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Relevant bibliographies by topics / Linear decoder

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Academic literature on the topic 'Linear decoder'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Linear decoder"

1

Chacron, Maurice J. "Nonlinear Information Processing in a Model Sensory System." Journal of Neurophysiology 95, no. 5 (2006): 2933–46. http://dx.doi.org/10.1152/jn.01296.2005.

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Understanding the mechanisms by which sensory neurons encode and decode information remains an important goal in neuroscience. We quantified the performance of optimal linear and nonlinear encoding models in a well-characterized sensory system: the electric sense of weakly electric fish. We show that linear encoding models generally perform better under spatially localized stimulation than under spatially diffuse stimulation. Through pharmacological blockade of feedback input and spatial saturation of the receptive field center, we show that there is significantly less synaptic noise under spa

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Yates, Jacob L., Leor N. Katz, Aaron J. Levi, Jonathan W. Pillow, and Alexander C. Huk. "A simple linear readout of MT supports motion direction-discrimination performance." Journal of Neurophysiology 123, no. 2 (2020): 682–94. http://dx.doi.org/10.1152/jn.00117.2019.

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Motion discrimination is a well-established model system for investigating how sensory signals are used to form perceptual decisions. Classic studies relating single-neuron activity in the middle temporal area (MT) to perceptual decisions have suggested that a simple linear readout could underlie motion discrimination behavior. A theoretically optimal readout, in contrast, would take into account the correlations between neurons and the sensitivity of individual neurons at each time point. However, it remains unknown how sophisticated the readout needs to be to support actual motion-discrimina

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Lv, Yansong, Hang Yin, Zhanxin Yang, Yuhuan Wang, and Jingxin Dai. "Adaptive List Flip Decoder for Polar Codes with High-Order Error Correction Capability and a Simplified Flip Metric." Entropy 24, no. 12 (2022): 1806. http://dx.doi.org/10.3390/e24121806.

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Designing an efficient decoder is an effective way to improve the performance of polar codes with limited code length. List flip decoders have received attention due to their good performance trade-off between list decoders and flip decoders. In particular, the newly proposed dynamic successive cancellation list flip (D-SCLF) decoder employs a new flip metric to effectively correct high-order errors and thus enhances the performance potential of present list flip decoders. However, this flip metric introduces extra exponential and logarithmic operations, and the number of these operations rise

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Arul Murugan, C., B. Banuselvasaraswathy, K. Gayathree, and M. Ishwarya Niranjana. "Efficient high throughput decoding architecture for non-binary LDPC codes." International Journal of Engineering & Technology 7, no. 2.8 (2018): 195. http://dx.doi.org/10.14419/ijet.v7i2.8.10407.

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This article, deals with efficient trellis inbuilt decoding architecture for non-binary Linear Density Parity Check (LDPC) codes. In this decoder, a bidirectional recursion is embedded to enhance the layered scheduling and decoding latency, which in turn is used to minimize the number of iterations compared to existing techniques. Consequently, it is necessary to increase the throughput for improving the efficiency of the system. In addition, a compression technique is implemented for reducing the requirements of memory and the area. Trellis based decoder was used to reinforce the check node p

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Vranay, Dominik, Mykhailo Ruzmetov, and Peter Sinčák. "Interpretability Using Reconstruction of Capsule Networks." Acta Electrotechnica et Informatica 24, no. 3 (2024): 15–22. http://dx.doi.org/10.2478/aei-2024-0010.

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Abstract This paper evaluates the effectiveness of different decoder architectures in enhancing the reconstruction quality of Capsule Neural Networks (CapsNets), which impacts model interpretability. We compared linear, convolutional, and residual decoders to assess their performance in improving CapsNet reconstructions. Our experiments revealed that the Conditional Variational Autoencoder Capsule Network (CVAECapOSR) achieved the best reconstruction quality on the CIFAR-10 dataset, while the residual decoder outperformed others on the Brain Tumor MRI dataset. These findings highlight how impr

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Hsieh, Kunta, Yan-Wei Lin, Shao-I. Chu, Hsin-Chiu Chang, and Ming-Yuan Cho. "A Simple Neural-Network-Based Decoder for Short Binary Linear Block Codes." Applied Sciences 13, no. 7 (2023): 4371. http://dx.doi.org/10.3390/app13074371.

