Relevant bibliographies by topics / Encoder-decoder

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Encoder-decoder'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Encoder-decoder"

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Chen, Zhang Jin, Guo Hai Zhong, and Zhuo Bi. "A High Speed 8B/10B Encoder/Decoder Design Based on Low Cost FPGA." Advanced Materials Research 462 (February 2012): 361–67. http://dx.doi.org/10.4028/www.scientific.net/amr.462.361.

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A high speed 8B/10B Encoder/Decoder is presented in this paper. The Encoder/Decoder is based on Altera’s low cost FPGA Cyclone family. The Encoder/Decoder includes parallel pipeline structure. The Encoder/Decoder is applied to the Serializer/Deserializer (SERDES) of high-speed serial bus. The Encoder/Decoder is synthesized and simulated by Quartus II 9.1. The synthesis and analysis results show the maximum frequency is more than 359MHz. The timing simulation results show the clock frequency is more than 125 MHz. The single channel data rate of serial bus can get to 1.25Gbps. The proposed Encod
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Li, Yehao, Yingwei Pan, Ting Yao, Jingwen Chen, and Tao Mei. "Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 10 (2021): 8518–26. http://dx.doi.org/10.1609/aaai.v35i10.17034.

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Despite having impressive vision-language (VL) pretraining with BERT-based encoder for VL understanding, the pretraining of a universal encoder-decoder for both VL understanding and generation remains challenging. The difficulty originates from the inherently different peculiarities of the two disciplines, e.g., VL understanding tasks capitalize on the unrestricted message passing across modalities, while generation tasks only employ visual-to-textual message passing. In this paper, we start with a two-stream decoupled design of encoder-decoder structure, in which two decoupled cross-modal enc
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MARTINA, MAURIZIO, MARIO NICOLA, and GUIDO MASERA. "VLSI IMPLEMENTATION OF WiMax CONVOLUTIONAL TURBO CODE ENCODER AND DECODER." Journal of Circuits, Systems and Computers 18, no. 03 (2009): 535–64. http://dx.doi.org/10.1142/s0218126609005241.

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A VLSI encoder and decoder implementation for the IEEE 802.16 WiMax convolutional turbo code is presented. Architectural choices employed to achieve high throughput, while granting a limited occupation of resources, are addressed both for the encoder and decoder side, including also the subblock interleaving and symbol selection functions specified in the standard. The complete encoder and decoder architectures, implemented on a 0.13 μm standard cell technology, sustain a decoded throughput of more than 90 Mb/s with a 200 MHz clock frequency. The encoder has the complexity of 9.2 kgate of logi
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Andréasson, Joakim, Stephen D. Straight, Thomas A. Moore, Ana L. Moore, and Devens Gust. "Molecular All-Photonic Encoder−Decoder." Journal of the American Chemical Society 130, no. 33 (2008): 11122–28. http://dx.doi.org/10.1021/ja802845z.

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Tasaki, Hirohisa. "Sound encoder and sound decoder." Journal of the Acoustical Society of America 123, no. 6 (2008): 4037. http://dx.doi.org/10.1121/1.2942447.

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Miyasaka, Shuji. "Audio encoder and audio decoder." Journal of the Acoustical Society of America 127, no. 4 (2010): 2707. http://dx.doi.org/10.1121/1.3396203.

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Abdulaziz AlArfaj, Abeer, and Hanan Ahmed Hosni Mahmoud. "A Moving Object Tracking Technique Using Few Frames with Feature Map Extraction and Feature Fusion." ISPRS International Journal of Geo-Information 11, no. 7 (2022): 379. http://dx.doi.org/10.3390/ijgi11070379.

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Moving object tracking techniques using machine and deep learning require large datasets for neural model training. New strategies need to be invented that utilize smaller data training sizes to realize the impact of large-sized datasets. However, current research does not balance the training data size and neural parameters, which creates the problem of inadequacy of the information provided by the low visual data content for parameter optimization. To enhance the performance of moving object tracking that appears in only a few frames, this research proposes a deep learning model using an abu
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Sokorynska, Natalia, Yurii Posternak, Liliia Zaitseva, and Oleksandr Rudenok. "THE METHOD OF ADAPTIVE SELECTION OF THE SIZE OF TURBO CODE STATE DIAGRAMS IN 5G AND IOT SYSTEMS." Technical Sciences and Technologies, no. 2(32) (2023): 249–60. http://dx.doi.org/10.25140/2411-5363-2023-2(32)-249-260.

