Literatura académica sobre el tema "Multiple-Model coding"
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Artículos de revistas sobre el tema "Multiple-Model coding"
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Qing, Linbo, Xiaohai He, Xianfeng Ou y Rui Lv. "Distributed Video Coding Based on Multiple-source Correlation Model". Applied Mathematics & Information Sciences 7, n.º 4 (1 de julio de 2013): 1609–14. http://dx.doi.org/10.12785/amis/070447.
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Zhou, Yugang y 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.
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Zhang, Jinlin, Jun Shao, Yun Ling, Min Ji, Guiyi Wei y Bishan Ying. "Efficient multiple sources network coding signature in the standard model". Concurrency and Computation: Practice and Experience 27, n.º 10 (25 de julio de 2014): 2616–36. http://dx.doi.org/10.1002/cpe.3322.
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WANG, NING y LIZHONG PENG. "BALANCED MULTIPLE DESCRIPTION SUBBAND CODING". International Journal of Wavelets, Multiresolution and Information Processing 09, n.º 04 (julio de 2011): 571–86. http://dx.doi.org/10.1142/s0219691311004225.
Texto completoResumen
Multiple description coding is one of the source coding techniques used to alleviate the problems of packet loss in network. The objective is to encode a source into two (or more) bitstreams supporting two quality levels of decoding: A high-quality reconstruction decoded from the two bitstreams together, and two lower ones, but still acceptable, decoded from either of the two bitstreams individually. Most of the earlier works concentrated on the trade-off between redundancy and average side distortion, which is insufficient to evaluate the system performance. In this paper, we discuss the difference in quality between the two side reconstructions, which is defined as the balance eccentric modulus of the coding system. A scenario to design balanced multiple description coding system is presented. Application to the popular first-order autoregressive model yields encouraging results.
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Bai, Yang, Xuan Guang y Raymond W. Yeung. "Multiple Linear-Combination Security Network Coding". Entropy 25, n.º 8 (28 de julio de 2023): 1135. http://dx.doi.org/10.3390/e25081135.
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In this paper, we put forward the model of multiple linear-combination security multicast network coding, where the wiretapper desires to obtain some information about a predefined set of multiple linear combinations of the source symbols by eavesdropping any one (but not more than one) channel subset up to a certain size r, referred to as the security level. For this model, the security capacity is defined as the maximum average number of source symbols that can be securely multicast to all sink nodes for one use of the network under the linear-combination security constraint. For any security level and any linear-combination security constraint, we fully characterize the security capacity in terms of the ratio of the rank of the linear-combination security constraint to the number of source symbols. Also, we develop a general construction of linear security network codes. Finally, we investigate the asymptotic behavior of the security capacity for a sequence of linear-combination security models and discuss the asymptotic optimality of our code construction.
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Li, Shizheng y Aditya Ramamoorthy. "Multiple-Source Slepian-Wolf Coding Under a Linear Equation Correlation Model". IEEE Transactions on Communications 60, n.º 9 (septiembre de 2012): 2402–7. http://dx.doi.org/10.1109/tcomm.2012.070912.110062.
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Swanson, H. Lee. "Verbal coding deficits in learning-disabled readers: A multiple stage model". Educational Psychology Review 1, n.º 3 (septiembre de 1989): 235–77. http://dx.doi.org/10.1007/bf01320136.
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Greenberg, Jane, Shaun Trujillo y Ketan Mayer-Patel. "YouTube: Applying FRBR and Exploring the Multiple Description Coding Compression Model". Cataloging & Classification Quarterly 50, n.º 5-7 (junio de 2012): 742–62. http://dx.doi.org/10.1080/01639374.2012.681273.
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Wang, Cui Yan, Wei Sheng Du y Jun Wang. "Optimization Algorithm Study for Multiple-Constrained and Multiple-Objective Job-Shop Tool Dynamic Distribution". Applied Mechanics and Materials 551 (mayo de 2014): 612–16. http://dx.doi.org/10.4028/www.scientific.net/amm.551.612.
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It’s an NP problem for distributing tools for job-shop tasks when the schedules were formulated, and it belongs to multiple-constrained and multiple-objective problem. Based on adaptive weight approach, the restriction and multiple objective problems were solved. The optimization dynamic distribution model for this problem was established. Then heuristic and self-adaptive genetic algorithm was presented. In order to express the dynamic of the distribution result, Two-dimensional coding technology was adopted, a new coding rule combining dispatching rule was designed. The results show that hybrid self-adaptive genetic algorithm based on adaptive weight approach forms well for multiple-constrained and multiple-objective job-shop tool dynamic distribution.
