative solution of the same order of complexity as the best imperative solutions available. Without any programming tricks, it is shown that the Set Union, Intersection, and Difference problems do have applicative solutions comparable to the most widely known imperative versions. The complexity of the solution, or rather of one of the functions in it, is dependent upon the implementation's capability of destructively overwriting objects if that does not affect the referential transparency property of a purely applicative language. The methods presented might not work in all cases, but they clearly offer very efficient applicative solutions for many families of problems. The open issue is whether there exists a purely applicative solution of the same complexity for each best imperative algorithm known.
A pedestrian detection algorithm based on an analysis of the autocorrelation function of a seismic signal is proposed. The efficiency of this method in terms of detection and false alarm probabilities is shown. Approa...
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A pedestrian detection algorithm based on an analysis of the autocorrelation function of a seismic signal is proposed. The efficiency of this method in terms of detection and false alarm probabilities is shown. Approaches to reducing the complexity of the proposed algorithm are considered. A comparative study is made of the effects of the point sampling frequency and the method of calculating the autocorrelation function on the performance and complexity of the pedestrian detection algorithm.
AnalyseOn envisage le décodage pondéré, à vraisemblance maximale mot par mot, des codes q-aires linéaires en blocs. Tous les mots d’un tel code sont représentés par un diagramme en ...
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Analyse
On envisage le décodage pondéré, à vraisemblance maximale mot par mot, des codes q-aires linéaires en blocs. Tous les mots d’un tel code sont représentés par un diagramme en treillis, précisément défini grâce à la représentation du code par un polynôme à plusieurs indéterminées. On définit en fonction des probabilités a priori une « cote » associée aux chemins en les nœuds du treillis, qui est une fonction non croissante du niveau de nœud et telle que le mot qui atteint la plus grande cote au dernier niveau de nœud (cote finale) est le meilleur pour le critère de vraisemblance maximale. Le décodage peut alors utiliser l’algorithme de Viterbi mais, si la cote finale d’un chemin particulier est connue, les nœuds du treillis de cote supérieure peuvent seuls appartenir au meilleur chemin. De plus, dès que l’on trouve un chemin meilleur que le chemin initialement considéré, sa cote finale sert de nouveau seuil pour la cote des nœuds, au-dessous duquel il n’y a plus à en tenir compte. Le seuil initial adopté est la cote finale du chemin spécifié par le résultat de la décision ferme sur les k premiers symboles, k étant la dimension du code. On montre de plus que son calcul fait intervenir celui du syndrome. On examine la stratégie d’exploration des autres chemins. On montre qu’un classement des symboles par fiabilité décroissante rend minimal le volume de calcul nécessaire en moyenne. Pour terminer, des moyens de simplifier davantage au détriment de l’optimalité sont brièvement décrits.
With soaring work frequency and decreasing feature sizes, VLSI circuits with RLC parasitic components are more like analog circuits and should be carefully analyzed in physical design. However, the number of extracted...
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With soaring work frequency and decreasing feature sizes, VLSI circuits with RLC parasitic components are more like analog circuits and should be carefully analyzed in physical design. However, the number of extracted RLC components is typically too large to be analyzed efficiently by using present analog circuit simulators like SPICE. In order to speedup the simulations without error penalty, this paper proposes a novel methodology to compress the time-descritized circuits resulted from numerical integration approximation at every time step. The main contribution of the methodology is the efficient structure-level compression of DC circuits containing many current sources, which is an important complement to present circuit analysis theory. The methodology consists of the following parts: 1) An approach is proposed to delete all intermediate nodes of RL branches. 2) An efficient approach is proposed to compress and back-solve parallel and serial branches so that it is error-free and of linear complexity to analyze circuits of tree topology. 3) The Y to πtransformation method is used to error-free reduce and back-solve the intermediate nodes of ladder circuits with the linear complexity. Thus, the whole simulation method is very accurate and of linear complexity to analyze circuits of chain topology. Based on the methodology, we propose several novel algorithms for efficiently solving RLC-model transient power/ground (P/G) networks. Among them, EQU-ADI algorithm of linear-complexity is proposed to solve RLC P/G networks with mesh-tree or mesh-chain topologies. Experimental results show that the proposed method is at least two orders of magnitude faster than SPICE while it can scale linearly in both time- and memory-complexity to solve very large P/G networks.
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