Relevant bibliographies by topics / Multi-channel SVM

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  4. Conference papers

Academic literature on the topic 'Multi-channel SVM'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Multi-channel SVM"

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谢, 荣生. "A Robust Image Zero-Watermarking Algorithm Based on Multi-Channel and SVM." Journal of Image and Signal Processing 09, no. 01 (2020): 65–70. http://dx.doi.org/10.12677/jisp.2020.91008.

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Peruffo Minotto, Vicente, Claudio Rosito Jung, and Bowon Lee. "Multimodal Multi-Channel On-Line Speaker Diarization Using Sensor Fusion Through SVM." IEEE Transactions on Multimedia 17, no. 10 (2015): 1694–705. http://dx.doi.org/10.1109/tmm.2015.2463722.

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Kang, Ji-yeon, Sung-yoon Cho, and Hyun-woo Oh. "Sleep Stage Evaluation System Based on Multi-Channel Sensors Using Kernel SVM." Journal of Korean Institute of Communications and Information Sciences 46, no. 1 (2021): 154–61. http://dx.doi.org/10.7840/kics.2021.46.1.154.

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Fawad, Muhammad Jamil Khan, MuhibUr Rahman, Yasar Amin, and Hannu Tenhunen. "Low-Rank Multi-Channel Features for Robust Visual Object Tracking." Symmetry 11, no. 9 (2019): 1155. http://dx.doi.org/10.3390/sym11091155.

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Kernel correlation filters (KCF) demonstrate significant potential in visual object tracking by employing robust descriptors. Proper selection of color and texture features can provide robustness against appearance variations. However, the use of multiple descriptors would lead to a considerable feature dimension. In this paper, we propose a novel low-rank descriptor, that provides better precision and success rate in comparison to state-of-the-art trackers. We accomplished this by concatenating the magnitude component of the Overlapped Multi-oriented Tri-scale Local Binary Pattern (OMTLBP), R
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Xiong, Jiping, Lisang Cai, Fei Wang, and Xiaowei He. "SVM-Based Spectral Analysis for Heart Rate from Multi-Channel WPPG Sensor Signals." Sensors 17, no. 3 (2017): 506. http://dx.doi.org/10.3390/s17030506.

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Lin, Bi, Xie Wei, and Zhao Junjie. "Automatic recognition and classification of multi-channel microseismic waveform based on DCNN and SVM." Computers & Geosciences 123 (February 2019): 111–20. http://dx.doi.org/10.1016/j.cageo.2018.10.008.

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Xi, Chenbo, Guangyou Yang, Lang Liu, Hongyuan Jiang, and Xuehai Chen. "A Refined Composite Multivariate Multiscale Fluctuation Dispersion Entropy and Its Application to Multivariate Signal of Rotating Machinery." Entropy 23, no. 1 (2021): 128. http://dx.doi.org/10.3390/e23010128.

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In the fault monitoring of rotating machinery, the vibration signal of the bearing and gear in a complex operating environment has poor stationarity and high noise. How to accurately and efficiently identify various fault categories is a major challenge in rotary fault diagnosis. Most of the existing methods only analyze the single channel vibration signal and do not comprehensively consider the multi-channel vibration signal. Therefore, this paper presents Refined Composite Multivariate Multiscale Fluctuation Dispersion Entropy (RCMMFDE), a method which extracts the recognition information of
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FUTAMATA, Masachika, Kentaro NAGATA, Masafumi YAMADA, and Kazushige MAGATANI. "1P1-G04 Hand Motion Recognition System by using SVM and Multi-channel Electrodes(Non-contact Sensing)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2011 (2011): _1P1—G04_1—_1P1—G04_2. http://dx.doi.org/10.1299/jsmermd.2011._1p1-g04_1.

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Ye, Qing, Shaohu Liu, and Changhua Liu. "A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals." Sensors 20, no. 15 (2020): 4300. http://dx.doi.org/10.3390/s20154300.

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Collecting multi-channel sensory signals is a feasible way to enhance performance in the diagnosis of mechanical equipment. In this article, a deep learning method combined with feature fusion on multi-channel sensory signals is proposed. First, a deep neural network (DNN) made up of auto-encoders is adopted to adaptively learn representative features from sensory signal and approximate non-linear relation between symptoms and fault modes. Then, Locality Preserving Projection (LPP) is utilized in the fusion of features extracted from multi-channel sensory signals. Finally, a novel diagnostic m
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Zhu, Hou Quan, Rui Ming Fang, and Chang Qing Peng. "The Application of ICA-SVM Method for Identifying Multiple Faults in Asynchronous Motors." Applied Mechanics and Materials 483 (December 2013): 405–8. http://dx.doi.org/10.4028/www.scientific.net/amm.483.405.