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Lee, Bum-Jik, Young-Hoon Joo y 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 diciembre de 2002): 497–502. http://dx.doi.org/10.5391/jkiis.2002.12.6.497.
Texto completoTesis sobre el tema "Multiple-Model coding"
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Presvôts, Corentin. "Multiple-Model Coding Scheme for Electrical Signal Compression". Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG007.
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L'intégration des sources d'énergie renouvelables dans le réseau électrique introduit une dynamique plus complexe, nécessitant un contrôle plus efficace et à faible latence. Ce contrôle exige la transmission de gros volumes de données des sous-stations aux centres de contrôle supérieurs. Pour répondre aux contraintes de débit du réseau, il est crucial de développer des techniques de compression efficaces, adaptées aux caractéristiques spécifiques des signaux électriques. Actuellement, les Phasor Measurement Units (PMUs) sont les dispositifs les plus couramment utilisés pour acquérir et compresser ces signaux. Cependant, les PMUs ne peuvent pas représenter avec précision les transitoires rapides. Dans la première partie de cette thèse, une méthode de compression utilisant des réseaux de neurones, basée sur des Auto-encodeurs variationnels (VAEs), est décrite. Cette méthode, initialement développée pour la compression d'images, est adaptée dans cette thèse à la compression des échantillons de signaux électriques. Le principe repose sur l'optimisation de l'étape de transformation en minimisant un compromis débit-distorsion sur un ensemble de signaux électriques d'entraînement. Cette méthode permet d'optimiser l'ensemble de la chaîne de compression en tenant compte de la quantification et du codage entropique, offrant ainsi de meilleures performances en moyenne que les méthodes classiques non entraînables, utilisant par exemple une transformée en cosinus discrètes (DCT) ou une transformée en ondelettes discrètes (DWT).La seconde partie décrit un schéma de codage multi-modèles (MMC) proposé pour la compression des échantillons de signaux électriques. Pour réduire la latence, l'approche MMC opère sur des fenêtres d'environ une période électrique (de l'ordre de la latence des PMUs), contenant donc un nombre limité d'échantillons. Dans un premier étage de compression, plusieurs modèles paramétriques de signaux sont comparés (modèles sinusoïdaux, polynomiaux ou encore prédictifs) pour obtenir une représentation grossière du signal électrique. Dans un deuxième étage, plusieurs techniques de codage par transformation sont utilisées pour compresser le résidu de reconstruction du premier étage. Les transformations utilisées sont, la DCT, la DWT et les VAEs mentionnés précédemment. Les paramètres du modèle sont quantifiés et l'allocation du budget de débit entre les deux étages est optimisée en fonction d'un débit cible. Néanmoins, imposer une contrainte de budget entraîne des variations dans la qualité de reconstruction des signaux échantillonnés, ce qui peut ne pas répondre aux exigences strictes de qualité de reconstruction imposées par les utilisateurs finaux.Une troisième partie vise donc à déterminer le budget de bits minimum nécessaire pour respecter une contrainte de distorsion maximale imposée. Le degré de liberté supplémentaire, offert par le choix du budget total, augmente la complexité de l'approche MMC par rapport à sa variante à débit fixe et peut être incompatible avec les contraintes de temps réel. Deux méthodes distinctes sont proposées pour la sélection du modèle et l'allocation des bits entre les deux étages. La première méthode repose sur une recherche exhaustive pour déterminer le nombre de bits à allouer aux deux étages de compression. La seconde méthode utilise une recherche par section dorée. Le coût de calcul de ces deux approches est encore réduit en amont grâce à une estimation préalable du meilleur modèle et de l'allocation optimale du budget de bits entre les deux étages, de manière à satisfaire la contrainte de distorsion. Cette estimation s'appuie sur des modèles débit-distorsionThe 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
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Li, Xiaohuan. "Multiple Global Affine Motion Models Used in Video Coding". Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14631.
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With low bit rate scenarios, a hybrid video coder (e.g. AVC/H.264) tends to allocate greater portion of bits for motion vectors, while saving bits on residual errors. According to this fact, a coding scheme with non-normative global motion models in combination with conventional local motion vectors is proposed, which describes the motion of a frame by the affine motion parameter sets drawn by motion segmentation of the luminance channel. The motion segmentation task is capable of adapting the number of motion objects to the video contents. 6-D affine model sets are driven by linear regression from the scalable block-based motion fields estimated by the existent MPEG encoder. In cases that the number of motion objects exceeds a certain threshold, the global affine models are disabled. Otherwise the 4 scaling factors of the affine models are compressed by a vector quantizer, designed with a unique cache memory for efficient searching and coding. The affine motion information is written in the slice header as a syntax. The global motion information is used for compensating those macroblocks whose Lagrange cost is minimized by the AFFINE mode. The rate-distortion cost is computed by a modified Lagrange equation, which takes into consideration the perceptual discrimination of human vision in different areas.