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The conventional soft decision decoding (SDD) methods require various hard decision decoders (HDDs) based on different codes or re-manipulate the generator matrix by the complicated Gaussian elimination technique according to the bit reliability. This paper presents a general multi-class neural network (NN)-based decoder for the short linear block codes, where no HDD and Gaussian elimination are required once the NN is constructed. This network architecture performs multi-classification to select the messages with high occurrence probabilities and chooses the best codeword on a maximum likelih

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Minja, Aleksandar, and Vojin Šenk. "Decoding of Z2S Linear Generalized Kerdock Codes." Mathematics 12, no. 3 (2024): 443. http://dx.doi.org/10.3390/math12030443.

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Many families of binary nonlinear codes (e.g., Kerdock, Goethals, Delsarte–Goethals, Preparata) can be very simply constructed from linear codes over the Z4 ring (ring of integers modulo 4), by applying the Gray map to the quaternary symbols. Generalized Kerdock codes represent an extension of classical Kerdock codes to the Z2S ring. In this paper, we develop two novel soft-input decoders, designed to exploit the unique structure of these codes. We introduce a novel soft-input ML decoding algorithm and a soft-input soft-output MAP decoding algorithm of generalized Kerdock codes, with a complex

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Grospellier, Antoine, Lucien Grouès, Anirudh Krishna, and Anthony Leverrier. "Combining hard and soft decoders for hypergraph product codes." Quantum 5 (April 15, 2021): 432. http://dx.doi.org/10.22331/q-2021-04-15-432.

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Hypergraph product codes are a class of constant-rate quantum low-density parity-check (LDPC) codes equipped with a linear-time decoder called small-set-flip (SSF). This decoder displays sub-optimal performance in practice and requires very large error correcting codes to be effective. In this work, we present new hybrid decoders that combine the belief propagation (BP) algorithm with the SSF decoder. We present the results of numerical simulations when codes are subject to independent bit-flip and phase-flip errors. We provide evidence that the threshold of these codes is roughly 7.5% assumin

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Sliman, Rajaa, and Ahmed Azouaoui. "Dual soft decoding of linear block codes using memetic algorithm." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 5 (2024): 5263. http://dx.doi.org/10.11591/ijece.v14i5.pp5263-5273.

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In this article we will approach the soft-decision decoding for the linear block codes, is a kind of decoding algorithms used to decode data to form better original estimated received message, it is considered as a NP-hard problem. In this article we present a new decoder using memetic algorithm such metaheuristic technic operates on the dual code rather than the code itself that aims to find the error caused when sending a codeword calculated from a message of k bits of information, the resulting codeword contains n bits, including the redundancy bits, the efficiency of an error-correcting co

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Lunglmayr, M., J. Berkmann, and M. Huemer. "Combined linear programming/belief propagation decoder." Electronics Letters 44, no. 12 (2008): 751. http://dx.doi.org/10.1049/el:20081200.

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Dissertations / Theses on the topic "Linear decoder"

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Lim, Melvin Chi Hearn. "Linear Precoder and Decoder Design for the Multiuser MIMO Downlink." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509007.

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Борисенко, Олексій Андрійович, Алексей Андреевич Борисенко, Oleksii Andriiovych Borysenko та Д. В. Гутенко. "Помехоустойчивость линейного дешифратора". Thesis, Изд-во СумГУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/4407.

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Collison, Sean Michael. "Extending the Dorsch decoder for efficient soft decision decoding of linear block codes." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Thesis/Spring2009/s_collison_042309.pdf.

