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American Federation of Information Processing Societies
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Architecture and implementation of distributed data storage using Web Services, CORBA i PVM. W: Proceedings. PPAM 2003. Parallel Processing and Applied Mathematics. Fifth International Conference. Częstochowa, 7-10 September 2003. Architektura i implementacja rozproszonego zarządzania danymi używając systemów Web Services, CORBA i PVN.
PublicationProponujemy architekturę i jej implementację PVMWeb Cluster I/O przeznaczoną do rozproszonego zarządzania danymi. Dane zapisywane są w systemie Web Services z geograficznie odległych klientów lub przez wywołania CORBA z wewnątrz danego klastra co oferuje lepsze osiągi.
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Massively Parallel Processing Using Optional Interconnections
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International Conference on Information Processing and Management of Uncertainty
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Workshop on Job Scheduling Strategies for Parallel Processing
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International Conference on Parallel Processing and Applied Mathematics
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IFIP International Conference on Open Distributed Processing
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International Machine Vision and Image Processing Conference
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International Conference on Information, Communications and Signal Processing
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IEEE International Conference on Intelligent Processing Systems
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IEEE International Conference on Parallel Processing Workshops
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International Joint Conference on Natural Language Processing
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IEEE Symposium on Computational intelligence for Image Processing
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International Symposium on String Processing and Information Retrieval
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International Conference on Algorithms and Architectures for Parallel Processing
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IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
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International Conference on Recent Advances in Natural Language Processing
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IEEE International Conference on Acoustics, Speech and Signal Processing
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IEEE International Symposium on Parallel and Distributed Processing with Applications
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IEEE International Conference on Visual Communications and Image Processing
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International Symposium on 3D Data Processing Visualization and Transmission
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International Conference on Intelligent Text Processing and Computational Linguistics
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Pan-Sydney Area Workshop on Visual Information Processing
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International Conference on Parallel and Distributed Processing Techniques and Applications
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IEEE Symposium on Computational Intelligence in Image and Signal Processing
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International Conference on Advanced Technologies For Signal & Image Processing
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IEEE International Conference on Intelligent Computer Communication and Processing
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IEEE International Workshop on Neural Networks for Signal Processing
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Increasing accuracy of frequency estimation by decimation. W: [CD-ROM]EUSIPCO 2002. XI European Signal Processing Conference. Toulouse, France, September 3-6, 2002. [B.m.]: New Medias**2002 [4 s. 3 rys. bibliogr. 6 poz.] Page numbers in the proceedings: Volume 3, s. 135-138. Zwiększanie dokładności estymacji częstotliwości poprzez decymację.
PublicationArtykuł rozważa problem estymacji częstotliwości zaszumionego, sinusoidalne-go sygnału zespolonego. Częstotliwość wyznaczana jest w oparciu o autoregre-syjny model sygnału. W pracy wykazano, że wprowadzenie decymacji sygnału po-zwala na redukcję rzędu modelu autoregresyjnego, a tym samym powoduje znacz=ne zmniejszenie złożoności obliczeniowej metody.
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Reduction of parasitic pitch variations in archival musical recordings
PublicationA new method for reducing parasitic pitch variations in archival audio recordings is presented. The method is intended for analyzing movie soundtracks recorded in optical films. It utilizes image processing for calculating and reducing effects of tape shrinkage being one of the main reasons for parasitic pitch variations in audio accompanying moving images. As long as the film tape characteristics are known the new method can be...
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A self-optimization mechanism for generalized adaptive notch smoother
PublicationTracking of nonstationary narrowband signals is often accomplished using algorithms called adaptive notch filters (ANFs). Generalized adaptive notch smoothers (GANSs) extend the concepts of adaptive notch filtering in two directions. Firstly, they are designed to estimate coefficients of nonstationary quasi-periodic systems, rather than signals. Secondly, they employ noncausal processing, which greatly improves their accuracy and...
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A low complexity double-talk detector based on the signal envelope
PublicationA new algorithm for double-talk detection, intended for use in the acoustic echo canceller for voice communication applications, is proposed. The communication system developed by the authors required the use of a double-talk detection algorithm with low complexity and good accuracy. The authors propose an approach to doubletalk detection based on the signal envelopes. For each of three signals: the far-end speech, the microphone...
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A fast time-frequency multi-window analysis using a tuning directional kernel
PublicationIn this paper, a novel approach for time-frequency analysis and detection, based on the chirplet transform and dedicated to non-stationary as well as multi-component signals, is presented. Its main purpose is the estimation of spectral energy, instantaneous frequency (IF), spectral delay (SD), and chirp rate (CR) with a high time-frequency resolution (separation ability) achieved by adaptive fitting of the transform kernel. We...