Besides increasing the coding efficiency, the global affine model manifests the following two features that refine the compressed video quality. i) When the number of slices per frame is more than 1, the global affine motion model can enhance the error-resilience of the video stream, because the affine motion parameters are duplicated in the headers of different slices over the same frame. ii) The global motion model predicts a frame by warping the whole reference frame and this helps to decrease blocking artifacts in the compensation frame.
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Abouseif, Akram. "Emerging DSP techniques for multi-core fiber transmission systems". Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT013.
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Les systèmes de communication optique ont connu plusieurs phases de développement au cours des dernières décennies. Ils approchent aujourd'hui les limites de capacité du cana non-linéaire. L'espace est aujourd'hui le dernier degré de liberté à mettre en œuvre afin de continuer à répondre aux demandes de capacité à venir pour les prochaines années. Par conséquent, des recherches intensives sont menées pour explorer tous les aspects concernant le déploiement du système de multiplexage par division spatiale (SDM). Plusieurs dégradations ont un impact sur les systèmes SDM en raison de l'interaction des canaux spatiaux qui dégrade les performances du système. Dans cette thèse, nous nous concentrons sur les fibres multicœurs (MCF) comme l'approche la plus prometteuse pour être le premier représentant du système SDM. Nous présentons différentes solutions numériques et optiques pour atténuer l'effet non unitaire connu sous le nom de perte dépendante du cœur (CDL). La première partie est consacrée à l'étude des performances de la transmission MCF en tenant compte des dégradations de propagation qui impactent les systèmes MCF. Nous proposons un modèle de canal qui aide à identifier le système MCF. La deuxième partie est consacrée à la technique optique pour améliorer les performances de transmission avec une solution optimale pour la réduction des CDL. Ensuite, nous avons introduit des techniques numériques pour des améliorations supplémentaires, la pré-compensation Zero Forcing et le codage spatio-temporel pour une atténuation CDL supplémentaire. Tous les résultats de simulation sont validés analytiquement en dérivant les bornes supérieures de probabilité d'erreurOptical 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
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Wen, Shan-Tsun y 溫善淳. "Auto-Regressive Model Enhanced Multiple Description Coding". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/74788150929379530898.
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碩士國立交通大學
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.
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Wang, Ching-Yen y 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.
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碩士國立交通大學
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.
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Varshneya, Virendra K. "Distributed Coding For Wireless Sensor Networks". Thesis, 2005. https://etd.iisc.ac.in/handle/2005/1409.
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Varshneya, Virendra K. "Distributed Coding For Wireless Sensor Networks". Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1409.
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Bhavani, Shankar M. R. "Design Of Linear Precoded MIMO Communication Systems". Thesis, 2007. https://etd.iisc.ac.in/handle/2005/558.
Texto completoResumen
This work deals with the design of MT transmit, MR receive antenna MIMO (Multiple Input Multiple Output) communication system where the transmitter performs a linear operation on data. This linear precoding model includes systems which involve signal shaping for achieving higher data rates, uncoded MIMO Multicarrier and Single-Carrier systems and, the more recent, MIMO-OFDM (Orthogonal Frequency Division Multiplexing) systems employing full diversity Space-Frequency codes. The objective of this work is to design diversity centric and rate centric linear precoded MIMO systems whose performance is better than the existing designs. In particular, we consider MIMO-OFDM systems, Zero Padded MIMO systems and MIMO systems with limited rate feedback. Design of full diversity MIMO-OFDM systems of rate symbol per channel use (1 s/ pcu) : In literature, MIMO-OFDM systems exploiting full diversity at a rate of 1 s/ pcu are based on a few specific Space-Frequency (SF)/ Space-Time-Frequency (STF) codes. In this work, we devise a general parameterized framework for the design of MIMO-OFDM systems employing full diversity STF codes of rate 1 s/ pcu. This framework unifies all existing designs and provides tools for the design of new systems with interesting properties and superior performance. Apart from rate and diversity, the parameters of the framework are designed for a low complexity receiver. The parameters of the framework usually depend on the channel characteristics (number of multipath, Delay Profile (DP)). When channel characteristics are available at the transmitter, a procedure to optimize the performance of STF codes is provided. The resulting codes are termed as DP optimized codes. Designs obtained using the optimization are illustrated and their performance is shown to be better than the existing ones. To cater to the scenarios where channel characteristics are not available at the transmitter, a complete characterization of a class of full diversity DP Independent (DPI) STF codes is provided. These codes exploit full diversity on channels with a given number of multipath irrespective of their characteristics. Design of DP optimized STF codes and DPI codes from the same framework highlights the flexibility of the framework.
