Literatura científica selecionada sobre o tema "Multiple-Model coding"
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Artigos de revistas sobre o assunto "Multiple-Model coding"
Qing, Linbo, Xiaohai He, Xianfeng Ou e Rui Lv. "Distributed Video Coding Based on Multiple-source Correlation Model". Applied Mathematics & Information Sciences 7, n.º 4 (1 de julho de 2013): 1609–14. http://dx.doi.org/10.12785/amis/070447.
Texto completo da fonteZhou, Yugang, e Wai-Yip Chan. "E-model based comparison of multiple description coding and layered coding in packet networks". European Transactions on Telecommunications 18, n.º 7 (2007): 661–68. http://dx.doi.org/10.1002/ett.1168.
Texto completo da fonteZhang, Jinlin, Jun Shao, Yun Ling, Min Ji, Guiyi Wei e Bishan Ying. "Efficient multiple sources network coding signature in the standard model". Concurrency and Computation: Practice and Experience 27, n.º 10 (25 de julho de 2014): 2616–36. http://dx.doi.org/10.1002/cpe.3322.
Texto completo da fonteWANG, NING, e LIZHONG PENG. "BALANCED MULTIPLE DESCRIPTION SUBBAND CODING". International Journal of Wavelets, Multiresolution and Information Processing 09, n.º 04 (julho de 2011): 571–86. http://dx.doi.org/10.1142/s0219691311004225.
Texto completo da fonteBai, Yang, Xuan Guang e Raymond W. Yeung. "Multiple Linear-Combination Security Network Coding". Entropy 25, n.º 8 (28 de julho de 2023): 1135. http://dx.doi.org/10.3390/e25081135.
Texto completo da fonteLi, Shizheng, e Aditya Ramamoorthy. "Multiple-Source Slepian-Wolf Coding Under a Linear Equation Correlation Model". IEEE Transactions on Communications 60, n.º 9 (setembro de 2012): 2402–7. http://dx.doi.org/10.1109/tcomm.2012.070912.110062.
Texto completo da fonteSwanson, H. Lee. "Verbal coding deficits in learning-disabled readers: A multiple stage model". Educational Psychology Review 1, n.º 3 (setembro de 1989): 235–77. http://dx.doi.org/10.1007/bf01320136.
Texto completo da fonteGreenberg, Jane, Shaun Trujillo e Ketan Mayer-Patel. "YouTube: Applying FRBR and Exploring the Multiple Description Coding Compression Model". Cataloging & Classification Quarterly 50, n.º 5-7 (junho de 2012): 742–62. http://dx.doi.org/10.1080/01639374.2012.681273.
Texto completo da fonteWang, Cui Yan, Wei Sheng Du e Jun Wang. "Optimization Algorithm Study for Multiple-Constrained and Multiple-Objective Job-Shop Tool Dynamic Distribution". Applied Mechanics and Materials 551 (maio de 2014): 612–16. http://dx.doi.org/10.4028/www.scientific.net/amm.551.612.
Texto completo da fonteLee, Bum-Jik, Young-Hoon Joo e Jin-Bae Park. "A DNA Coding-Based Interacting Multiple Model Method for Tracking a Maneuvering Target". Journal of Korean Institute of Intelligent Systems 12, n.º 6 (1 de dezembro de 2002): 497–502. http://dx.doi.org/10.5391/jkiis.2002.12.6.497.
Texto completo da fonteTeses / dissertações sobre o assunto "Multiple-Model coding"
Presvôts, Corentin. "Multiple-Model Coding Scheme for Electrical Signal Compression". Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG007.
