Relevant bibliographies by topics / Channel modelling

Academic literature on the topic 'Channel modelling'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Channel modelling"

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Luchi, Rossella, Guido Zolezzi, and Marco Tubino. "Modelling mid-channel bars in meandering channels." Earth Surface Processes and Landforms 35, no. 8 (April 28, 2010): 902–17. http://dx.doi.org/10.1002/esp.1947.

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Bondar, O. I., O. I. Glukhenky, Yu M. Goryslavets, and O. P. Zapadynchuk. "NUMERICAL MODELLING OF INDUCTION CHANNEL FURNACE THERMAL STATE." Tekhnichna Elektrodynamika 2021, no. 3 (April 19, 2021): 44–49. http://dx.doi.org/10.15407/techned2021.03.044.

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A mathematical model that describes heat and mass transfer processes in an induction channel furnace is presented. Using the example of a two-phase channel furnace with standard form of channels, the influence of the phase angle between the voltages supplying the furnace inductors on the thermal state of the liquid metal is considered. Values of this angle, which provide minimal melt overheating in channels in comparison with furnace bath have been determined. Ways of intensification of heat and mass transfer processes in two-phase channel furnace have been suggested. References 9, figures 4.
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Wang, Xiaoyu, Xiaohua Wang, Rongkun Jiang, Weijiang Wang, Qu Chen, and Xinghua Wang. "Channel Modelling and Estimation for Shallow Underwater Acoustic OFDM Communication via Simulation Platform." Applied Sciences 9, no. 3 (January 28, 2019): 447. http://dx.doi.org/10.3390/app9030447.

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The performance of underwater acoustic (UWA) communication is heavily dependent on channel estimation, which is predominantly researched by simulating UWA channels modelled in complex and dynamic underwater environments. In UWA channels modelling, the measurement-based approach provides an accurate method. However, acquirement of environment data and simulation processes are scenario-specific and thus not cost-effective. To overcome such restraints, this article proposes a comprehensive simulation platform that combines UWA channel modelling with orthogonal frequency division multiplexing (OFDM) channel estimation, allowing users to model UWA channels for different ocean environments and simulate channel estimation with configurable input parameters. Based on the simulation platform, three independent
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Chatila, Jean G., and Ron D. Townsend. "Modelling floodplain conveyance in compound channel flows." Canadian Journal of Civil Engineering 22, no. 4 (August 1, 1995): 660–67. http://dx.doi.org/10.1139/l95-078.

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Floodplain conveyance in compound channel flows is examined through applications of the dynamic flow routing model DWOPER to both laboratory and field data sets. Three different approaches regarding the modelling of off-channel storage are considered, namely, the single-channel approach and two interface-plane methods, which artificially separate main channel flows from floodplain flows, using (i) vertical and (ii) diagonal interface planes. The single-channel method, which views composite flow fields as single units without storage, produced significant differences between simulated and observed stage and discharge hydrographs. The vertical interface method gave generally good results in the case of the laboratory data, but was less successful when applied to the field data. The diagonal interface method, which in this instance applied outward-facing diagonal interface planes at the junctions of the main channel and floodplain zones, produced superior results overall. Key words: floodplain, conveyance, unsteady flow, compound channels, off-channel storage, interface planes.
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Abida, Habib, and Ronald D. Townsend. "Parameter optimization in modelling unsteady compound channel flows." Canadian Journal of Civil Engineering 19, no. 3 (June 1, 1992): 441–46. http://dx.doi.org/10.1139/l92-053.

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Optimization methods are used to estimate data for routing floods through open compound channels (main channels with flood plain zones). These data include the irregular channel section geometry and the varying boundary roughness. Differences between simulated and observed stages and discharges are minimized using three optimization algorithms: Powell's method, Rosenbrock's algorithm, and the Nelder and Meade simplex method. Powells' method performed poorly; however, both the Rosenbrock and simplex methods yielded good results. The estimated data using the Rosenbrock and simplex methods were used to route different flood events observed in a laboratory channel. Simulated peak stages and discharges were in good agreement with those estimated using actual routing data. Key words: compound channel, flood routing, lateral momentum transfer, optimization, unsteady flow.
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Yang, Yi Huai. "Channel Modelling for WBANs." Applied Mechanics and Materials 246-247 (December 2012): 346–50. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.346.