Design of Zero Padded (ZP) MIMO systems : While the MIMO-OFDM transmitter needs to precode data for exploiting channel induced multipath diversity, ZP MIMO systems with ML receivers are shown to exploit multipath diversity without any precoding. However, the receiver complexity of such systems is enormous and hence a study ZP MIMO system with linear receivers is undertaken. Central to this study involves devising low complexity receivers and deriving the diversity gain of linear receivers. Reduced complexity receiver implementations are presented for two classes of precoding schemes. An upper bound on the diversity gain of linear receivers is evaluated for certain precoding schemes. For uncoded systems operating on a channel of length L, this bound is shown to be MRL_MT +1 for uncoded transmissions, i.e, such systems tend to exploit receiver and multipath diversities. On the other hand, MIMO-OFDM systems designed earlier have to trade diversity with receiver complexity. These observations motivate us to use ZP MIMO systems with linear receivers for channels with large delay spread when receiver complexity is at a premium. Design examples highlighting the attractiveness of ZP systems when employed on channels with large delay spread are also presented.
Efficient design of MIMO systems with limited feedback : Literature presents a number of works that consider the design of MIMO systems with partial feedback. The works that consider feedback of complete CSI, however, do not provide for an efficient system design. In this work, we consider two schemes, Correlation matrix feedback and Channel information feedback that convey complete CSI to the transmitter. This CSI is perturbed due to various impairments. A perturbation analysis is carried out to study the variations in mutual information for each of the proposed schemes. For ergodic channels, this analysis is used to design a MIMO system with a limited rate feedback. Using a codebook based approach, vector quantizers are designed to minimize the loss in ergodic capacity for each of the proposed schemes. The efficiency of the design stems from the ability to obtain closed-form expression for centroids during the iterative vector quantizer design. The performance of designed vector quantizers compare favorably with the existing designs. The vector quantizer design for channel information feedback is robust in the sense that the same codebook can be used across all operating SNR. Use of vector quantizers for improving the outage performance is also presented.
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Bhavani, Shankar M. R. "Design Of Linear Precoded MIMO Communication Systems". Thesis, 2007. http://hdl.handle.net/2005/558.
Texto completoResumen
This work deals with the design of MT transmit, MR receive antenna MIMO (Multiple Input Multiple Output) communication system where the transmitter performs a linear operation on data. This linear precoding model includes systems which involve signal shaping for achieving higher data rates, uncoded MIMO Multicarrier and Single-Carrier systems and, the more recent, MIMO-OFDM (Orthogonal Frequency Division Multiplexing) systems employing full diversity Space-Frequency codes. The objective of this work is to design diversity centric and rate centric linear precoded MIMO systems whose performance is better than the existing designs. In particular, we consider MIMO-OFDM systems, Zero Padded MIMO systems and MIMO systems with limited rate feedback. Design of full diversity MIMO-OFDM systems of rate symbol per channel use (1 s/ pcu) : In literature, MIMO-OFDM systems exploiting full diversity at a rate of 1 s/ pcu are based on a few specific Space-Frequency (SF)/ Space-Time-Frequency (STF) codes. In this work, we devise a general parameterized framework for the design of MIMO-OFDM systems employing full diversity STF codes of rate 1 s/ pcu. This framework unifies all existing designs and provides tools for the design of new systems with interesting properties and superior performance. Apart from rate and diversity, the parameters of the framework are designed for a low complexity receiver. The parameters of the framework usually depend on the channel characteristics (number of multipath, Delay Profile (DP)). When channel characteristics are available at the transmitter, a procedure to optimize the performance of STF codes is provided. The resulting codes are termed as DP optimized codes. Designs obtained using the optimization are illustrated and their performance is shown to be better than the existing ones. To cater to the scenarios where channel characteristics are not available at the transmitter, a complete characterization of a class of full diversity DP Independent (DPI) STF codes is provided. These codes exploit full diversity on channels with a given number of multipath irrespective of their characteristics. Design of DP optimized STF codes and DPI codes from the same framework highlights the flexibility of the framework.