Texto completo da fonteThe integration of renewable energy sources into the electrical grid introduces more complex dynamics, requiring more efficient and low-latency control. This control demands the transmission of large volumes of data from substations to higher-level control centers. To address network bandwidth constraints, it is essential to develop efficient compression techniques tailored to the specific characteristics of electrical signals. Currently, Phasor Measurement Units (PMUs) are the most commonly used devices for acquiring and compressing these signals. However, PMU cannot accurately represent fast transients. In the first part of this thesis, a compression method using neural networks, based on Variational Autoencoders (VAEs), is described. Initially developed for image compression, this method is adapted in this work to the compression of sampled electrical signals. The principle relies on optimizing the transformation step by minimizing a Rate-Distortion (RD) trade-off over a training set of electrical signals. This method enables the optimization of the entire compression pipeline by accounting for quantization and entropy coding, thus providing better average performance compared to classical non-trainable methods, such as the Discrete Cosine Transform (DCT) or the discrete wavelet transform Discrete Wavelet Transform (DWT). The second part describes a proposed multi-model coding scheme for the compression of sampled electrical signals. To reduce latency, the Multiple Model Compression (MMC) approach operates on windows of approximately one electrical period (on the order of glspl{pmu} latency), thus containing a limited number of samples. In the first compression stage, several parametric signal models (sinusoidal, polynomial, and predictive models) are compared to obtain a coarse representation of the electrical signal. In the second stage, several transform coding techniques are used to compress the reconstruction residual from the first stage. The transformations used include the DCT, DWT, and the previously mentioned VAEs. The model parameters are quantized, and the bit budget allocation between the two stages is optimized based on a target rate. However, imposing a rate constraint introduces variations in the reconstruction quality of the sampled signals, which may not meet the strict quality requirements imposed by end users. The third part of this thesis aims to determine the minimum bit budget required to satisfy a maximum distortion constraint. The additional degree of freedom provided by the choice of the total bit budget increases the complexity of the MMC approach compared to its fixed-rate variant and may be incompatible with real-time constraints. Two distinct methods are proposed for model selection and bit allocation between the two stages. The first method relies on an exhaustive search to determine the number of bits to allocate to both compression stages. The second method uses a golden-section search. The computational cost of these two approaches is further reduced by a preliminary estimation of the best model and the optimal bit allocation between the two stages to meet the distortion constraint. This estimation is based on RD models
Li, Xiaohuan. "Multiple Global Affine Motion Models Used in Video Coding". Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14631.
Texto completo da fonteAbouseif, Akram. "Emerging DSP techniques for multi-core fiber transmission systems". Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT013.
Texto completo da fonteOptical communication systems have seen several phases in the last decades. It is predictable that the optical systems as we know will reach the non-linear capacity limits. At the moment, the space is the last degree of freedom to be implemented in order to keep delivering the upcoming capacity demands for the next years. Therefore, intensive researches are conducted to explore all the aspects concerning the deployment of the space-division multiplexing (SDM) system. Several impairments impact the SDM systems as a result from the interaction of the spatial channels which degrades the system performance. In this thesis, we focus on the multi-core fibers (MCFs) as the most promising approach to be the first representative of the SDM system. We present different digital and optical solutions to mitigate the non-unitary effect known as the core dependent loss (CDL). The first part is dedicated to study the performance of the MCF transmission taking into account the propagating impairments that impact the MCF systems. We propose a channel model that helps to identify the MCFs system. The second part is devoted to optical technique to enhance the transmission performance with an optimal solution. After, we introduced digital techniques for further enhancement, the Zero Forcing pre-compensation and the space-time coding for further CDL mitigation. All the simulation results are validated analytically by deriving the error probability upper bounds
Wen, Shan-Tsun, e 溫善淳. "Auto-Regressive Model Enhanced Multiple Description Coding". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/74788150929379530898.