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Development of an appropriate propagation channel model is an important step to design wireless body area network (WBAN). Because the human body has different body shapes (male, female and child), different tissues with different permittivity and conductivity (even the same person at the different age), and limbs positions and postures are changing all the time, this made the in-body channel modelling extremely difficult, if not impossible. There are few publications on implant communication channel models compared to wearable WBAN. In this paper, we present a literature survey on radio channel modelling for WBAN, especially the IEEE 802.15.6 models. The performance of the model is studied by simulating probability density functions (PDF) and cumulative distribution functions (CDF). Finally, we briefly outline some aspects of our future research works.
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Del Galdo, G., M. Haardt, and C. Schneider. "Geometry-based channel modelling of MIMO channels in comparison with channel sounder measurements." Advances in Radio Science 2 (May 27, 2005): 117–26. http://dx.doi.org/10.5194/ars-2-117-2004.

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Abstract. In this paper we propose a flexible geometrybased propagation model for wireless communications developed at Ilmenau University of Technology. The IlmProp comprises a geometrical representation of the environment surrounding the experiment and a precise representation of the transmitting and receiving antennas. The IlmProp is capable of simulating Multi-User MIMO scenarios and includes a complete collection of tools to analyze the synthetic channels. In order to assess the potentials as well as the limits of our channel simulator we reconstruct the scenario encountered in a recent measurement campaign at Ilmenau University of Technology leading to synthetic data sets similar to the ones actually measured. The measurements have been collected with the RUSK MIMO multi-dimensional channel sounder. From the comparisons of the two channel matrices it is possible to derive useful information to improve the model itself and to better understand the physical origins of small-scale fading. In particular the effects of the different parameters on the synthetic channel have been studied in order to assess the sensibility of the model. This analysis shows that the correct positioning of a small number of scatterers is enough to achieve frequency selectiveness as well as specific traits of the channel statistics. The size of the scattering clusters, the number of scatterers per cluster, and the Rician K-factor can be modified in order to tune the channel statistics at will. To obtain higher levels of time variance, moving scatterers or time dependent reflection coefficients must be introduced.
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Hu, Xiaojian, Shuai Feng, Jiqiong Liu, Aifeng Yang, Guanxiong Wang, and Hui Xu. "Return Mode Selection and Pricing Strategy for a Dual-Channel Retailer." Discrete Dynamics in Nature and Society 2020 (August 1, 2020): 1–20. http://dx.doi.org/10.1155/2020/5261486.

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With the rapid development of e-commerce and the economy, an increasing number of retailers are adopting a dual-channel retail strategy (DCRS), which allows customers to return unsatisfactory products, provided that their complaints are reasonable, and receive a full refund. This paper studies the pricing strategies of an integrated dual-channel retailer (DCR) when it provides return policies to customers, including original channel return, fixed cross-channel return, and relaxed cross-channel return. The relationship between the DCR’s system performance and channel pricing is impacted by customer channel preferences, and the return rates of different channels are discussed. The results show that the greater the difference in customer preferences between channels is, the greater the profitability of the DCR will be. A fixed cross-channel return model should be selected when the return rate in the online channel is higher or the cross-channel return rate is lower; otherwise, the original channel return model should be selected. When the return rate of a certain channel is high, the retailer should increase the price in that channel and reduce the pricing of its competing channel to compensate for the loss caused by the returns and transfer sales between channels. A selective return policy can not only improve the flexibility of business operations and enhance competitive advantage but also provide convenient customer returns and enhance consumers’ sense of security.
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Weng, Jialai, Xiaoming Tu, Zhihua Lai, Sana Salous, and Jie Zhang. "Indoor Massive MIMO Channel Modelling Using Ray-Launching Simulation." International Journal of Antennas and Propagation 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/279380.

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Massive multi-input multioutput (MIMO) is a promising technique for the next generation of wireless communication networks. In this paper, we focus on using the ray-launching based channel simulation to model massive MIMO channels. We propose one deterministic model and one statistical model for indoor massive MIMO channels, both based on ray-launching simulation. We further propose a simplified version for each model to improve computational efficiency. We simulate the models in indoor wireless network deployment environments and compare the simulation results with measurements. Analysis and comparison show that these ray-launching based simulation models are efficient and accurate for massive MIMO channel modelling, especially with application to indoor network planning and optimisation.
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Hewitt, Ian J. "Modelling distributed and channelized subglacial drainage: the spacing of channels." Journal of Glaciology 57, no. 202 (2011): 302–14. http://dx.doi.org/10.3189/002214311796405951.