Design of Zero Padded (ZP) MIMO systems : While the MIMO-OFDM transmitter needs to precode data for exploiting channel induced multipath diversity, ZP MIMO systems with ML receivers are shown to exploit multipath diversity without any precoding. However, the receiver complexity of such systems is enormous and hence a study ZP MIMO system with linear receivers is undertaken. Central to this study involves devising low complexity receivers and deriving the diversity gain of linear receivers. Reduced complexity receiver implementations are presented for two classes of precoding schemes. An upper bound on the diversity gain of linear receivers is evaluated for certain precoding schemes. For uncoded systems operating on a channel of length L, this bound is shown to be MRL_MT +1 for uncoded transmissions, i.e, such systems tend to exploit receiver and multipath diversities. On the other hand, MIMO-OFDM systems designed earlier have to trade diversity with receiver complexity. These observations motivate us to use ZP MIMO systems with linear receivers for channels with large delay spread when receiver complexity is at a premium. Design examples highlighting the attractiveness of ZP systems when employed on channels with large delay spread are also presented.
Efficient design of MIMO systems with limited feedback : Literature presents a number of works that consider the design of MIMO systems with partial feedback. The works that consider feedback of complete CSI, however, do not provide for an efficient system design. In this work, we consider two schemes, Correlation matrix feedback and Channel information feedback that convey complete CSI to the transmitter. This CSI is perturbed due to various impairments. A perturbation analysis is carried out to study the variations in mutual information for each of the proposed schemes. For ergodic channels, this analysis is used to design a MIMO system with a limited rate feedback. Using a codebook based approach, vector quantizers are designed to minimize the loss in ergodic capacity for each of the proposed schemes. The efficiency of the design stems from the ability to obtain closed-form expression for centroids during the iterative vector quantizer design. The performance of designed vector quantizers compare favorably with the existing designs. The vector quantizer design for channel information feedback is robust in the sense that the same codebook can be used across all operating SNR. Use of vector quantizers for improving the outage performance is also presented.
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"Differential modulation and non-coherent detection in wireless relay networks". Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-01-1399.
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The technique of cooperative communications is finding its way in the next generations of many wireless communication applications. Due to the distributed nature of cooperative
networks, acquiring fading channels information for coherent detection is more challenging than in the traditional point-to-point communications. To bypass the requirement of channel information, differential modulation together with non-coherent detection can be deployed. This thesis is concerned with various issues related to differential modulation and
non-coherent detection in cooperative networks. Specifically, the thesis examines the behavior and robustness of non-coherent detection in mobile environments (i.e., time-varying
channels). The amount of channel variation is related to the normalized Doppler shift which is a function of user’s mobility. The Doppler shift is used to distinguish between slow time-varying
(slow-fading) and rapid time-varying (fast-fading) channels. The performance of
several important relay topologies, including single-branch and multi-branch dual-hop relaying with/without a direct link that employ amplify-and-forward relaying and two-symbol non-coherent detection, is analyzed. For this purpose, a time-series model is developed for characterizing the time-varying nature of the cascaded channel encountered in amplify-and-forward relaying. Also, for single-branch and multi-branch dual-hop relaying without a direct link, multiple-symbol differential detection is developed.
First, for a single-branch dual-hop relaying without a direct link, the performance of
two-symbol differential detection in time-varying Rayleigh fading channels is evaluated. It is seen that the performance degrades in rapid time-varying channels. Then, a multiple-symbol differential detection is developed and analyzed to improve the system performance in fast-fading channels. Next, a multi-branch dual-hop relaying with a direct link is considered. The performance of this relay topology using a linear combining method and two-symbol differential detection is examined in time-varying Rayleigh fading channels. New combining weights are proposed and shown to improve the system performance in fast-fading channels. The performance of the simpler selection combining at the destination is also investigated in general time-varying channels. It is illustrated that the selection combining method performs very close to that of the linear combining method. Finally, differential distributed space-time
coding is studied for a multi-branch dual-hop relaying network without a direct link. The performance of this network using two-symbol differential detection in terms of diversity over time-varying channels is evaluated. It is seen that the achieved diversity is severely affected by the channel variation. Moreover, a multiple-symbol differential detection is designed
to improve the performance of the differential distributed space-time coding in fast-fading channels.
Capítulos de libros sobre el tema "Multiple-Model coding"
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Shao, Jun, Jinlin Zhang, Yun Ling, Min Ji, Guiyi Wei y Bishan Ying. "Multiple Sources Network Coding Signature in the Standard Model". En 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.