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The article proposes a method for optimizing the operation of the turbocode encoder/decoder in 5G and IoT systems due to the adaptive selection of the state diagram size using the proposed decoding uncertainty indicator.The principles of forming state diagrams of the turbo code encoder and decoder are considered, and the uncertainty of data decoding is clarified. Using the a priori and a posteriori data of the turbo code decoder, an algorithm for changing the state diagram of the turbo code encoder/decoder is proposed.The essence of the method is to optimize the operation of the turbo code enc
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Seriès, Peggy, Alan A. Stocker, and Eero P. Simoncelli. "Is the Homunculus “Aware” of Sensory Adaptation?" Neural Computation 21, no. 12 (2009): 3271–304. http://dx.doi.org/10.1162/neco.2009.09-08-869.

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Neural activity and perception are both affected by sensory history. The work presented here explores the relationship between the physiological effects of adaptation and their perceptual consequences. Perception is modeled as arising from an encoder-decoder cascade, in which the encoder is defined by the probabilistic response of a population of neurons, and the decoder transforms this population activity into a perceptual estimate. Adaptation is assumed to produce changes in the encoder, and we examine the conditions under which the decoder behavior is consistent with observed perceptual eff
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Kim, Minhoe, and Woongsup Lee. "Deep Spread Multiplexing and Study of Training Methods for DNN-Based Encoder and Decoder." Sensors 23, no. 8 (2023): 3848. http://dx.doi.org/10.3390/s23083848.

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We propose a deep spread multiplexing (DSM) scheme using a DNN-based encoder and decoder and we investigate training procedures for a DNN-based encoder and decoder system. Multiplexing for multiple orthogonal resources is designed with an autoencoder structure, which originates from the deep learning technique. Furthermore, we investigate training methods that can leverage the performance in terms of various aspects such as channel models, training signal-to-noise (SNR) level and noise types. The performance of these factors is evaluated by training the DNN-based encoder and decoder and verifi
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Dissertations / Theses on the topic "Encoder-decoder"

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Kalchbrenner, Nal. "Encoder-decoder neural networks." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:d56e48db-008b-4814-bd82-a5d612000de9.

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This thesis introduces the concept of an encoder-decoder neural network and develops architectures for the construction of such networks. Encoder-decoder neural networks are probabilistic conditional generative models of high-dimensional structured items such as natural language utterances and natural images. Encoder-decoder neural networks estimate a probability distribution over structured items belonging to a target set conditioned on structured items belonging to a source set. The distribution over structured items is factorized into a product of tractable conditional distributions over in
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Padinjare, Sainath. "VLSI implementation of a turbo encoder/decoder /." Internet access available to MUN users only, 2003. http://collections.mun.ca/u?/theses,162832.

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Weitzman, Jonathan M. "SELECTABLE PERMUTATION ENCODER/DECODER FOR A QPSK MODEM." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605817.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>An artifact of QPSK modems is ambiguity of the recovered data. There are four variations of the output data for a given input data stream. All are equally probable. To resolve this ambiguity, the QPSK data streams can be differentially encoded before modulation and differentially decoded after demodulation. The encoder maps each input data pair to a phase angle change of the QPSK carrier. In the demodulator, the inverse is performed - each phase change of the inpu
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Mejdi, Sami. "Encoder-Decoder Networks for Cloud Resource Consumption Forecasting." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291546.

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Excessive resource allocation in telecommunications networks can be prevented by forecasting the resource demand when dimensioning the networks and the allocation the necessary resources accordingly, which is an ongoing effort to achieve a more sustainable development. In this work, traffic data from cloud environments that host deployed virtualized network functions (VNFs) of an IP Multimedia Subsystem (IMS) has been collected along with the computational resource consumption of the VNFs. A supervised learning approach was adopted to address the forecasting problem by considering encoder-deco
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Mejdi, Sami. "Encoder-Decoder Networks for Cloud Resource Consumption Forecasting." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-294066.

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Excessive resource allocation in telecommunications networks can be prevented by forecasting the resource demand when dimensioning the networks and then allocating the necessary resources accordingly, which is an ongoing effort to achieve a more sustainable development. In this work, traffic data from cloud environments that host deployed virtualized network functions (VNFs) of an IP Multimedia Subsystem (IMS) has been collected along with the computational resource consumption of the VNFs. A supervised learning approach was adopted to address the forecasting problem by considering encoder-dec
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Correia, Tiago Miguel Pina. "FPGA implementation of Alamouti encoder/decoder for LTE." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12679.