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AbstractModels are proposed for channelized and distributed flow of meltwater at the base of an ice sheet. The volumes of both channel and distributed systems evolve according to a competition between processes that open drainage space (e.g. sliding over bedrock, melting of the ice) and processes that close it (e.g. viscous creep of the ice due to a positive effective pressure). Channels are generally predicted to have lower water pressure and therefore capture water from the surrounding regions of distributed flow. There is a natural length scale associated with the distributed system that determines the width of the bed from which water can be drawn into a channel. It is suggested that this determines the spacing between major channels and that this may be reflected in the spacing of eskers. A more permeable distributed system results in more widely spaced, and therefore larger, channels. Calculations of the flow into the head of a channel reveal that there is a critical discharge necessary for it to form, and provide a criterion for where channels can exist.
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Dissertations / Theses on the topic "Channel modelling"

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MELLO, RODRIGO SILVA. "PLC CHANNEL MODELLING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6687@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
O crescente interesse na utilização das redes de distribuição de energia elétrica como uma alternativa para o fornecimento de serviços de telecomunicações, tem motivado a pesquisa e o desenvolvimento de sistemas capazes de superar as características hostis deste ambiente como canal de comunicação. Com esta finalidade, este trabalho procura estimar o comportamento da rede PLC através da modelagem da função de transferência do canal, para a faixa de freqüência de 300 kHz a 30 MHz, por meio de um conjunto de parâmetros, os quais podem ser deduzidos da medição da resposta em freqüência. Dois modelos são apresentados para descrever a resposta em freqüência complexa de típicos canais power line, cobrindo todos os efeitos que os caracterizam, tais como o efeito de propagação por multipercursos causado pelas inúmeras reflexões nas junções da rede e o desvanecimento seletivo em freqüência. Os experimentos revelam que estes modelos apresentam todas as características principais da rede PLC podendo representar ferramentas úteis e efetivas na prática, oferecendo a possibilidade de realizar pesquisas para diferentes topologias de rede, a fim de estudar seu impacto no sistema de comunicação pela rede de energia elétrica. Além disso, propõem-se modelos de ajuste da função de transferência do canal a dados empíricos pelo método dos mínimos quadrados.
The crescent interest on the utilization of the low voltage power distribution grid as an alternative to provide services of telecommunication has motivated the systems development able to surpass the hostile characteristics of this environment as a communication channel. Therefore, this work seek to estimate the behavior of PLC network (Power Line Communication) through the modelling of the channel transfer function, to the range of 300 kHz to 30 MHz, by means of a set of parameters, which can be derived from the measure of the frequency response. Two models are presented to describe the complex frequency response of power line channels, covering all effects that define them, for example, the multipaths propagation generated by uncountable reflections on the network connections and selective fading in the frequency. The results of experiments show that these models present the most important characteristics of PLC network, representing useful and effective tools in the practice, offering the possibility to do researches to different network topologies, in order to study the impact of these effects on the PLC system. Moreover, they`re proposed channel transfer function adjustment models through empiric data and the least square method.
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Hopton, Stephen. "Modelling open channel flow." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11594/.

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The study of open channel flow and dam breaking is not a new topic in computational fluid dynamics. However it has only recently started to gain significant attention from researchers using meshless methods, i.e. numerical modelling techniques which do not rely on the use of a mesh to discretise the domain. The research presented here is an attempt to use the meshless method known as smoothed particle hydrodynamics (SPH) to simulate the flow of water down a channel. Hydra, a pre-existing SPH code designed originally for astrophysical simulations, was converted to simulate water flow and then applied to the problem of dam bursting and flow over a weir. The conversion of the code to its new purpose was verified by simple code tests and then extensive validation was performed via the modelling of multiple dambreaks. The validation process can be split into three broad categories: 1) Comparison against the published data gained from other numerical methods both meshless and traditional. 2) Comparison against physical experiments performed by the author. 3) Comparison against independent experimental data found in the literature. Hydra in its newly converted form was satisfactorily applied to the majority of the tests presented to it and the same level of accuracy was achieved as with any of the other codes tested. A limit to the SPH method for performing this type of simulation was proposed based on particle number, smoothing length and initial conditions. A formula for the calculation of the number of ghost particles required to prevent spurious boundary pressures was also proposed. An analysis of various kernels used by different SPH researchers was presented and it was discovered that a relatively simple cubic spline kernel proved sufficient and that increasing complexity did not provide an increase in solution accuracy. The flow of water over a weir was presented next and results compared to published data which utilised a leading mesh based fluid simulation package. Results gained from Hydra simulations showed good downstream water level prediction but overestimation of upstream levels. A steady state solution was achieved within a similar timeframe compared to the grid based method. It was concluded that use of the SPH method and the Hydra code in particular can provide solutions to problems involving water flow down a channel and accuracy on the dambreak tests was equal to any rival codes/methods tested. However when the complexity of the boundaries involved in the model increased there was some evidence that the CFX simulation package could be used to achieve a more accurate solution than Hydra. Suggestions for continuation of research into Hydra as a water flow modelling code are presented in addition to recommendations for improving the experimental methods used.
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Khoo, Soo Hee. "Indoor optical wireless channel modelling." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393595.

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Darbari, Faisal. "Wireless channel modelling for specknet." Thesis, University of Strathclyde, 2008. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21973.