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Ahlswede, Rudolf. "Coding for the Multiple-Access Channel: The Combinatorial Model". En 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.
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Coyle, Yvette. "Chapter 14. Setting up a coding scheme for the analysis of the dynamics of children’s engagement with written corrective feedback". En 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.
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This chapter describes the development of a coding scheme for the analysis of young English as a foreign language learners’ engagement with model texts. After outlining the theoretical rationale underlying our analytical procedure, and the methodological problems we experienced when attempting to apply constructs developed in research with adults to a younger and less proficient group of learners, I go on to explain the multiple steps involved in our process-product analysis. Careful triangulation of different measures including the children’s written texts, handwritten notes, and transcripts of their collaborative dialogue across two multi-stage tasks, enabled us to identify a series of trajectories involving diverse combinations of noticing, strategic problem-solving, and degrees of uptake. The coding categories and methodological decisions are illustrated with examples from the children’s data. Limitations in the procedure are also highlighted.
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Lessa, Felipe, Daniele Martins Neto, Kátia Guimarães, Marcelo Brigido y Maria Emilia Walter. "Regene: Automatic Construction of a Multiple Component Dirichlet Mixture Priors Covariance Model to Identify Non-coding RNA". En Bioinformatics Research and Applications, 380–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21260-4_36.
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Menges, Uta, Jonas Hielscher, Annette Kluge y M. Angela Sasse. "Work in Progress – Brick by Brick: Using a Structured Building Blocks Method to Engage Participants and Collect IT Security Insights". En Lecture Notes in Computer Science, 134–45. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83072-3_8.
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Abstract Qualitative research methods from psychology and social sciences are feasible tools to gain deep understandings of people’s IT security behaviour, knowledge, sentiments and routines. One of these methods, individuals’ own expression in the form of drawings, sketches, charts and other visual representations, are important to understand deep knowledge and mental models. However, those methods are, to some degree, dependent on the artistic skills of the participants – those that are not confident in their handwriting and drawing might engage less. Building Blocks (sets of interlocking bricks) require less artistic ability and it is very easy to engage participants – they can just start building. IT security researchers already used such bricks to model participants thoughts, but in heterogeneous ways. We on the other hand used the LEGO $$^{\copyright }$$ SERIOUS PLAY $$^{\copyright }$$ (LSP) method – that describes a structured way on how to build models – to conduct four workshops (with $$n=48$$ participants in total), in which the participants were asked to build multiple models of everyday IT security in different contexts. We performed a first initial coding of the pictures we took during the workshops. In this paper we report our research method, what we did to improve the workshops and data collection and what we learned so far by using LSP.
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Shipp, Stewart y Karl Friston. "Predictive Coding". En 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.
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Abstract Predictive coding algorithms specify reciprocal message passing between hierarchical levels of a modular computation; likewise, the cerebral cortex can be characterized as a hierarchical arrangement of areas communicating via reciprocal forward and backward pathways. If the former is a model for the latter, it imposes several constraints over the micro- and macro-structure of pathways linking cortical areas, for example: which classes of neuron, with identified computational roles, make direct contact with each other; the topographic specificity of reciprocal connections, as realized through convergent and divergent connectivity; and the relative incidence of “manifold” processing (axonal distribution to multiple targets) in forward and backward connections. These issues are examined with reference to the visual system in mouse and monkey, with the conclusion that the mainstream organization of connectivity is largely compliant. Judicious expansion of the theoretical framework can accommodate some anomalous aspects of connectivity, and predict elements yet to be investigated experimentally.
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Cormier, Ben. "Testing the Partisan Model". En How Governments Borrow, 57–79. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198882732.003.0003.
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Abstract Chapter 3 quantitatively tests for the observable implications of Chapter 2’s partisan EM external borrowing model. The hypothesis is that left-leaning EM governments borrow proportionally more from markets. Tests rely on multiple datasets and measures of partisanship. This includes the Varieties of Party dataset (coding the importance of labor and the poor to governing party constituencies) and the Database of Political Institutions dataset (coding governing party economic ideology). Across measures of partisanship, controlling for supply-side push factors, and controlling for borrower economic and political features traditionally thought to pull finance to EM governments, the chapter finds robust econometric evidence in support of the book’s partisan model of EM external borrowing.
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"YouTube: Applying FRBR and Exploring the Multiple Description Coding Compression Model". En The FRBR Family of Conceptual Models, 398–418. Routledge, 2014. http://dx.doi.org/10.4324/9781315829661-28.