Texto completo da fonte國立交通大學
網路工程研究所
100
Multiple description video coding (MDC) [1] is one of popular solutions to reduce the detrimental effects caused by transmission over error-prone networks. In this thesis, an auto-regressive model enhanced MDC is proposed. In general MDC architecture, redundancy rate and error resilience performance are important criterion for assessment. Auto-regressive model adopted in our proposal aims at reducing the redundancy rate while keeping the error resilience performance in our proposal. The proposed MDC model comprises two symmetric descriptions. One description is composed of even frames in h.264 standard and odd residual frames; while the other is omposed of odd frames and even residual frames. Both even and odd residual frames use the prediction frames generated by auto-regressive model. The experiments show that it achieves better coding efficiency and error resilience than descriptions which residual frames are predicted from interpolated frames in packet loss networks.
Wang, Ching-Yen, e 王敬嚴. "Using Auto-Regressive Model with Multiple Training Window Sizes in Multiple Description Coding". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/48546022850410142896.
Texto completo da fonte國立交通大學
資訊科學與工程研究所
101
Since network video streaming have become popular in recent years, error resilient technique is more important. Multiple description video coding is one of well-known error resilient methods to cope with the network erroneous transmission in various networks environments. In conventional auto-regressive model, fixed training window size is adopted. In this thesis, we design a multiple description coding which adopts an auto-regressive model with multiple training window sizes to enhance the error resilience. In our MDC structure, we encode a video stream into two descriptions; one description contains all odd frames and the other contains all even frames. Both are encoded according to H.264/AVC standard. In the decoder side, we recover missing frames by using auto-regressive model with selected training window sizes. According to the experimental results, the proposed method outperforms other methods in both objective and subjective quality.
Varshneya, Virendra K. "Distributed Coding For Wireless Sensor Networks". Thesis, 2005. https://etd.iisc.ac.in/handle/2005/1409.
Texto completo da fonteVarshneya, Virendra K. "Distributed Coding For Wireless Sensor Networks". Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1409.
Texto completo da fonteBhavani, Shankar M. R. "Design Of Linear Precoded MIMO Communication Systems". Thesis, 2007. https://etd.iisc.ac.in/handle/2005/558.
Texto completo da fonteBhavani, Shankar M. R. "Design Of Linear Precoded MIMO Communication Systems". Thesis, 2007. http://hdl.handle.net/2005/558.
Texto completo da fonte"Differential modulation and non-coherent detection in wireless relay networks". Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-01-1399.
Texto completo da fonteCapítulos de livros sobre o assunto "Multiple-Model coding"
Shao, Jun, Jinlin Zhang, Yun Ling, Min Ji, Guiyi Wei e Bishan Ying. "Multiple Sources Network Coding Signature in the Standard Model". In Internet and Distributed Computing Systems, 195–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41428-2_16.
Texto completo da fonteAhlswede, Rudolf. "Coding for the Multiple-Access Channel: The Combinatorial Model". In Foundations in Signal Processing, Communications and Networking, 113–232. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53139-7_4.
Texto completo da fonteCoyle, Yvette. "Chapter 14. Setting up a coding scheme for the analysis of the dynamics of children’s engagement with written corrective feedback". In Research Methods in the Study of L2 Writing Processes, 292–314. Amsterdam: John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/rmal.5.14coy.
Texto completo da fonteLessa, Felipe, Daniele Martins Neto, Kátia Guimarães, Marcelo Brigido e Maria Emilia Walter. "Regene: Automatic Construction of a Multiple Component Dirichlet Mixture Priors Covariance Model to Identify Non-coding RNA". In Bioinformatics Research and Applications, 380–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21260-4_36.
Texto completo da fonteMenges, Uta, Jonas Hielscher, Annette Kluge e M. Angela Sasse. "Work in Progress – Brick by Brick: Using a Structured Building Blocks Method to Engage Participants and Collect IT Security Insights". In Lecture Notes in Computer Science, 134–45. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83072-3_8.
Texto completo da fonteShipp, Stewart, e Karl Friston. "Predictive Coding". In The Cerebral Cortex and Thalamus, editado por Alessandra Angelucci, 436–45. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/med/9780197676158.003.0041.