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Vibration signal of asynchronous motors are detected with multiple sensors and used to identifying multiple faults of motors in this paper. Independent components analysis method (ICA) is applied to compress measurements from several channels into a smaller amount of channel combinations and separate related vibration signal from interfering vibration sources, and support vector machine (SVM) based multi-class classifiers are used to identify multiple faults of asynchronous motors. Adventures of the proposed methods are that they are data-based and are not necessary to build an analytical mode
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Dissertations / Theses on the topic "Multi-channel SVM"

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Shi, Feng. "Local Part Model for Action Recognition in Realistic Videos." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31147.

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This thesis presents a framework for automatic recognition of human actions in uncontrolled, realistic video data such as movies, internet and surveillance videos. In this thesis, the human action recognition problem is solved from the perspective of local spatio-temporal feature and bag-of-features representation. The bag-of-features model only contains statistics of unordered low-level primitives, and any information concerning temporal ordering and spatial structure is lost. To address this issue, we proposed a novel multiscale local part model on the purpose of maintaining both structure i
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Dhillon, Harpreet Singh. "Optimal Sum-Rate of Multi-Band MIMO Interference Channel." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34766.

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While the channel capacity of an isolated noise-limited wireless link is well-understood, the same is not true for the interference-limited wireless links that coexist in the same area and occupy the same frequency band(s). The performance of these wireless systems is coupled to each other due to the mutual interference. One such wireless scenario is modeled as a network of simultaneously communicating node pairs and is generally referred to as an interference channel (IC). The problem of characterizing the capacity of an IC is one of the most interesting and long-standing open problems in inf
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Gunyan, Scott Nathan. "An Examination into the Statistics of the Singular Vectors for the Multi-User MIMO Wireless Channel." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd539.pdf.

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Melle, Christophe, David Chaimbault, Fabien Peleau, and Alain Karas. "A Tri-Band L, S, C Prime Focus Feed: Concept, Design and Performance." International Foundation for Telemetering, 2013. http://hdl.handle.net/10150/579680.

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ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV<br>The flight test mission services need higher data rates due to increased system complexity and the need for more accurate, higher rate, and better data acquisition. The existing L or S band frequency spectrum allocation was a limiting factor to meet this increased data rate requirement. The World Radio-communication Conference (WRC 2007) attributed new additional frequency spectrum allocations in
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Fernandes, Carlos EstevÃo Rolim. "MÃtodos estatÃsticos multi-percursos para a identificaÃÃo cega de canais da fonte de aplicaÃÃes Ãs comunicaÃÃes sem fio." Universidade Federal do CearÃ, 2008. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2136.

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Laboratoire I3S/CNRS<br>Os sistemas de telecomunicaÃÃes atuais oferecem servios que demandam taxas de transmissÃo muito elevadas. O problema da identificaÃÃo de canal aparece nesse contexto com um problema da maior importÃncia. O uso de tÃcnicas cegas tem sido de grande interesse na busca por um melhor compromisso entre uma taxas binÃria adequada e a qualidade da informaÃÃo recuperada. Apoiando-se em propriedades especiais dos cumulantes de 4a ordem dos sinais à saÃda do canal, esta tese introduz novas ferramentas de processamento de sinais com aplicaÃÃes em sistemas de comunicaÃÃo rÃdio-mÃvei
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Gibilini, Daniel. "Aplicação de técnicas de inteligência artificial na alocação dinâmica de canais em redes sem fio." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-04092006-154457/.

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Nos últimos anos, as redes de comunicação móveis se tornaram de fundamental importância para a infraestrutura dos sistemas de comunicação. Uma das áreas de maior crescimento é a computação móvel. Realizada através de sinais de rádio, a quantidade de canais disponíveis raramente é suficiente para atender a crescente demanda. Este trabalho apresenta uma solução para a questão da alocação de canais, um tópico desafiador dentro da área de redes móveis. A implementação de alocação dinâmica com uso de técnicas computacionais clássicas melhora a utilização dos recursos disponíveis,mas necessita de aj
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Barriquello, Carlos Henrique. "Alocação de canais para roteamento geográfico em redes de sensores e atuadores sem fio empregando a teoria dos jogos." Universidade Federal de Santa Maria, 2012. http://repositorio.ufsm.br/handle/1/3670.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Wireless sensor and actuator networks are expected to grow quickly in size due to the decreasing cost of nodes. For such large scale networks, the geographic routing algorithm is a suitable approach. It finds a route for the packet based on the positions of the nodes. However, it often finds longer routes than the shortest possible ones, increasing the probability of packet loss. Moreover, the low cost wireless devices usually operate in the unlicensed bands, which is a crowded portion of the spectrum where several networks may be
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Junior, Renato Ferreira Fernandes. "Protocolo assíncrono de acesso ao meio iniciado pelo receptor para redes de sensores sem fio." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-13122018-161212/.