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Hayashi, Sachiko. "Multiple layers of gene-expression regulatory mechanisms during fermentation and respiration". En New Advances in Saccharomyces [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1003912.
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Saccharomyces cerevisiae is widely used as a model organism for eukaryotic cells and generally prefers fermentation rather than respiration even under an aerobic environment. Only when glucose is exhausted, S. cerevisiae switches to aerobic respiration via massive reprogramming of gene expression accompanying that. These gene-expression changes are not simply achieved by the transcriptional level, rather multiple post-transcriptional regulatory steps are also involved. This chapter outlines how budding yeast cells coordinate energy metabolisms based on gene expression, with a focus on the intricate interplay of multiple post-transcriptional regulatory mechanisms. Especially, it includes the roles of RNA-binding proteins as well as non-coding RNAs for post-transcriptional regulations.
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França, Reinaldo Padilha, Yuzo Iano, Ana Carolina Borges Monteiro y Rangel Arthur. "Improvement for Channels With Multipath Fading (MF) Through the Methodology CBEDE". En 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.
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The present study aims to implement a discrete event simulation (DES)-based model. This model is called coding of bits for entities by means of discrete events (CBEDE) and aims to improve the transmission of content in wireless telecommunication systems. This is done by applying advanced modulation format DQPSK in a simulation environment, the Simulink of the MATLAB software, through a pre-coding process of bits applying discrete events in the signal before of the modulation process, occurring in the discrete domain with the implementation of discrete entities in the process of bit generation applied at a low level of abstraction in a wireless telecommunication system. The results show improvements of 89.08% in memory utilization, related to information compression, in the context of the research. Therefore, the presented results of the proposed methodology show an enormous potential for the non-orthogonal multiple access (NOMA) contexts, credited as the future 5G, and can compensate for the additional complexity brought by the techniques to the telecommunications channel.
Actas de conferencias sobre el tema "Multiple-Model coding"
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Satti, Shahid M., Nikos Deligiannis, Adrian Munteanu, Peter Schelkens y Jan Cornelis. "A model-based analysis of scalable Multiple Description Coding". En 2011 17th International Conference on Digital Signal Processing (DSP). IEEE, 2011. http://dx.doi.org/10.1109/icdsp.2011.6004891.
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Alsabbagh, J. R. y V. V. Raghavan. "A model for multiple-query processing based upon strong factoring". En International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286511.
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Sagetong, P. y A. Ortega. "Analytical model-based bit allocation for wavelet coding with applications to multiple description coding and region of interest coding". En IEEE International Conference on Multimedia and Expo, 2001. ICME 2001. IEEE, 2001. http://dx.doi.org/10.1109/icme.2001.1237645.
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Zaveri, M. A., S. N. Merchant y U. B. Desai. "Arbitrary trajectories tracking using multiple model based particle filtering in infrared image sequence". En International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286530.
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Shahnawazuddin, S. y Rohit Sinha. "A low complexity model adaptation approach involving sparse coding over multiple dictionaries". En Interspeech 2014. ISCA: ISCA, 2014. http://dx.doi.org/10.21437/interspeech.2014-498.
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Kabatiansky, Grigory y Elena Egorova. "Adversarial multiple access channels and a new model of multimedia fingerprinting coding". En 2020 IEEE Conference on Communications and Network Security (CNS). IEEE, 2020. http://dx.doi.org/10.1109/cns48642.2020.9162248.
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Kulatunga, Harini y V. Kadirkamanathan. "Space-Time Block Coding: Joint Detection and Channel Estimation using Multiple Model Theory". En 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications. IEEE, 2006. http://dx.doi.org/10.1109/spawc.2006.346407.
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Li, Xiaohuan, Joel R. Jackson, Aggelos K. Katsaggelos y Russel M. Merserau. "Multiple global affine motion model for H.264 video coding with low bit rate". En Electronic Imaging 2005, editado por Amir Said y John G. Apostolopoulos. SPIE, 2005. http://dx.doi.org/10.1117/12.587328.
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Choi, Minkyu y Jun Tani. "Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model". En 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7965915.
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Millidge, Beren, Tommaso Salvatori, Yuhang Song, Rafal Bogacz y Thomas Lukasiewicz. "Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?" En 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.