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A wireless sensor network (WSN) consists of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as pressure, temperature, sound, vibration or motion at different locations. The development of wireless sensor networks was originally motivated by military applications such as battlefield surveillance. However, wireless sensor retworks are now used in many commercial applications, including environment and habitat monitoring, healthcare applications, home automation, and traffic control. The physical size of these devices is shrinking due to advances in semiconductor technology. The main challenge is to produce low cost and miniature sensor nodes. Energy is the scarcest resource for these nodes as it determines the WSN lifetime. Since these nodes will be deployed close together to form a dense wireless network the received signaI to noise ratio at any instant of time not only depends on physical channel (i. e. path loss and fading) but also on various design parameters like CSMA/CA inhibition threshold, polarization, deployment strategy and node density. This thesis characterises the propagation channel for miniature wireless nodes. A characterization of the short range (<10cm), narrowband, wireless channel, appropriate to a dense network of wireless transceivers operating in the 2.4 GHz ISM band, is presented. Transmission loss measurements have been made in the laboratory at 2.45 GHz and a fading model derived. Aggregate interference due to neighboring carrier-sense-multiple-access (CSMA) nodes has been calculated. The resulting dependence of signl-to-interference ratio (SIR) on node density is presented to allow density dimensioning. Cumulative distributions of SIR have been used to establish performance statistics for example modulation and detection schemes. A simulation model has been developed to characterise the physical link experienced by these networks.
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Mota, Susana de Jesus. "Channel modelling for MIMO systems." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14961.

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Doutoramento em Engenharia Electrotécnica
Systems equipped with multiple antennas at the transmitter and at the receiver, known as MIMO (Multiple Input Multiple Output) systems, offer higher capacities, allowing an efficient exploitation of the available spectrum and/or the employment of more demanding applications. It is well known that the radio channel is characterized by multipath propagation, a phenomenon deemed problematic and whose mitigation has been achieved through techniques such as diversity, beamforming or adaptive antennas. By exploring conveniently the spatial domain MIMO systems turn the characteristics of the multipath channel into an advantage and allow creating multiple parallel and independent virtual channels. However, the achievable benefits are constrained by the propagation channel’s characteristics, which may not always be ideal. This work focuses on the characterization of the MIMO radio channel. It begins with the presentation of the fundamental results from information theory that triggered the interest on these systems, including the discussion of some of their potential benefits and a review of the existing channel models for MIMO systems. The characterization of the MIMO channel developed in this work is based on experimental measurements of the double-directional channel. The measurement system is based on a vector network analyzer and a two-dimensional positioning platform, both controlled by a computer, allowing the measurement of the channel’s frequency response at the locations of a synthetic array. Data is then processed using the SAGE (Space-Alternating Expectation-Maximization) algorithm to obtain the parameters (delay, direction of arrival and complex amplitude) of the channel’s most relevant multipath components. Afterwards, using a clustering algorithm these data are grouped into clusters. Finally, statistical information is extracted allowing the characterization of the channel’s multipath components. The information about the multipath characteristics of the channel, induced by existing scatterers in the propagation scenario, enables the characterization of MIMO channel and thus to evaluate its performance. The method was finally validated using MIMO measurements.
Os sistemas equipados com múltiplas antenas no emissor e no recetor, conhecidos como sistemas MIMO (Multiple Input Multiple Output), oferecem capacidades mais elevadas, permitindo melhor rentabilização do espectro e/ou utilização de aplicações mais exigentes. É sobejamente sabido que o canal rádio é caracterizado por propagação multipercurso, fenómeno considerado problemático e cuja mitigação tem sido conseguida através de técnicas como diversidade, formatação de feixe ou antenas adaptativas. Explorando convenientemente o domínio espacial os sistemas MIMO transformam as características multipercurso do canal numa mais-valia e permitem criar vários canais virtuais, paralelos e independentes. Contudo, os benefícios atingíveis são condicionados pelas características do canal de propagação, que poderão não ser sempre as ideais. Este trabalho centra-se na caracterização do canal rádio para sistemas MIMO. Inicia-se com a apresentação dos resultados fundamentais da teoria da informação que despoletaram todo o entusiamo em torno deste tipo de sistemas, sendo discutidas algumas das suas potencialidades e uma revisão dos modelos existentes para sistemas MIMO. A caracterização do canal MIMO desenvolvida neste trabalho assenta em medidas experimentais do canal direcional adquiridas em dupla via. O sistema de medida é baseado num analisador de redes vetorial e numa plataforma de posicionamento bidimensional, ambos controlados por um computador, permitindo obter a resposta em frequência do canal rádio nos vários pontos correspondentes à localização dos elementos de um agregado virtual. As medidas são posteriormente processadas com o algoritmo SAGE (Space-Alternating Expectation-Maximization), de forma a obter os parâmetros (atraso, direção de chegada e amplitude complexa) das componentes multipercurso mais significativas. Seguidamente, estes dados são tratados com um algoritmo de classificação (clustering) e organizados em grupos. Finalmente é extraída informação estatística que permite caracterizar o comportamento das componentes multipercurso do canal. A informação acerca das características multipercurso do canal, induzidas pelos espalhadores (scatterers) existentes no cenário de propagação, possibilita a caracterização do canal MIMO e assim avaliar o seu desempenho. O método foi por fim validado com medidas MIMO.
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Cox, C. L. "Modelling channel dynamics and riparian ecology." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598103.