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Thesis (M.S. in computer engineering)--Washington State University, May 2009.<br>Title from PDF title page (viewed on May 21, 2009). "School of Electrical Engineering and Computer Science." Includes bibliographical references (p. 64-65).

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Varadarajan, Badri. "The Design of Linear Space-Time Codes for Quasi-static Flat-fading Channels." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5030.

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The reliability and data rate of wireless communication have traditionally been limited by the presence of multipath fading in wireless channels. However, dramatic performance improvements can be obtained by the use of multiple transmit and receive antennas. Specifically, multiple antennas increase reliability by providing diversity gain, namely greater immunity to deep channel fades. They also increase data rates by providing multiplexing gain, i.e., the ability to multiplex multiple symbols in one signaling interval. Harvesting the potential benefits of multiple antennas requires the use o

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HICKS, CHRISTOPHER D. "PERFORMANCE ANALYSIS OF MIMO LINEAR PRECODERS/DECODERS." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1154397576.

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Coso, Sánchez Aitor del. "Achievable rates for Gaussian Channels with multiple relays." Doctoral thesis, Universitat Politècnica de Catalunya, 2008. http://hdl.handle.net/10803/6919.

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Los canales múltiple-entrada-múltiple-salida (MIMO) han sido ampliamente propuestos para superar los desvanecimientos aleatorios de canal en comunicaciones inalámbricas no selectivas en frecuencia. Basados en equipar tanto transmisores como receptores con múltiple antenas, sus ventajas son dobles. Por un lado, permiten al transmisor: i) concentrar la energía transmitida en una dirección-propia determinada, o ii) codificar entre antenas con el fin de superar desvanecimientos no conocidos de canal. Por otro lado, facilitan al receptor el muestreo de la señal en el dominio espacial. Esta operació

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Gregoratti, David. "Randomized space-time block coding for the multiple-relay channel." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/6949.

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En la última década, la cooperación entre usuarios ha generado un gran interés por la posibilidad de mejorar la velocidad de transmisión en las redes de comunicaciones inalámbricas. El objetivo es formar un array con las antenas de todos los dispositivos y, de esta forma, aplicar técnicas de procesado espacio-temporal. El esquema de cooperación más sencillo es el canal con relays: todos los terminales que escuchen una comunicación entre dos puntos pueden ayudar a la fuente retransmitiendo lo que hayan recibido.<br/><br/>En un sistema realista, los relays no disponen de información sobre el can

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Yang, Ming-Jer, and 楊明哲. "Error Protected Code Excited Linear Predictive Decoder for Robust." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/34992554793580767872.

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碩士<br>國立成功大學<br>電機工程研究所<br>82<br>In this thesis, we propose a line spectral frequencies (LSFs) interpolation algorithm and a stochastic gain predictor in the decoder to improve the speech quality when the transmission channel is contaminated by heavy noise. The LSFs transformed from the LPC coefficients possess ordinal characteristics, which provides a potential advantage against channel errors. In addition, the stochastic gain can be successfully estimated by a predic

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Doddi, Srujana. "VLSI design and implementation of non-linear decoder combined with linear decompressor to achieve greater test vector compression." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-05-1114.

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This paper investigates the cost-tradeoffs of implementing a test data compression technique previously presented in [Lee 06] which uses a small non-linear decoder combined with a linear decompressor to achieve greater test data compressions. The non-linear decoder is a sequential non-linear decompressor that exploits bit-wise and pattern-wise correlations in test vectors. This paper further emphasizes the design and implementation side of the proposed test data compressor. The linear decompressor used in this design is a Linear Feedback Shift Register (LFSR) which after choosing the right see

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Meng, Jin. "Linear Interactive Encoding and Decoding Schemes for Lossless Source Coding with Decoder Only Side Information." Thesis, 2008. http://hdl.handle.net/10012/3928.

