We present a quite simple, fast and practical algorithm to find a short cyclic tour that visits a set of points distributed on the plane. The algorithm runs in O(n log n) time with O(n) space, and is simple enough to ...
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In this paper, a complexity scalable audio coding algorithm based on wavelet packet decomposition is proposed. The incomplete wavelet packet decomposition with the property of complexity scalability to the signals is ...
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In this paper, a complexity scalable audio coding algorithm based on wavelet packet decomposition is proposed. The incomplete wavelet packet decomposition with the property of complexity scalability to the signals is described in this paper. The zerotree coding of the coefficients is implemented which uses the characteristics of human ears and the self-similarity among different subbands wavelet coefficients. This algorithm cannot only be used to achieve transparent quality reconstruction audio at low bit rate, but also enable to support complexity scalable coding and multirate scalable coding. Audio encoding and decoding can be realized in real-time utilizing this algorithm on computers with different levels of computational power. The experimental results indicate that this algorithm is of practical value to the real-time multimedia applications.
It is well known that differences between training and testing environments seriously affect speech recognition accuracy. Several environment adaptation techniques have been proposed for eliminating environmental diff...
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It is well known that differences between training and testing environments seriously affect speech recognition accuracy. Several environment adaptation techniques have been proposed for eliminating environmental difference, and they are effective when the adaptation data in the testing environment is available beforehand. However, testing environments are not always known beforehand. Therefore, a new framework, which uses testing utterances themselves for adaptation, is effective to cope with such variation. In this paper, a method of testing environment adaptation is proposed, which gradually learns the features of testing environment as the testing procedure, and does not need to get some testing samples beforehand.
This paper describes a research project on "Control of electromagnetic environment in low frequency band less than 100 kHz" under the financial support of Japan Society of the Promotion of Science (JSPS). Th...
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This paper describes a research project on "Control of electromagnetic environment in low frequency band less than 100 kHz" under the financial support of Japan Society of the Promotion of Science (JSPS). The goal of this research project is in the analysis of harmonic generation mechanism and the effective suppression of harmonics in the field of power electronics.
We report on a model checking case study of an industrial medium access protocol for wireless ATM. Since the protocol is too large to be verified by any of the existing checkers as a whole, the verification exploits t...
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We report on a model checking case study of an industrial medium access protocol for wireless ATM. Since the protocol is too large to be verified by any of the existing checkers as a whole, the verification exploits the layered and modular structure of the protocol's SDL specification and proceeds in a bottom-up, compositional way. The compositional arguments are used in combination with abstraction techniques to further reduce the state space of the system. The verification is primarily aimed at debugging the system. After correcting the specification step by step and validating various untimed and time-dependent properties, a model of the whole control component of the medium-access protocol is built and verified. The significance of the case study is in demonstrating that verification tools can handle complex properties of a model as large as shown.
In this paper, we present an open and safe nested transaction model. We discuss the concurrency control and recovery algorithms for our model. Our nested transaction model uses the notion of a recovery point subtransa...
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In this paper, we present an open and safe nested transaction model. We discuss the concurrency control and recovery algorithms for our model. Our nested transaction model uses the notion of a recovery point subtransaction in the nested transaction tree. It incorporates a prewrite operation before each write operation to increase the potential concurrency. Our transaction model is termed `open and safe' as prewrites allow early reads (before writes are performed on disk) without cascading aborts. The systems restart and buffer management operations are also modeled as nested transactions to exploit possible concurrency during restart. The concurrency control algorithm proposed for database operations is also used to control concurrent recovery operations. We have given a snapshot of complete transaction processing, data structures involved and, building the restart state in case of crash recovery.
The coupling of InAs QDs emission to the two dimensional photonic crystal defect cavity has been demonstrated for the first time and a narrow filtered emission linewidth could be observed. We describe the emission fro...
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The coupling of InAs QDs emission to the two dimensional photonic crystal defect cavity has been demonstrated for the first time and a narrow filtered emission linewidth could be observed. We describe the emission from 2D photonic crystals that contain an InAs QDs active layer. The epitaxial layers were grown on [001] GaAs by molecular beam epitaxy.
This paper presents an approach to estimating the parameters of continuous density HMMs for visual speech recognition. One of the key issues of image-based visual speech recognition is normalization of lip location an...
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This paper presents an approach to estimating the parameters of continuous density HMMs for visual speech recognition. One of the key issues of image-based visual speech recognition is normalization of lip location and lighting conditions prior to estimating the parameters of HMMs. We presented a normalized training method in which the normalization process is integrated in the model training. This paper extends it for contrast normalization in addition to average-intensity and location normalization. The proposed method provides a theoretically-well-defined algorithm based on a maximum likelihood formulation, hence the likelihood for the training data is guaranteed to increase at each iteration of the normalized training. Experiments on the M2VTS database show that the recognition performance can be significantly improved by the normalized training.
This paper presents a low memory implementation of efficient lossy volumetric medical image compression using the set partitioning in hierarchical trees (SPIHT) algorithm. The coding units in this three-dimensional wa...
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This paper presents a low memory implementation of efficient lossy volumetric medical image compression using the set partitioning in hierarchical trees (SPIHT) algorithm. The coding units in this three-dimensional wavelet transform and compression method are short sequences of horizontal stripes cut from the sequence of slices in the volumetric image. As the compression degree increases, the boundaries between adjacent coding units became increasingly visible. Unlike video, where image frames are viewed under dynamic conditions, the volume image is examined under static conditions and must not exhibit such boundary artifacts. In order to eliminate them, we utilize overlapping and averaging both at the intra-slice and inter-slice boundaries between adjacent and successive stripe sequences. Our low memory implementation smooths out considerably the variation in mean squared error among different slices and suffers only an insignificant loss in performance from that of a full memory implementation.
We report a tunable red vertical cavity surface emitting laser (VCSEL) with a flexible micro-electro-mechanical (MEM) top distributed Bragg reflector. The peak emission wavelength is electrically tunable over a range ...
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ISBN:
(纸本)0780366980
We report a tunable red vertical cavity surface emitting laser (VCSEL) with a flexible micro-electro-mechanical (MEM) top distributed Bragg reflector. The peak emission wavelength is electrically tunable over a range of 15 nm from 644 to 659 nm.
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