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A internet das coisas é considerada um novo sistema de comunicação que promete otimizar e melhorar diferentes áreas de aplicação com base em módulos sensores e objetos unicamente interligados através da internet. Em aplicações de redes de sensores sem fio em larga escala, as redes possuem características peculiares, como grande quantidade de módulos sensores de baixa potência, consumo limitado e perdas de comunicação intermitentes. Estas redes precisam operar com protocolos escaláveis e eficientes em termos de consumo de energia. Desta forma, esta tese propõe um protocolo multicanal assíncrono
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Almeida, Andrà Lima FÃrrer de. "Modelagem tensorial e processamento de sinais por sistemas de comunicaÃÃes de redes." Universidade Federal do CearÃ, 2007. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2131.

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CoordenaÃÃo de AperfeiÃoamento de NÃvel Superior<br>Em diversas aplicaÃÃes do processamento de sinais em sistemas de comunicaÃÃo sem-fio, o sinal recebido à de natureza multidimensional, possuindo uma estrutura algÃbrica multilinear. Neste contexto, a decomposiÃÃo tensorial PARAFAC tem sido utilizada em vÃrios trabalhos ao longo dos Ãltimos seis anos. Observa-se, entretanto, que decomposiÃÃes tensoriais generalizadas sÃo necessÃrias para modelar uma classe mais ampla de sistemas de comunicaÃÃo, caracterizada pela presenÃa de estruturas de transmissÃo mais complexas, por modelos de canal mais r
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Samui, Pijush. "Geotechnical Site Characterization And Liquefaction Evaluation Using Intelligent Models." Thesis, 2009. http://hdl.handle.net/2005/628.

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Site characterization is an important task in Geotechnical Engineering. In situ tests based on standard penetration test (SPT), cone penetration test (CPT) and shear wave velocity survey are popular among geotechnical engineers. Site characterization using any of these properties based on finite number of in-situ test data is an imperative task in probabilistic site characterization. These methods have been used to design future soil sampling programs for the site and to specify the soil stratification. It is never possible to know the geotechnical properties at every location beneath an actua
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Book chapters on the topic "Multi-channel SVM"

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Yu, Renping, Liang Xiao, Zhihui Wei, and Xuan Fei. "Automatic Segmentation of White Matter Lesions Using SVM and RSF Model in Multi-channel MRI." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21978-3_57.

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"Iterative Channel Estimation and Multi-stream Detection for SDM-OFDM." In MIMO-OFDM for LTE, Wi-Fi and WiMAX. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470711750.ch17.

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Kumar Minchula, Vinodh, and Gottapu Sasibhushana Rao. "Performance Analysis of Multiple Antenna Systems with New Capacity Improvement Algorithm for MIMO Based 4G/5G Systems." In Antenna Systems [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98883.

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For a time varying channel, the channel capacity is determined by the Channel State Information (CSI) or its fading distribution at a transmitter or receiver. If CSI is perfectly known at both the transmitter and receiver, then the transmitter can adapt to its optimal transmission strategy (i.e., optimal antenna selection by power allocation scheme) relative to its instantaneous channel state for capacity enhancement. In the case where the channel information is not available at the transmitter (No CSIT), the transmitted power has to be distributed equally (i.e., uniform power allocation) between the transmitting antennas to improve the channel capacity. The IWFA (Iterative water filling allocation) strategy therefore allocates power to those spatial channels with positive non-zero singular values i.e. good quality channels and discards the lower eigenmodes channels resulting in maximum capacity in MIMO systems for perfect CSIT. In this chapter, the performance analysis of Multi Antenna systems under ICSIT/ICSIR, Perfect CSIT, No CSIT channel conditions have been implemented and a novel adaptive power allocation algorithm (SVD-based IWFAA) is considered to improve the spectral efficiency of next generation wireless MIMO communication (4G–5G). The algorithm considered is more efficient at high noise levels (low SNRs) under Perfect CSIT conditions because the strongest channel eigenmodes are allocated more power.
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Kagawa, Keiichiro. "Custom CMOS Image Sensor with Multi-Channel High-Speed Readout Dedicated to WDM-SDM Indoor Optical Wireless LAN." In Advanced Wireless LAN. InTech, 2012. http://dx.doi.org/10.5772/37286.