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This study aimed to develop and evaluate a numerical simulation model of the interdependent dynamics of channel form, processes and floodplain vegetation using cellular automaton approaches. The model was developed and evaluated using data from the River Feshie, Scotland. Firstly, field and historic data were examined in order to understand the ecology and dynamic nature of the study site. The braidplain was shown to exhibit a number of different mechanisms of change, varying from a wandering anabranch river to a more fragmented braided pattern; however the relationship between channel pattern and vegetation was not found to be straightforward, and multiple successional pathways were identified, depending on local abiotic conditions. Secondly, the capability of cellular automata models to simulate realistic patterns of discharge, channel change and floodplain ecology was evaluated. Cellular automata models involve a high level of simplification in order to facilitate the modelling of medium time and space scales with highly mobile boundary conditions. The models can predict realistic patterns of discharge and reach-scale ecology compositions, but further work is needed to improve the sediment transport functions. Finally, a cellular automata model was applied to investigate how floodplain ecology responds to different flood disturbance regimes and land management practices. This showed that cellular automata models may be used successfully to explore relationships between discharge, land use management and floodplain ecology. However, uncertainties regarding the lack of physical realism in some aspects of the model predictions meant it was unclear to what extent the results accurately represented future conditions for the River Feshie. Therefore, at this stage cellular automata models cannot be recommended for detailed applied management purposes in specific contexts.
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Hicks, C. M. "Modelling of multi-channel audio signals." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603997.

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This dissertation is concerned with the mathematical modelling of musical and audio signals. The emphasis is on multi-channel signals where either more than one copy of a single original is available for analysis, or where the signal comprises two or more parts. The most common example of this latter class is stereo signals which comprise a left and a right signal to create an auditory illusion of space. Two models are analysed in which we have multiple observations of a single signal. Both are based on the well-known auto-regressive (AR) model which has previously been successfully deployed in many audio applications. The first of these is the Multiply-Observed AR Model in which a single AR signal is contaminated by a number of independent interference signals to give multiple noisy observations of the original. It is shown that the statistics of the noise sources can be determined given certain broad assumptions. The model is applied to the problem of broadband noise reduction of a 78 r.p.m. record, of which a number of copies are available. The second model is the Ensemble-AR Model in which an ensemble of excitation sources drive identical AR filters to give multiple observed signals. Methods for estimation of the AR parameters from the observed data are derived. The model is applied to the detection of impulsive noise in audio signals, and interpolation of the missing data. The E-AR model is demonstrated to be superior to a similar single-channel approach in both of these areas. There is such a variety of stereo signals in existence that a very general model is needed to encompass their whole spectrum. The Coupled-ARMA Model put forward here is based on the ARMA model, but generates a pair of interdependent signals. Its structure allows efficient estimation of its parameters, and various methods for this are examined. Interpolators for Coupled-ARMA signals are derived. For much multi-channel audio work it is necessary to ensure that the observed signals are accurately aligned with each other. Where multiple copies of a disc or tape are under examination this is a difficult problem, since even minute time offsets and speed fluctuations lead to effects such as time-varying comb-filtering when the signals are summed. We examine this problem in detail, and develop a robust scheme for resynchronising signals in a Bayesian statistical framework. Quantisation of audio signals has received much recent research effort. The final part of the dissertation presents a flexible model-based quantisation algorithm. The algorithm is demonstrated in the quantisation of narrow-band signals, and as a powerful enhancement to a simple linear prediction coding system.
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Delis, Anargiros. "Computational modelling of open channel flow." Thesis, University of the West of England, Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244309.

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Lin, Min. "Channel modelling for wireless sensor networks." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611656.

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Lehner, Andreas. "Multipath channel modelling for satellite navigation systems /." Aachen : Shaker, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016152468&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Books on the topic "Channel modelling"

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Salous, Sana. Radio Propagation Measurement and Channel Modelling. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.

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Wadley, Martin Robert. Modelling the bottom water circulation in the Vema Channel. Norwich: University of East Anglia, 1993.

