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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

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A security domain isolation and data exchange system based on VMM

A security domain isolation and data exchange system based o...

引用

international conference on signal processing and Communication Systems, ICSPCS

作者： GuiShan Dong ZhengJun Liu Dong Zhao School of Computer University of Electronic Science and Technology of China In ChengDu China Westone ltd of CETC No. 30th Group ChengDu China

This paper discusses the network gatekeeper technology, and proposes a security domain isolation and data exchange model based on virtual machine monitor (VMM). Then we give up an implement framework of this model bas... 详细信息

关键词： data security Internet Switches Information security Protocols Isolation technology Virtual machine monitors Communication system security Computer buffers Communication system control

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The influence of source overlapping on correlation matrix and activity index

The influence of source overlapping on correlation matrix an...

引用

international conference on signals, Circuits and Systems, SCS

作者： Rok Istenič Damjan Zazula Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

ISBN: (纸本)9781424443970;9781424443987

In this paper, the influence of overlapping of pulse signal sources on their correlation matrix and activity index is studied. The activity index is defined as a Mahalanobis distance of signal observations. Influences of source overlapping on activity index were simulated for a different number of overlapping sources and degrees of their overlapping. The findings lead to an improved model of activity index, which can support a more reliable estimation of the number of active sources in convolutive mixtures of pulse sources.

关键词： Brain modeling Biomedical signal processing data models Circuits and systems Computer science Pulse circuits Computational modeling Sensor systems Speech processing signal processing

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Optimal Transform of Multichannel Evoked Neural signals Using a Video Compression Algorithm

Optimal Transform of Multichannel Evoked Neural Signals Usin...

引用

international conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Chen Han Chung Liang-Gee Chen Yu-Chieh Kao Fu-Shan Jaw DSP/IC Design Laboratory Graduate Institute of Electronics engineering National Taiwan University Taipei Taiwan Laboratory of Electrophysiology Institute of Biomedical Engineering National Taiwan University Taipei Taiwan

One of the most important problems in the field of biomedical engineering is how to record a multichannel neural signal. This problem arises because recording produces a large amount of data that must be reduced to transfer it through wireless transmission, and data reduction must be made without compromising data quality. Video compression technology is very important in the field of signal processing, and there are many similarities between multichannel neural signals and video signals. Therefore, we use motion vectors (MVs) to reduce the redundancy between successive video frames and successive channels. We also test what transform for neural signal compression is best. Our novel signal compression method gives a signal-to-noise ratio (SNR) of 25 db and compresses data to 5% of the original signal.

关键词： Video compression signal processing algorithms signal processing Biomedical signal processing Video recording Biomedical engineering Video signal processing Neurons Algorithm design and analysis Compression algorithms

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Random-valued impulse noise detector for switching median filters using edge detectors

Random-valued impulse noise detector for switching median fi...

引用

international conference on signal processing and Communication Systems, ICSPCS

作者： Robert Grou-Szabo Tadashi Shibata Department of Frontier Informatics Graduate School of Frontier Science University of Tokyo Bunkyo Tokyo Japan

This paper talks about a random impulse-noise detection scheme that was developed to be used as the first stage of a switching median filter. First by using an edge detector with a dynamic threshold, hidden artifacts are revealed by gradually changing the threshold of the edge detector. Then by applying a series of masks to the edge maps, the artifacts are pinpointed and tabulated. By analyzing the statistical data, the intensity of the random impulse noise corrupting a pixel is estimated. This information can then be passed on to an adaptive noise reduction filter that can eliminate it with a correlated intensity.

关键词： Detectors Filters Image edge detection Colored noise Gaussian noise Noise reduction Photodiodes Pixel Informatics data analysis

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SFBC assisted IQ imbalance estimation and compensation in MIMO-OFDM systems

SFBC assisted IQ imbalance estimation and compensation in MI...

引用

international conference on signal processing and Communication Systems, ICSPCS

作者： Jiang Chang I-Tai Lu Shahrokh Nayeb Nazar Afshin Haghighat Department of Electrical and Computer Engineering Polytechnic Institute of New York University Brooklyn NY USA InterDigital Company Limited Montreal QUE Canada

An efficient IQ imbalance estimation and compensation scheme for MIMO-OFDM systems is proposed. The scheme exploits the inherent data structure imposed by space frequency block code (SFBC), for lowering the implementation complexity. As such, no further requirements are laid on the preamble design. The proposed algorithm can be easily extended to the MIMO-OFDM systems using STBC or with frequency-selective IQ imbalance. Simulation results demonstrate the accuracy and effectiveness of the proposed IQ imbalance estimation scheme in practical MIMO-OFDM scenarios such as LTE.

关键词： OFDM MIMO Wireless LAN Block codes Wireless communication Transmitters Frequency estimation USA Councils data structures Broadband communication

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Detection of Respiratory Rhythm from Photoplethysmography signal Using Morphological Operators

Detection of Respiratory Rhythm from Photoplethysmography Si...