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Liber, Arkadiusz. "Algorithmic Methods of Hidden Communication Through Buy Orders and Sales on International Stock Exchanges." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210006.

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This paper presents the results of the author’s research on the design of hidden communication algorithms employed in the context of global exchange services. The solutions proposed enable communication between trading participants without use of such traditional communication routes as email, telephone, instant messaging, discussion forums, etc. The solutions described are based on modification of entries in the exchange tables of orders and transactions. Through modification of the entries associated with share buy and sell orders, a secret channel can be constructed through which hidden messages can be sent. Such messages could, for example, be used to manipulate stock prices by an organized group of people. The proposed solutions can classified as steganographic methods where the message carrier is a stock transaction or stock order table, in which a message is embedded by means of algorithmic modification of buy and sell records. Also presented are specific proposals for static, dynamic, and mixed static-dynamic solutions based on the results of the author’s research. In the static methods group, an imperceptible communication channel is formed through a series of asynchronous modifications that create a complete, readable message that is present for a relatively long time. In dynamic methods, the embedded message is synchronized in time and creates a sequence of events that create statements. The third group of methods presented, mixed methods, use static and dynamic techniques to construct hidden messages. In particular, the method of extreme orders (MEO), mono-table method (MTM), multi-table method (MUTM), method of price-indexed vectors (MPIV), method of quantity-indexed vectors (MQIV), clustered order method (COM), distributed order method (DOM), position-encoded method (PEM), method with quantity coding (MQC), method with error correction (MEC), method limited to buy orders (MLBO), method limited to sell orders (MLSO), and self-synchronizing method (SSM) are presented. The solutions presented in this work can be applied practically in any publicly available stock trading system in which order tables are available. The algorithms presented in the paper were implemented and verified on a real trading service, and the research software used was implemented based on the API provided by the brokerage office.
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Conference papers on the topic "Multi-channel SVM"

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Han, Chunxiao, Yaru Yang, Xiaozhou Sun, Mihong Yang, and Yingmei Qin. "SVM-based Multi-classification for Detection of Vigilance Levels with Single-Channel EEG Signals." In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8833229.

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Habiba, Umme, Md Rasel Howlader, Md Aminul Islam, Rahat Hossain Faisal, and Md Mostafijur Rahman. "Automatic Medicinal Plants Classification using Multi-channel Modified Local Gradient Pattern with SVM Classifier." In 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019. http://dx.doi.org/10.1109/iciev.2019.8858527.

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Karimi, M. Reza, and Hossein Kassiri. "A Multi-Feature Nonlinear-SVM Seizure Detection Algorithm with Patient-Specific Channel Selection and Feature Customization." In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2020. http://dx.doi.org/10.1109/iscas45731.2020.9180729.

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Jonghwa Lee and Chulhee Lee. "Spatial-temporal multi-channel audio coding." In 2008 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2008. http://dx.doi.org/10.1109/sam.2008.4606895.

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Contarino, V. M., P. A. Molchanov, I. M. Petrosyuk, Y. Y. Podobna, and O. V. Asmolova. "Neuro-fuzzy model for multi-channel underwater imaging." In 2006 IEEE Sensor Array and Multichannel Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/sam.2006.1706214.

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Blom, Koen C. H., Rinse Wester, Andre B. J. Kokkeler, and Gerard J. M. Smit. "Low-cost multi-channel underwater acoustic signal processing testbed." In 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2012. http://dx.doi.org/10.1109/sam.2012.6250551.

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GAN, Lu, and Hongqing Liu. "High Dynamic Range Sensing Using Multi-Channel Modulo Samplers." In 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2020. http://dx.doi.org/10.1109/sam48682.2020.9104340.

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Qiu, Xiaolan, Junying Yang, Mingyang Shang, Lihua Zhong, and Chibiao Ding. "Multi-Channel Spaceborne SAR Imaging Method for Maritime Scenarios." In 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2020. http://dx.doi.org/10.1109/sam48682.2020.9104253.

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Khomonenko, Anatoly D., Sergey I. Gindin, and Khalil Maad Modher. "A cloud computing model using multi-channel queuing system with cooling." In 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM). IEEE, 2016. http://dx.doi.org/10.1109/scm.2016.7519697.

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Liang, Junhui, Jin He, and Wenxian Yu. "3D Parametric Channel Estimation for Multi-User Massive-MIMO OFDM Systems." In 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2020. http://dx.doi.org/10.1109/sam48682.2020.9104326.

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