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Multichannel self-optimizing narrowband interference canceller
PublicationThe problem of cancellation of a nonstationary sinusoidal interference, acting at the output of an unknown multivariable linear stable plant, is considered. No reference signal is assumed to be available. The proposed feedback controller is a nontrivial extension of the SONIC (self-optimizing narrowband interference canceller) algorithm, developed earlier for single-input, single-output plants. The algorithm consists of two loops:...
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Matrix-based robust joint fingerprinting and decryption method for multicast distribution of multimedia
PublicationThis paper addresses the problem of unauthorized redistribution of multimedia content by malicious users (pirates). The solution proposed here is a new joint fingerprinting and decryption method which meets the requirements for both imperceptibility and robustness of fingerprints and scalability in terms of design and distribution of fingerprinted multimedia content. The proposed method uses a simple block cipher based on matrix...
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Karhunen-Loeve-based approach to tracking of rapidly fading wireless communication channels
PublicationWhen parameters of wireless communication channels vary at a fast rate, simple estimation algorithms, such as weighted least squares (WLS) or least mean squares (LMS) algorithms, cannot estimate them with the accuracy needed to secure the reliable operation of the underlying communication systems. In cases like this, the local basis function (LBF) estimation technique can be used instead, significantly increasing the achievable...
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Reversible data hiding in encrypted DICOM images using sorted binary sequences of pixels
PublicationIn this paper, a novel reversible data hiding method for encrypted DICOM images is proposed. The method utilizes binary decomposition of the input data paired with a sorting process of the obtained binary sequences to ensure efficient data embedding in each predefined data block for specific most significant bit (MSB) planes while exploiting the properties of run-length encoding. The proposed scheme is lossless, and based on the...
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Adaptive identification of sparse underwater acoustic channels with a mix of static and time-varying parameters
PublicationWe consider identification of sparse linear systems with a mix of static and time-varying parameters. Such systems are typical in underwater acoustics (UWA), for instance, in applications requiring identi- fication of the acoustic channel, such as UWA communications, navigation and continuous-wave sonar. The recently proposed fast local basis function (fLBF) algorithm provides high performance when identi- fying time-varying systems....
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Finite-window RLS algorithms
PublicationTwo recursive least-squares (RLS) adaptive filtering algorithms are most often used in practice, the exponential and sliding (rectangular) window RLS algorithms. This popularity is mainly due to existence of low-complexity versions of these algorithms. However, these two windows are not always the best choice for identification of fast time-varying systems, when the identification performance is most important. In this paper, we...
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International Symposium on Audio, Video, Image Processing and Intelligent Applications
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IEEE International Parallel and Distributed Processing Symposium (was IPPS and SPDP)
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IEEE Symposium on Computational intelligence for Multimedia Signal and Vision Processing
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International Conference on Advanced Language Processing and Web Information Technology
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Euromicro International Conference on Parallel, Distributed and Network Based Processing
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Tuning of food wastes bioavailability as feedstock for bio-conversion processes by acoustic cavitation and SPC, SPS, or H2O2 as external oxidants
PublicationThe growing amount of food wastes makes them a suitable source for the generation of bioproducts through anaerobic digestion. Appropriate hydrolysis of the feedstock can enhance the efficiency of production of desired products. In this work, acoustic cavitation (AC) was employed as a pretreatment method to enhance hydrolysis stage by the modification of model (potato-based) food waste for increase in soluble chemical oxygen demand...
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Improving listeners' experience for movie playback through enhancing dialogue clarity in soundtracks
PublicationThis paper presents a method for improving users' quality of experience through processing of movie soundtracks. The dialogue clarity enhancement algorithms were introduced for detecting dialogue in movie soundtrack mixes and then for amplifying the dialogue components. The front channel signals (left, right, center) are analyzed in the frequency domain. The selected partials in the center channel signal, which yield high disparity...
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Edge-chromatic sum of trees and bounded cyclicity graphs
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Maximum vertex occupation time and inert fugitive: recontamination does help [online]
PublicationRozważamy problem przeszukania danego grafu prostego G w celu przechwycenia niewidocznego i leniwego uciekiniera. Parametrem optymalizacyjnym, który minimalizujemy jest maksymalny czas (liczba tur strategii przeszukiwania), podczas których wierzchołek może być strzeżony (okupowany przez strażnika). Strategia monotoniczna to taka, która nie dopuszcza sytuacji, w której uciekinier dociera do wierzchołka, który wcześniej został oczyszczony....
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An examination of the effect of ethanol–gasoline blends' physicochemical properties on emissions from a light-duty spark ignition engine
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Antimicrobial properties of pristine and Pt-modified titania P25 in rotating magnetic field conditions
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