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W, Popoola, and Rajbhandari S, eds. Optical wireless communications: System and channel modelling with MATLAB. Boca Raton, FL: Taylor & Francis, 2012.

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Ghassemlooy, Zabih. Optical wireless communications: System and channel modelling with MATLAB. Boca Raton, FL: Taylor & Francis, 2012.

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Allen, Ben, Guillaume De la Roche, and Andres Alayon Glazunov. LTE--advanced and next generation wireless networks: Channel modelling and propagation. Chichester, West Sussex, U.K: Wiley, 2012.

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Pelant, Jaroslav. Numerical modelling of flows in reed channel of air jet loom. Letnany, Czech Republic: Information Centre for Aeronautics, 2001.

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Pascoe, S. Bioeconomic modelling of the fisheries of the English Channel: Overview report. Portsmouth: University of Portsmouth, Centre for the Economics and Management of Aquatic Resources, 1997.

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Jović, Vinko, ed. Analysis and Modelling of Non-Steady Flow in Pipe and Channel Networks. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118536896.

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Akşin, O. Z. Modelling a phone center: Analysis of a multi-channel multi-resource processor shared loss system. Fontainebleau: INSEAD, 1997.

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Chanson, Hubert. The hydraulics of open channel flow: An introduction ; basic principles, sediment motion, hydraulic modelling, design of hydraulic structures. 2nd ed. Oxford [UK]: Elsevier Butterworth Heinemann, 2004.

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Book chapters on the topic "Channel modelling"

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Ghassemlooy, Z., W. Popoola, and S. Rajbhandari. "Channel Modelling." In Optical Wireless Communications, 81–156. Second edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018.: CRC Press, 2019. http://dx.doi.org/10.1201/9781315151724-3.

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Han, Te Sun. "Channel Coding." In Stochastic Modelling and Applied Probability, 169–268. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-12066-8_3.

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Layer, Frank, Torsten Englert, Ralf Kattenbach, Henning Früchting, Pierpaolo Loreti, Michele Luglio, F. Babich, G. Lombardi, E. Valentinuzzi, and O. E. Kelly. "Channel Characterization & Modelling." In Third Generation Mobile Telecommunication Systems, 229–316. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56919-7_5.

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Kämpf, Jochen. "Long Waves in a Channel." In Ocean Modelling for Beginners, 65–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00820-7_4.

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Mustafa, H. D., Shabbir N. Merchant, Uday B. Desai, and Brij Mohan Baveja. "GSCC Channel Characterization and Modelling." In Green Symbiotic Cloud Communications, 81–96. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3512-8_5.

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Han, Te Sun. "Identification Code and Channel Resolvability." In Stochastic Modelling and Applied Probability, 395–451. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-12066-8_6.

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Veress, Árpád, and René Van den Braembussche. "New Approach to Radial Compressor Return Channel Design." In Modelling Fluid Flow, 389–406. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08797-8_27.

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Dey, Sourav, and Sujit Mandal. "Modelling riverbank erosion hazards." In Riverbank Erosion Hazards and Channel Morphodynamics, 130–56. London: Routledge India, 2022. http://dx.doi.org/10.4324/9781003276685-5.

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Oestges, C., C. Brennan, F. Fuschini, M. L. Jakobsen, S. Salous, C. Schneider, and F. Tufvesson. "Radio Channel Measurement and Modelling Techniques." In Cooperative Radio Communications for Green Smart Environments, 341–82. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337720-9.

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Von Kitzing, Eberhard. "Structure Modeling of the Acetylcholine Receptor Channel and Related Ligand Gated Channels." In Modelling of Biomolecular Structures and Mechanisms, 39–57. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0497-5_4.

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Conference papers on the topic "Channel modelling"

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Alizadeh, Mohammad, Saeed Ghazi-Maghrebi, and Amir Atashbar. "Perceptron Algorithm for Channel Shortening in OFDM System with Multipath Fading Channels." In 2014 European Modelling Symposium (EMS). IEEE, 2014. http://dx.doi.org/10.1109/ems.2014.94.

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Gupta, Aastha, Thushara D. Abhayapala, and Tony S. Pollock. "On wireless channel modelling : extraction of channel from channel measurements." In 2007 International Symposium on Communications and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/iscit.2007.4392129.

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Qin, Fei, Rakesh, Shaohui Sun, and Shaoli Kang. "Polarization modelling for MIMO channel." In 2009 Fourth International Conference on Communications and Networking in China. CHINACOM 2009. IEEE, 2009. http://dx.doi.org/10.1109/chinacom.2009.5339789.

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Lazaro, A., D. Girbau, D. Salinas, and R. Villarino. "Channel modelling for UHF RFID." In 2009 European Microwave Conference (EuMC). IEEE, 2009. http://dx.doi.org/10.23919/eumc.2009.5296240.