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Mestrado em Engenharia Electrónica e Telecomunicações<br>Motivados por transmissões mais rápidas e mais fiáveis num canal sem fios, os sistemas da 4G devem proporcionar processamento de dados mais rápido a baixa complexidade, elevadas taxas de dados, assim como robustez na performance reduzindo também, a latência e os custos de operação. LTE apresenta, na sua camada física, tecnologias como OFDM e MIMO que prometem alcançar elevadas taxas de dados e aumentar a eficiência espectral. Especificamente a camada física do LTE emprega OFDMA para downlink e SC-FDMA para uplink. A tecnologia MIMO per
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Leivas, Oliveira Gabriel [Verfasser], Thomas [Akademischer Betreuer] Brox, and Wolfram [Akademischer Betreuer] Burgard. "Encoder-decoder methods for semantic segmentation: efficiency and robustness aspects." Freiburg : Universität, 2019. http://d-nb.info/1191689476/34.

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Kopparthi, Sunitha. "Flexible encoder and decoder designs for low-density parity-check codes." Diss., Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4190.

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Pisacane, Claudia. "Skopos Theory La figura del traduttore come decoder e re-encoder." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8926/.

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La Skopos Theory è una teoria introdotta nel mondo della traduzione dal linguista tedesco Hans Joseph Vermeer. Skopos è una parola di derivazione greca che significa “fine” o “scopo”. La teoria elaborata da Vermeer si basa sull’idea che ogni testo abbia uno skopos che determina i metodi e le strategie secondo le quali esso debba essere tradotto. Oltre alla Skopos Theory, che sarà la base della tesi, i testi a seguire verranno analizzati seguendo altri autori, quali Mona Baker e Laurence Venuti, che si rifanno all’idea di skopos e analizzano molto dettagliatamente la figura del traduttore come
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Nina, Oliver A. Nina. "A Multitask Learning Encoder-N-Decoder Framework for Movie and Video Description." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531996548147165.

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Books on the topic "Encoder-decoder"

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Jet Propulsion Laboratory (U.S.), ed. A software simulation study of a (255,223) Reed-Solomon encoder/decoder. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1985.

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Sari, Mehmet. Designing fast Golay encoder/decoder in Xilinx XACT with Mentor Graphics CAD interface. Naval Postgraduate School, 1997.

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Madadi, H. Assessment of a wide area digital paging system (microprocessor based decoder/encoder) and VHF Channel characterization for urban and suburban areas. University of Birmingham, 1985.

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McKenzie, Stephen Scott. A systolic array implementation of a Reed-Solomon encoder and decoder. 1985.

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Bluedorn, Harvey. Handy English Encoder Decoder: All the Spelling and Phonics Rules You Could Ever Want to Know. Trivium Pursuit, 2004.

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Wireless Radio Frequency Module Using PIC Microcontroller.: The Basics of Wireless Radio Frequency Communications With Using Latest & An Advanced MCU Named PIC. Public Domain, 2012.

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Book chapters on the topic "Encoder-decoder"

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Weik, Martin H. "encoder/decoder." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6156.

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Weik, Martin H. "encoder-decoder." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6157.

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Asadi, Farzin. "Encoder and Decoder." In Digital Circuits Laboratory Manual. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41516-6_5.

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Ghosh, Banani. "Multiplexer, Demultiplexer, Encoder, Decoder." In Basics of Digital Electronics. CRC Press, 2023. http://dx.doi.org/10.1201/9781003436997-7.

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Habinc, S., and S. Saunders. "CCSDS Decoder/Encoder Boards." In A Combined Data and Power Management Infrastructure. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-64053-1_6.

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Habinc, Sandi. "The CCSDS Decoder/Encoder Boards." In A Combined Data and Power Management Infrastructure. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35557-8_4.

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Gong, Yansheng, and Wenfeng Jing. "A Fully-Nested Encoder-Decoder Framework for Anomaly Detection." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_75.

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AbstractAnomaly detection is an important branch of computer vision. At present, a variety of deep learning models are applied to anomaly detection. However, the lack of abnormal samples makes supervised learning difficult to implement. In this paper, we mainly study abnormal detection tasks based on unsupervised learning and propose a Fully-Nested Encoder-decoder Framework. The main part of the proposed generating model consists of a generator and a discriminator, which are adversarially trained based on normal data samples. In order to improve the image reconstruction capability of the gener
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Xu, Xiangzhe, Jinhua Wu, Yuting Wang, Zhenguo Yin, and Pengfei Li. "Automatic Generation and Validation of Instruction Encoders and Decoders." In Computer Aided Verification. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81688-9_34.