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Near lossless source coding with side information only at the decoder, was first considered by Slepian and Wolf in 1970s, and rediscovered recently due to applications such as sensor network and distributed video coding. Suppose X is a source and Y is the side information. The coding scheme proposed by Slepian and Wolf, called SW coding, in which information only flows from the encoder to the decoder, was shown to achieve the rate H(X|Y) asymptotically for stationary ergodic source pairs, but not for non-ergodic case, shown by Yang and He. Recently, a new source coding paradigm called interact

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Books on the topic "Linear decoder"

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Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Marc, Fossorier, and United States. National Aeronautics and Space Administration., eds. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Feygin, G. A multiprocessor architecture for Viterbi decoders with linear speed-up. National Library of Canada = Bibliothèque nationale du Canada, 1992.

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Good trellises for IC implementation of Viterbi decoders for linear block codes. National Aeronautics and Space Administration, 1997.

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Sason, Igal, and Shlomo Shamai. Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial (Foundations and Trends(R) in Communications and Information Theory). Now Publishers Inc, 2006.

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Weisbard, Eric. Songbooks. Duke University Press, 2021. http://dx.doi.org/10.1215/9781478021391.

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In Songbooks, critic and scholar Eric Weisbard offers a critical guide to books on American popular music from William Billings's 1770 New-England Psalm-Singer to Jay-Z's 2010 memoir Decoded. Drawing on his background editing the Village Voice music section, coediting the Journal of Popular Music Studies, and organizing the Pop Conference, Weisbard connects American music writing from memoirs, biographies, and song compilations to blues novels, magazine essays, and academic studies. The authors of these works are as diverse as the music itself: women, people of color, queer writers, self-educa

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Silveira, Fernando Gaiger, Luana Passos, Matias Cardomingo, et al. Texto para Discussão 2956. Instituto de Pesquisa Econômica Aplicada (Ipea), 2024. http://dx.doi.org/10.38116/td2956-port.

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O presente texto contribui para a análise dos efeitos distributivos da política fiscal no Brasil utilizando um recorte que considera as características raciais e de gênero da população. Na linha de outras contribuições, identifica-se, com base na Pesquisa de Orçamentos Familiares (POF) 2017-2018, o impacto que as transferências monetárias, os tributos indiretos e os tributos diretos produzem sobre a distribuição de renda por estratos, considerados a partir de quatro categorias: homens brancos, mulheres brancas, homens negros e mulheres negras. Uma especificidade do estudo consiste em cotejar,

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Araújo, José Gustavo. A hora de Investir. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-496-8.

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Qual é a hora certa para começar a investir? Esta obra foi feita para você aprender e aprimorar seu conhecimento sobre finanças e investimentos. Ela é fruto de uma pesquisa no sistema financeiro nacional, no mercado de capitais e na economia brasileira, e apresenta uma fórmula desenvolvida e padronizada para ajudar o investidor a começar a crescer financeiramente e tomar decisões assertivas. De 1998 a 2020, o mercado de capitais cresceu 700%. Enquanto o movimento das taxas de juros teve uma queda. Em nossa sociedade, passamos por tempos caóticos quando o assunto é finanças. Existem muitos “gur

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Book chapters on the topic "Linear decoder"

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Gromniak, Martin, Sven Magg, and Stefan Wermter. "Neural Field Conditioning Strategies for 2D Semantic Segmentation." In Artificial Neural Networks and Machine Learning – ICANN 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44210-0_42.

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AbstractNeural fields are neural networks which map coordinates to a desired signal. When a neural field should jointly model multiple signals, and not memorize only one, it needs to be conditioned on a latent code which describes the signal at hand. Despite being an important aspect, there has been little research on conditioning strategies for neural fields. In this work, we explore the use of neural fields as decoders for 2D semantic segmentation. For this task, we compare three conditioning methods, simple concatenation of the latent code, Feature-wise Linear Modulation (FiLM), and Cross-A

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Hussain, Tassadaq, Ryandhimas E. Zezario, Yu Tsao, and Amir Hussain. "Speech Dereverberation Based on Self-supervised Residual Denoising Autoencoder with Linear Decoder." In Proceedings in Adaptation, Learning and Optimization. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55056-0_6.