引用

international conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Jin Li Jie Jin Xi'an Jiaotong University

A new approach using morphological operators was proposed to detect the respiratory rhythm from the photoplethysmography (PPG) signal. In the study, photoplethysmograms were obtained from 5 healthy adult volunteers when they respired 6, 10, 15 times per minute. The reference respiratory signal was obtained by transthoracic impedance method simultaneously. Each PPG signal was processed using morphological operators to reduce the low frequency baseline drift and extract the peak envelope of the corrected signal first. Then the algorithm detected trend change of the pre-processed signal and obtained the rhythm of respiration. The result with a false rate of 4.52% showed that our technique had a good performance on detection of respiratory rhythm from PPG signal. The low computational complexity of the algorithm may make it easy to be implemented on MCU for real-time processing. More experimental data is necessary to improve the reliability and robustness of the algorithm.

关键词： Rhythm signal processing algorithms signal processing Biomedical signal processing Medical signal detection Biomedical engineering Frequency Change detection algorithms Computational complexity Monitoring

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A gesture perception algorithm using compact one-dimensional representation of spatio-temporal motion-field patches

A gesture perception algorithm using compact one-dimensional...

引用

international conference on signal processing and Communication Systems, ICSPCS

作者： Ruihan Bao Tadashi Shibata Department of Electronic Engineering University of Tokyo Tokyo Japan Department of Electrical Engineering and Information System University of Tokyo Tokyo Japan

In this paper we propose a gesture perception algorithm using compact one-dimensional representation of spatio-temporal motion-field patches. At the learning stage, motion-field patches are randomly extracted and stored as templates. When generating feature vectors for video sequences, we compare stored templates with video, calculate maximum similarities and save those values as elements of feature vectors. In order to reduce the complexity of patch calculation, we project the spatio-temporal motion data in patches both in space and time spans. Preliminary gesture perception experiments were conducted and promising results are obtained despite its simplified procedures.

关键词： Video sequences Humans Robustness Image motion analysis Feature extraction Hidden Markov models Pattern recognition Information systems data mining Handicapped aids

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An invisible hyperlink marker

An invisible hyperlink marker

引用

international conference on signal processing and Communication Systems, ICSPCS

作者： Koichi Kamijo Masateru Minami Hiroyuki Morikawa IBM Research Tokyo Research Laboratory Kanagawa Japan Department of Advanced Interdisciplinary Studies Graduate School of Engineering University of Tokyo Tokyo Japan Research Center of Advanced Science and Technology University of Tokyo Tokyo Japan

In this paper, we propose an invisible hyperlink marker, by which users can easily get information related to articles in paper media, similar to hyperlinks in the Web. Users get information using a device such as a mobile phone by illuminating the marker with a blacklight and taking its photo. A new skipbit coding method makes it possible to embed information even in articles that absorb or repel the invisible ink. Experimental results proved that information can be extracted from the markers printed on top of materials such as newspapers and brochures in about one second using a prototype mobile phone.

关键词： Mobile handsets Ink data mining Prototypes

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Experiences with adaptive statistical models for biosignals in daily life

Experiences with adaptive statistical models for biosignals ...

引用

international conference on Affective Computing and Intelligent Interaction and Workshops, ACII

作者： Stijn de Waele Gert-Jan de Vries Mark Jäger Philips Research Eindhoven Netherlands

We discuss the merits of adaptive statistical models for biosignals in a daily life context. processing of this type of signals poses a number of challenges. First, it is clear that an adaptive model is needed to tailor for the differences in physiology between individuals, as well as adapt to someone's current physiological state. Second, in a daily life setting we use unobtrusive measurement devices, which will lead to reduced signal quality compared to the laboratory setting. Third, low-power portable sensors allow for only limited data storage and data transmission. Two techniques to address these challenges are discussed in detail: the usage of the cumulative histogram and parametric models. We show applications to electroencephalogram (EEG), electrocardiogram (ECG) and skin conductance (SC) signals and we advise on how to obtain the most reliable results.

关键词： Context modeling signal processing Physiology Laboratories Memory data communication Histograms Parametric statistics Electroencephalography Electrocardiography

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Vowel recognition from articulatory position time-series data

Vowel recognition from articulatory position time-series dat...

引用

international conference on signal processing and Communication Systems, ICSPCS

作者： Jun Wang Ashok Samal Jordan R. Green Tom D. Carrell Department of Computer Science & Engineering University of Nebraska Lincoln Lincolnshire NE USA Department of Special Education & Communication Disorders University of Nebraska Lincoln Lincolnshire NE USA

A new approach of recognizing vowels from articulatory position time-series data was proposed and tested in this paper. This approach directly mapped articulatory position time-series data to vowels without extracting articulatory features such as mouth opening. The input time-series data were time-normalized and sampled to fixed-width vectors of articulatory positions. Three commonly used classifiers, neural network, support vector machine and decision tree were used and their performances were compared on the vectors. A single speaker dataset of eight major English vowels acquired using Electromagnetic Articulograph (EMA) AG500 was used. Recognition rate using cross validation ranged from 76.07% to 91.32% for the three classifiers. In addition, the trained decision trees were consistent with articulatory features commonly used to descriptively distinguish vowels in classical phonetics. The findings are intended to improve the accuracy and response time of a real-time articulatory-to-acoustics synthesizer.

关键词： Speech recognition Decision trees Testing data mining Feature extraction Mouth Classification tree analysis Neural networks Support vector machines Support vector machine classification

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