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Datta, Kashi Nath, Aritra Roy, Pratik Chakraborty, and Sujoy Saha. "Channel modelling of VVLC system." In 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS). IEEE, 2022. http://dx.doi.org/10.1109/comsnets53615.2022.9668398.

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Wilson, Jim R., and Neil A. Duncan. "Modelling the Ion Channel Behaviour of Articular Chondrocytes." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32661.

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All cells have a membrane potential; this voltage difference arises from the different intracellular and extracellular ion concentrations. In excitable tissue the cell membranes contain ion channels which control the movement of ions and hence control the cell’s membrane potential. Extensive measurements of the electrophysiology of excitable cells has allowed considerable understanding of the ion channels. The Hodgkin-Huxley model [1] was developed from measurements on a squid nerve axon, and it quantifies the changes in membrane conductance due to the opening and closing of specific ion channels. This model has been very successful in describing the electrical behaviour of neurons. Ion channels also exist in non-excitable tissue cells. Patch clamp experiments have demonstrated that ion channels in chondrocytes influence cell’s membrane potential [2]; controls the influx of Ca2+ [3] and may regulate cell proliferation [2]. The objective of this research was to develop a model of ion channel behaviour for connective tissue cells based on the Hodgkin-Huxley model, and to apply this model to reported patch clamp measurements of articular chondrocytes.
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Morales, J. L. Lagunas, and S. Roy. "Robust Joint Channel Estimation and Symbol Detection via Sphere Decoding." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.698-018.

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Nemec, Zdenek, Jan Pidanic, and Radovan Dolecek. "OFDM channel modelling for railway corridors." In 2014 56th International Symposium ELMAR. IEEE, 2014. http://dx.doi.org/10.1109/elmar.2014.6923314.

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Fiebig, Uwe-Carsten. "Satellite Channel Modelling for Rain Fading." In 21st International Communications Satellite Systems Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-2266.

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Conti, Massimo, and Simone Orcioni. "SystemC modelling of wireless communication channel." In SPIE Microtechnologies, edited by Teresa Riesgo and Eduardo de la Torre-Arnanz. SPIE, 2011. http://dx.doi.org/10.1117/12.886898.

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Reports on the topic "Channel modelling"

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Darby, Stephen E., and Colin R. Thorne. Bank Erosion Algorithm for Numerical Modelling of Channel Width Adjustments. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada286553.

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Flato, G., N. Gillett, V. Arora, A. Cannon, and J. Anstey. Modelling future climate change. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/327808.

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Wray, Chris, Josephine Musango, Kavesha Damon, and Koech Cheruiyot. Modelling urban spatial change: a review of international and South African modelling initiatives. Gauteng City-Region Observatory, August 2013. http://dx.doi.org/10.36634/dfua2650.

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Qiang, B., and R. De Jong. Modelling four climate change scenarios for Prince Edward Island. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2007. http://dx.doi.org/10.4095/327232.

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Russell, H. A. J., and S. K. Frey. Canada One Water: integrated groundwater-surface-water-climate modelling for climate change adaptation. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329092.

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Canada 1 Water is a 3-year governmental multi-department-private-sector-academic collaboration to model the groundwater-surface-water of Canada coupled with historic climate and climate scenario input. To address this challenge continental Canada has been allocated to one of 6 large watershed basins of approximately two million km2. The model domains are based on natural watershed boundaries and include approximately 1 million km2 of the United States. In year one (2020-2021) data assembly and validation of some 20 datasets (layers) is the focus of work along with conceptual model development. To support analysis of the entire water balance the modelling framework consists of three distinct components and modelling software. Land Surface modelling with the Community Land Model will support information needed for both the regional climate modelling using the Weather Research &amp; Forecasting model (WRF), and input to HydroGeoSphere for groundwater-surface-water modelling. The inclusion of the transboundary watersheds will provide a first time assessment of water resources in this critical international domain. Modelling is also being integrated with Remote Sensing datasets, notably the Gravity Recovery and Climate Experiment (GRACE). GRACE supports regional scale watershed analysis of total water flux. GRACE along with terrestrial time-series data will serve provide validation datasets for model results to ensure that the final project outputs are representative and reliable. The project has an active engagement and collaborative effort underway to try and maximize the long-term benefit of the framework. Much of the supporting model datasets will be published under open access licence to support broad usage and integration.
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Nentwich, Michael, ed. Cyberscience. Modelling ICT-induced changes of the scholarly communication system. Vienna: self, 2012. http://dx.doi.org/10.1553/ita-pa-mn-05-3.

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Attansio, Orazio, and Debbie Blair. Structural modelling in policymaking. Centre for Excellence and Development Impact and Learning (CEDIL), November 2018. http://dx.doi.org/10.51744/cip9.