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Kovalenko, I. N., and M. N. Savchuk. "On a Statistical Algorithm to Decode Heavily Corrupted Linear Codes." In International Series in Operations Research & Management Science. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5191-1_6.

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Jaminet, Jean, Gabriel Esquivel, and Shane Bugni. "Serlio and Artificial Intelligence: Problematizing the Image-to-Object Workflow." In Proceedings of the 2021 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_1.

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AbstractVirtual design production demands that information be increasingly encoded and decoded with image compression technologies. Since the Renaissance, the discourses of language and drawing and their actuation by the classical disciplinary treatise have been fundamental to the production of knowledge within the building arts. These early forms of data compression provoke reflection on theory and technology as critical counterparts to perception and imagination unique to the discipline of architecture. This research examines the illustrated expositions of Sebastiano Serlio through the lens

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More, Shammi, Simon B. Eickhoff, Julian Caspers, and Kaustubh R. Patil. "Confound Removal and Normalization in Practice: A Neuroimaging Based Sex Prediction Case Study." In Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67670-4_1.

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AbstractMachine learning (ML) methods are increasingly being used to predict pathologies and biological traits using neuroimaging data. Here controlling for confounds is essential to get unbiased estimates of generalization performance and to identify the features driving predictions. However, a systematic evaluation of the advantages and disadvantages of available alternatives is lacking. This makes it difficult to compare results across studies and to build deployment quality models. Here, we evaluated two commonly used confound removal schemes–whole data confound regression (WDCR) and cross

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Khebbou, Driss, Idriss Chana, and Hussain Ben-Azza. "A New Approach to Construction and Decoding of Linear Block Codes Based on Polar Codes." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0497-6.ch008.

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In the field of channel coding theory, there are two main branches. The first is related to the design and construction of codes capable of facilitating identification of errors at the receiver despite potential alterations during transmission; this is known as the encoding operation. The second branch focuses on developing mechanisms for correcting errors caused by the transmission channel, by devising valid and suitable algorithms; this is known as the decoding operation. The authors have delved into both aspects. In the first part, a novel method for constructing good linear codes is studie

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Yassin, Warusia Mohamed, Asif Iqbal Hajamydeen, Mohd Faizal Abdollah, Kumar Raja, and Nurin Farzana. "An Enhanced Integrated Deep Learning Method to Overcome Dehazing Issues on Intelligent Vehicles." In Advances in Electronic Government, Digital Divide, and Regional Development. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-6740-7.ch020.

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Intelligent vehicles rely on accurate perception systems for safe navigation under challenging environmental conditions. However, adverse weather phenomena such as haze and fog significantly degrade the quality of visual input captured by onboard cameras. In this study, we propose a novel deep-learning algorithm specifically utilizes an advanced convolutional neural network (CNN) architecture that features parallel networks, encoder-decoder configurations, He Normal initialization, batch normalization, and the Gaussian Error Linear Unit (GELU) activation function. This integration not only imp

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S., Shiyamala, Vijay Soorya J., Sanjay P. S., and Sathappan K. "Network-on-Chip for Low Power MAP Decoder Using Folded Technique and CORDIC Algorithm for 5G Network." In Design Methodologies and Tools for 5G Network Development and Application. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4610-9.ch005.

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With different constraint length (K), time scale, and code rate, modified MAP (maximum a posteriori) decoder architecture using folding technique, which has a linear life time chart, is developed, and dedicated turbo codes will be placed in a network-on-chip for various wireless applications. Folded techniques mitigated the number of latches used in interleaving and deinterleaving unit by adopting forward and backward resource utilizing method to M-2, where M is the number of rows and end-to-end delay get reduced to 2M. By replacing conventional full adder by high speed adder using 2 x 1 multi

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LISBOA DUARTE, CARLOS, and PATRICIO LUIZ DE ANDRADE. "RESOLUÇÃO DE SISTEMAS LINEARES HOMOGÊNEOS DE EDOS DE PRIMEIRA ORDEM POR MEIO DE AUTOVALORES E AUTOVETORES." In Ciência e democracia - o que essa relação depende de nós? Editora Realize, 2022. http://dx.doi.org/10.46943/vii.conapesc.2022.01.084.