Texto completo da fonteCormier, Ben. "Testing the Partisan Model". In How Governments Borrow, 57–79. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198882732.003.0003.
Texto completo da fonte"YouTube: Applying FRBR and Exploring the Multiple Description Coding Compression Model". In The FRBR Family of Conceptual Models, 398–418. Routledge, 2014. http://dx.doi.org/10.4324/9781315829661-28.
Texto completo da fonteHayashi, Sachiko. "Multiple layers of gene-expression regulatory mechanisms during fermentation and respiration". In New Advances in Saccharomyces [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1003912.
Texto completo da fonteFrança, Reinaldo Padilha, Yuzo Iano, Ana Carolina Borges Monteiro e Rangel Arthur. "Improvement for Channels With Multipath Fading (MF) Through the Methodology CBEDE". In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 25–43. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1152-7.ch002.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Multiple-Model coding"
Satti, Shahid M., Nikos Deligiannis, Adrian Munteanu, Peter Schelkens e Jan Cornelis. "A model-based analysis of scalable Multiple Description Coding". In 2011 17th International Conference on Digital Signal Processing (DSP). IEEE, 2011. http://dx.doi.org/10.1109/icdsp.2011.6004891.
Texto completo da fonteAlsabbagh, J. R., e V. V. Raghavan. "A model for multiple-query processing based upon strong factoring". In International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286511.
Texto completo da fonteSagetong, P., e A. Ortega. "Analytical model-based bit allocation for wavelet coding with applications to multiple description coding and region of interest coding". In IEEE International Conference on Multimedia and Expo, 2001. ICME 2001. IEEE, 2001. http://dx.doi.org/10.1109/icme.2001.1237645.
Texto completo da fonteZaveri, M. A., S. N. Merchant e U. B. Desai. "Arbitrary trajectories tracking using multiple model based particle filtering in infrared image sequence". In International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286530.
Texto completo da fonteShahnawazuddin, S., e Rohit Sinha. "A low complexity model adaptation approach involving sparse coding over multiple dictionaries". In Interspeech 2014. ISCA: ISCA, 2014. http://dx.doi.org/10.21437/interspeech.2014-498.
Texto completo da fonteKabatiansky, Grigory, e Elena Egorova. "Adversarial multiple access channels and a new model of multimedia fingerprinting coding". In 2020 IEEE Conference on Communications and Network Security (CNS). IEEE, 2020. http://dx.doi.org/10.1109/cns48642.2020.9162248.
Texto completo da fonteKulatunga, Harini, e V. Kadirkamanathan. "Space-Time Block Coding: Joint Detection and Channel Estimation using Multiple Model Theory". In 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications. IEEE, 2006. http://dx.doi.org/10.1109/spawc.2006.346407.
Texto completo da fonteLi, Xiaohuan, Joel R. Jackson, Aggelos K. Katsaggelos e Russel M. Merserau. "Multiple global affine motion model for H.264 video coding with low bit rate". In Electronic Imaging 2005, editado por Amir Said e John G. Apostolopoulos. SPIE, 2005. http://dx.doi.org/10.1117/12.587328.
Texto completo da fonteChoi, Minkyu, e Jun Tani. "Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model". In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7965915.
Texto completo da fonteMillidge, Beren, Tommaso Salvatori, Yuhang Song, Rafal Bogacz e Thomas Lukasiewicz. "Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?" In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/774.
Texto completo da fonteRelatórios de organizações sobre o assunto "Multiple-Model coding"
DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, Melanie Hymes, Shawn Karns, Donna Rhodes e Alanna Moshfegh. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, maio de 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.
Texto completo da fonteEshed, Yuval, e John Bowman. Harnessing Fine Scale Tuning of Endogenous Plant Regulatory Processes for Manipulation of Organ Growth. United States Department of Agriculture, 2005. http://dx.doi.org/10.32747/2005.7696519.bard.
Texto completo da fonte