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Structural modelling, that is the use of behavioural models to add a framework to the decision problem of an agent, is a useful yet underused tool in evaluation. This paper provides a general introduction to structural modelling, as well as an overview of other commonly used evaluation techniques in Economics and other social sciences. It then goes on to show with three key case studies, how structural models can be used to enrich the findings from randomised control trials. The case studies cover a wide range of policy questions: examining demand for health products in Kenya, incentivising teachers to attend school in India, and evaluating conditional cash transfers for education in Mexico. The case studies show how structural models add to our understanding of the mechanisms behind a given treatment effect, how the findings may change when the policy is rolled out under different circumstances, as well as allowing for the evaluation of different policies that were not originally trialled. The common pitfalls of structural models are discussed, with guidance provided throughout on how to conduct sensitivity analysis and model validation. It is hoped that this paper will persuade other researchers to use structural models, in conjunction with randomised control trials, that will lead to improved evaluation results, a deeper understanding of important problems, and better informed policymaking in the future.
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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Mercedes-Benz and some others companies have not been engaged in their traditional business for a long time. Their partner networks performs this function instead of them. The companies themselves perform the function of system integrators. The Tapscott’s idea finds its confirmation within the framework of a new powerful direction of the development of the modern interdisciplinary science – the theory of the complex networks (CN) [2]. CN-s are multifractal objects, the loss of multifractality being the indicator of the system transition from more complex state into more simple state. We tested the multifractal properties of the data using the wavelet transform modulus maxima approach in order to analyze scaling properties of our company. Comparative analysis of the singularity spectrumf(®), namely, the difference between maximum and minimum values of ® (∆ = ®max ¡ ®min) shows that IBM company is considerably more fractal in comparison with Apple Computer. Really, for it the value of ∆ is equal to 0.3, while for the vertically integrated company Apple it only makes 0.06 – 5 times less. The comparison of other companies shows that this dependence is of general character. Taking into consideration the fact that network organization of business has become dominant in the last 5-10 years, we carried out research for the selected companies in the earliest possible period of time which was determined by the availability of data in the Internet, or by historically later beginning of stock trade of computer companies. A singularity spectrum of the first group of companies turned out to be considerably narrower, or shifted toward the smaller values of ® in the pre-network period. The latter means that dynamic series were antipersistant. That is, these companies‘ management was rigidly controlled while the impact of market mechanisms was minimized. In the second group of companies if even the situation did changed it did not change for the better. In addition, we discuss applications to the construction of portfolios of stock that have a stable ratio of risk to return.
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De Jong, R., B. Qiang, and J. Y. Yang. Modelling of nitrogen leaching in Prince Edward Island under climate change scenarios. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2007. http://dx.doi.org/10.4095/327233.

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Fyfe, Caroline, Phoebe Taptiklis, Dominic White, and Niven Winchester. Review of emissions data and modelling systems (Phase 1) Report. Motu Economic and Public Policy Research, July 2023. http://dx.doi.org/10.29310/wp.2023.06.

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The purpose of this report is to review greenhouse gas (GHG) emissions and climate change mi􀆟ga􀆟on data and models. Building an evidence base to monitor and assess the impacts of ini􀆟a􀆟ves is explicitly men􀆟oned in Aotearoa New Zealand’s First Emissions Reduc􀆟on Plan (05/2022). Economic-Environmental modelling plays an important role in decision making to achieve emission reduc􀆟on targets. Data is hosted by a range of organisa􀆟ons and collected using different frameworks and methodologies. There is less awareness of data available through Stats NZ which may have led to it being underused. Main collated data sources are the GHG emissions account and the GHG emissions inventory. Sector specific data are available through relevant agencies. A detailed stock-take of New Zealand’s modelling capacity iden􀆟fied 84 climate change or climate change mi􀆟ga􀆟on models: 13 mul􀆟-sector models, 23 land use and agricultural models, 25 energy models, and 23 transport models. The stock-take iden􀆟fied at least one model for each sector of the ERP, except for Building and Construc􀆟on. Modelling capacity varies between sectors with those that are more developed, demonstra􀆟ng greater interdependency between models. Almost all modelling takes a produc􀆟on-based approach. Capacity for a consump􀆟on-based approach was much more limited. Two examples of formal collabora􀆟on are iden􀆟fied through the review. No formal interna􀆟onal collabora􀆟on (outside of interna􀆟onal repor􀆟ng requirements) was iden􀆟fied. A preference was expressed for modelling in-house to facilitate alignment with policy development. However, this may have contributed to lack of collabora􀆟on on progress towards common targets. Connec􀆟ons with groups outside of government are also limited.
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