This paper proposes a multiresolution model of auditory excitation scalogram and applies it to the problem of audio signal transform and coding techniques. The model uses wavelet packet (WP) transform for time-frequen...
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ISBN:
(纸本)9781424415144
This paper proposes a multiresolution model of auditory excitation scalogram and applies it to the problem of audio signal transform and coding techniques. The model uses wavelet packet (WP) transform for time-frequency decomposition of the input signal. The WP tree structure selection is based on an optimality criterion formulated to minimize entropy based cost functions. From applications' point of view, multiresolution model of the auditory excitation scalogram based on adaptive to the signal WP is used to achieve low bit rate coding of digital audio signals with minimum perceived loss of quality in reconstructed signal.
We develop Web-based typing software in order to collect keystroke data on a LAN, and investigate several characteristics of keystroke dynamics in Japanese free text typing. We perform experiments on 112 subjects, rep...
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We develop Web-based typing software in order to collect keystroke data on a LAN, and investigate several characteristics of keystroke dynamics in Japanese free text typing. We perform experiments on 112 subjects, representing three groups according to the number of letters they could type within five minutes. In this experiment, we extract the feature indices from the keystroke timing for each single letter and for two-letter combinations composed of consonant and vowel pairs in Japanese text. Based on an identification method using a weighted Euclidean distance, personal identification for the three groups is evaluated and its high performance is confirmed in proportion to the typing level of the group.
Short distance optical interconnections, on-printed circuit boards, on-backplanes, and even on-chip, are a promising solution for replacing copper interconnections in future Data Center and HPC systems. Since photonic...
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ISBN:
(纸本)9781479965342
Short distance optical interconnections, on-printed circuit boards, on-backplanes, and even on-chip, are a promising solution for replacing copper interconnections in future Data Center and HPC systems. Since photonic technology introduces new network building blocks, topology design for all the packaging levels should be reconsidered. This paper focuses on the on-board level of the packaging hierarchy, and proposes lay-out strategies for optical interconnection networks on optical printed circuit boards (OPCBs), based on direct topology families (tori, meshes and fully connected networks). We also describe a methodology for designing OPCBs given a set of input parameters, including building blocks specifications as well as traffic demands. The onboard topology design methodology generates all the feasible designs within the topology families examined, following our proposed OPCB lay-out approach, and selects the optimal designs based on specific optimization criteria.
Revisiting web pages is common when using web browsers. Commercial browsers provide some revisitation tools for users, for example, back and forward buttons, bookmarks and history lists. However, these tools still hav...
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The objective of this research is the presentation of a neural network capable of solving complete nonlinear algebraic systems of n equations with n unknowns. The proposed neural solver uses the classical back propaga...
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The objective of this research is the presentation of a neural network capable of solving complete nonlinear algebraic systems of n equations with n unknowns. The proposed neural solver uses the classical back propagation algorithm with the identity function as the output function, and supports the feature of the adaptive learning rate for the neurons of the second hidden layer. The paper presents the fundamental theory associated with this approach as well as a set of experimental results that evaluate the performance and accuracy of the proposed method against other methods found in the literature.
We study the complexity of the Hitting Set problem in set systems (hypergraphs) that avoid certain sub-structures. In particular, we characterize the classical and parameterized complexity of the problem when the Vapn...
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A crucial point on the delivery of multicast content over mobile multicast networks is the utilization of Forward Error Correction (FEC) codes on the application layer (AL-FEC) so as to introduce robustness against ar...
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ISBN:
(纸本)9781479930845
A crucial point on the delivery of multicast content over mobile multicast networks is the utilization of Forward Error Correction (FEC) codes on the application layer (AL-FEC) so as to introduce robustness against arbitrary erasures on different recipients without the need of inefficient common error control methods based on data retransmission. FEC is a feedback free error recovery method where the sender introduces redundant data in advance with the source data enabling the recipients to recover from different arbitrary packet losses. The main issue on the efficient application of AL-FEC protection is the adaptation of the introduced redundancy to the current network conditions, in order to avoid network resources wastage ensuring at the same time sufficient transmission robustness. Based on this, in this work we present an adaptive weighted online algorithm aiming at the efficient application of RaptorQ AL-FEC codes over mobile multicast services. The proposed algorithm adapts the introduced AL-FEC transmission overhead exploiting at first the reception reports ability defined by several mobile multicast standards and thereafter the performance properties of the newly introduced RaptorQ FEC codes. We introduce the competitive framework of the efficient application of AL-FEC protection over mobile multicast networks, in the context of which, we design and analyze the adaptive online weighted algorithm and we further provide a series of simulation results to analyze the performance of the proposed scheme.
Providing a global understanding of privacy is crucial, because everything is connected. Nowadays companies are providing their customers with more services that will give them more access to their data and daily acti...
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The paper presents a voice conversion framework that can be used in real-time applications. The conversion technique is based on hybrid (deterministic/stochastic) parametric speech representation. The conversion appro...
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The paper presents a voice conversion framework that can be used in real-time applications. The conversion technique is based on hybrid (deterministic/stochastic) parametric speech representation. The conversion approach has been tested in two modifications for narrow-band and wide-band speech signals. Though the real-time requirement adds some significant limitations (frame by frame processing) the approach provides high quality of the reconstructed speech and recognizability of the target speaker's identity due to improved feature mapping. The proposed solution is embedded in a mobile communication system as an entertainment service.
This paper discusses the frequency to extract RLC values from interconnects. The frequency used for RLC extraction affects the accuracy of interconnect characterization, and hence careful determination of extraction f...
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This paper discusses the frequency to extract RLC values from interconnects. The frequency used for RLC extraction affects the accuracy of interconnect characterization, and hence careful determination of extraction freqnency is crucial. We propose a representative frequency for RLC extraction based on the interconnect length. We show that the proposed method enables accurate analysis of the waveform at the far-end of intercounects. We verify that the extraction at the proposed frequency provides the m a t accurate transition waveform against various input signals and interconnect structures in digital circuits.
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