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AbstractVerification of instruction encoders and decoders is essential for formalizing manipulation of machine code. The existing approaches cannot guarantee the critical consistency property, i.e., that an encoder and its corresponding decoder are mutual inverses of each other. We observe that consistent encoder-decoder pairs can be automatically derived from bijections inherently embedded in instruction formats. Based on this observation, we develop a framework for writing specifications that capture these bijections, for automatically generating encoders and decoders from these specificatio
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Cai, Pei-Xuan, Yao-Chung Fan, and Fang-Yie Leu. "Compare Encoder-Decoder, Encoder-Only, and Decoder-Only Architectures for Text Generation on Low-Resource Datasets." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90072-4_23.

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Cox, Pedro Henrique, and Aparecido Augusto de Carvalho. "FPGA Discrete Wavelet Transform Encoder/Decoder Implementation." In Neural Information Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893295_123.

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Conference papers on the topic "Encoder-decoder"

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Liu, Boyu. "Comparative Analysis of Encoder-Only, Decoder-Only, and Encoder- Decoder Language Models." In International Conference on Data Science and Engineering. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012829800004547.

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Jose, Akshay Kiran, Gangadhar Karevvanavar, and Rajshekhar V. Bhat. "An Encoder-Decoder Approach for Packing Circles." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619689.

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Laboyrie, Frederik, Mehmet Kerim Yucel, and Albert Saà-Garriga. "Rethinking Encoder-Decoder Flow Through Shared Structures." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10890765.

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Gao, Yingbo, Christian Herold, Zijian Yang, and Hermann Ney. "Is Encoder-Decoder Redundant for Neural Machine Translation?" In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.aacl-main.43.

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Jiang, Wenda, Zhen Gao, and Wael Brahim. "Wound Semantic Segmentation Framework with Encoder-Decoder Architecture." In 2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI). IEEE, 2024. http://dx.doi.org/10.1109/seai62072.2024.10674494.

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Satyanarayana, Abhishek, and Maruf Dhali. "Oil Spill Segmentation Using Deep Encoder-Decoder Models." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013259600003905.

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Uedelhoven, Daniel, Max Lübbering, Christian Bauckhage, and Rafet Sifa. "Table Structure Recognition via Encoder/Decoder Vision Transformers." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825230.

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Pietruszka, Michał, Michał Turski, Łukasz Borchmann, et al. "STable: Table Generation Framework for Encoder-Decoder Models." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-long.151.

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Kareemunissa and Prakash Ramachandran. "Image Captioning Using Vision Transformer Encoder Decoder Model." In 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). IEEE, 2025. https://doi.org/10.1109/iccrtee64519.2025.11052966.

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John, Kenneth, and Katerina Potika. "Diverse GNN Encoder-Decoder for Graph Anomaly Detection." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00021.

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Reports on the topic "Encoder-decoder"

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Johnson, Zachary. Heatmap Router: An encoder-decoder approach to PCB routing. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-819.

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Ramakrishnan, Aravind, Fangyu Liu, Angeli Jayme, and Imad Al-Qadi. Prediction of Pavement Damage under Truck Platoons Utilizing a Combined Finite Element and Artificial Intelligence Model. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-030.

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For robust pavement design, accurate damage computation is essential, especially for loading scenarios such as truck platoons. Studies have developed a framework to compute pavement distresses as function of lateral position, spacing, and market-penetration level of truck platoons. The established framework uses a robust 3D pavement model, along with the AASHTOWare Mechanistic–Empirical Pavement Design Guidelines (MEPDG) transfer functions to compute pavement distresses. However, transfer functions include high variability and lack physical significance. Therefore, as an improvement to effecti
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Patwa, B., P. L. St-Charles, G. Bellefleur, and B. Rousseau. Predictive models for first arrivals on seismic reflection data, Manitoba, New Brunswick, and Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329758.

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First arrivals are the primary waves picked and analyzed by seismologists to infer properties of the subsurface. Here we try to solve a problem in a small subsection of the seismic processing workflow: first break picking of seismic reflection data. We formulate this problem as an image segmentation task. Data is preprocessed, cleaned from outliers and extrapolated to make the training of deep learning models feasible. We use Fully Convolutional Networks (specifically UNets) to train initial models and explore their performance with losses, layer depths, and the number of classes. We propose t
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