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The backpropagation of error algorithm (BP) used to train deep neural networks has been fundamental to the successes of deep learning. However, it requires sequential backwards updates and non-local computations which make it challenging to parallelize at scale and is unlike how learning works in the brain. Neuroscience-inspired learning algorithms, however, such as \emph{predictive coding} which utilize local learning have the potential to overcome these limitations and advance beyond deep learning technologies in the future. While predictive coding originated in theoretical neuroscience as a model of information processing in the cortex, recent work has developed the idea into a general-purpose algorithm able to train neural networks using only local computations. In this survey, we review works that have contributed to this perspective and demonstrate the close connection between predictive coding and backpropagation in terms of generalization quality, as well as works that highlight the multiple advantages of using predictive coding models over backprop-trained neural networks. Specifically, we show the substantially greater flexibility of predictive coding networks against equivalent deep neural networks, which can function as classifiers, generators, and associative memories simultaneously, and can be defined on arbitrary graph topologies. Finally, we review direct benchmarks of predictive coding networks on machine learning classification tasks, as well as its close connections to control theory and applications in robotics.
Informes sobre el tema "Multiple-Model coding"
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DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, Melanie Hymes, Shawn Karns, Donna Rhodes y 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, mayo de 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.
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Objective: The purpose of this study was to assess the feasibility of administering the Automated Multiple-Pass Method (AMPM), a widely used tool for collecting 24-hour dietary recalls, in participants’ homes by field interviewers. Design: The design included computer-assisted personal interviews led by either a nutritionist (standard) or field interviewer. Portion estimators tested were a set of three-dimensional food models (standard), a two-dimensional food model booklet, or a tablet with digital images rendered via augmented reality. Setting: Residences in central North Carolina. Participants: English-speaking adults. Pregnant women and individuals who were fasting were excluded. Results: Among 133 interviews, most took place in living rooms (52%) or kitchens (22%). Mean interview time was 40 minutes (range 13–90), with no difference by interviewer type or portion estimator, although timing for nutritionist-led interviews declined significantly over the study period. Forty-five percent of participants referenced items from their homes to facilitate recall and portion estimation. Data entry and post-interview coding was evaluated and determined to be consistent with requirements for the National Health and Nutrition Examination Survey. Values for the number of food items consumed, food groups, energy intake (average of 3,011 kcal for men and 2,105 kcal for women), and key nutrients were determined to be plausible and within reasonably expected ranges regardless of interviewer type or portion estimator used. Conclusions: AMPM dietary recall interviews conducted in the home are feasible and may be preferable to clinical administration because of comfort and the opportunity for participants to access home items for recall. AMPMs administered by field interviewers using the food model booklet produced credible nutrition data that was comparable to AMPMs administered by nutritionists. Training field interviewers in dietary recall and conducting home interviews may be sensible choices for nutrition studies when response rates and cost are concerns.
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Eshed, Yuval y 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.
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Background and objectives: Manipulation of plant organ growth is one of the primary reasons for the success of mankind allowing increasing amounts of food for human and livestock consumption. In contrast with the successful selection for desirable growth characteristics using plant breeding, transgenic manipulations with single genes has met limited success. While breeding is based on accumulation of many small alterations of growth, usually arise from slight changes in expression patterns, transgenic manipulations are primarily based on drastic, non-specific up-regulation or knock down of genes that can exert different effects during different stages of development. To successfully harness transgenic manipulation to attain desirable plant growth traits we require the tools to subtly regulate the temporal and spatial activity of plant growth genes. Polar morphology along the adaxial/abaxial axis characterizes lateral organs of all plants. Juxtaposition of two cell types along this axis is a prerequisite of laminar growth induction. In the study summarized here, we addressed the following questions: Can we identify and harness components of the organ polarity establishment pathway for prolonged growth? Can we identify specific regulatory sequences allowing spatial and temporal manipulation in various stages of organ development? Can we identify genes associated with YABBY-induced growth alterations? Major conclusions and implications: We showed that regulated expression, both spatially and temporally of either organ polarity factors such as the YABBY genes, or the organ maturation program such as the CIN-TCPs can stimulate substantial growth of leaves and floral organs. Promoters for such fine manipulation could be identified by comparison of non-coding sequences of KAN1, where a highly conserved domain was found within the second intron, or by examination of multiple 5” regions of genes showing transient expression along leaf ontogeny. These promoters illustrate the context dependent action of any gene we examined thus far, and facilitate fine tuning of the complex growth process. Implications, both scientific and agricultural. The present study was carried out on the model organism Arabidopsis, and the broad application of its findings were tested in the tomato crop. We learned that all central regulators of organ polarity are functionally conserved, probably in all flowering plants. Thus, with minor modifications, the rules and mechanisms outlined in this work are likely to be general.