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O presente trabalho objetiva apresentar de forma simplificada e didática, a resolução de sistemas lineares homogêneos de EDOs de primeira ordem com coeficientes constantes, fazendo, para isso, a aplicação dos conceitos de autovalores e autovetores para encontrar de forma analítica, quando possível, a solução geral que irá satisfazer tais sistemas em um intervalo I. No que tange aos procedimentos metodológicos aplicados na construção do referido trabalho, podemos evidenciar que a pesquisa se deu por meio de uma revisão bibliográfica pautada nos estudos de autores como: Boyce e DiPrima, Zill e C

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Guo, Yi, Sinan Gok, and Mesut Sahin. "Convolutional Networks Outperform Linear Decoders in Predicting EMG from Spinal Cord Signals." In Prime Archives in Neuroscience. Vide Leaf, Hyderabad, 2020. http://dx.doi.org/10.37247/pans.1.2020.15.

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Conference papers on the topic "Linear decoder"

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Farchane, Abderrazak, and Mostafa Belkasmi. "New decoder for linear block codes." In 2016 International Conference on Advanced Communication Systems and Information Security (ACOSIS). IEEE, 2016. http://dx.doi.org/10.1109/acosis.2016.7843939.

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Hadi, Ahmed S. "Linear block code decoder using neural network." In 2008 IEEE International Joint Conference on Neural Networks (IJCNN 2008 - Hong Kong). IEEE, 2008. http://dx.doi.org/10.1109/ijcnn.2008.4633938.

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Akoa, Brice Ekobo, Emmanuel Simeu, and Fritz Lebowsky. "Video decoder monitoring using non-linear regression." In 2013 IEEE 19th International On-Line Testing Symposium (IOLTS). IEEE, 2013. http://dx.doi.org/10.1109/iolts.2013.6604073.

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Fawzi, Omar, Lucien Groues, and Anthony Leverrier. "Linear programming decoder for hypergraph product quantum codes." In 2020 IEEE Information Theory Workshop (ITW). IEEE, 2021. http://dx.doi.org/10.1109/itw46852.2021.9457611.

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Berbia, Hassan, Faissal Elbouanani, Mostafa Belkasmi, and Rahal Romadi. "An Enhanced Genetic Algorithm Based Decoder for Linear Codes." In International Conference on Information and Communication Technologies from Theory to Applications - ICTTA'08. IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530229.

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Larue, Guillaume, Louis-Adrien Dufrene, Quentin Lampin, Paul Chollet, Hadi Ghauch, and Ghaya Rekaya. "Blind Neural Belief Propagation Decoder for Linear Block Codes." In 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE, 2021. http://dx.doi.org/10.1109/eucnc/6gsummit51104.2021.9482479.

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De Boni Rovella, Gastón, and Meryem Benammar. "Improved Syndrome-based Neural Decoder for Linear Block Codes." In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10436980.

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Sharma, Prachi, and Anil Gupta. "Decoder and pass transistor based digitally controlled linear delay element." In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2014. http://dx.doi.org/10.1109/icacci.2014.6968252.

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Wang, Xiaolei, and Athanassios Manikas. "Joint Linear Precoder-Decoder Optimization over MIMO-CDMA Multipath Channels." In 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2007. http://dx.doi.org/10.1109/pimrc.2007.4394041.

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Gu, Shouzhen, Christopher A. Pattison, and Eugene Tang. "An Efficient Decoder for a Linear Distance Quantum LDPC Code." In STOC '23: 55th Annual ACM Symposium on Theory of Computing. ACM, 2023. http://dx.doi.org/10.1145/3564246.3585169.

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