Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 73 for “"Adaptive algorithms"”.
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The adjacent errors of adaptive algorithms.
The adjacent errors of adaptive algorithms.
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Analysis of recursive cache-adaptive algorithms
… cache-oblivious model [FLPR99]. In this model algorithms don't have access to cache information, like the size of the cache. However, neither model captures the fact that an algorithm's available cache can change over time, which can effect its efficiency. In 2014, the cache-adaptive model was …
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Adaptive algorithms for real-world transactional data mining.
… results from the investigation of data mining algorithms for analysing, describing, identifying and classifying customers with evolving needs. In particular, methods for handling the issues of scalability, uncertainty and adaptation whilst mining evolving transactional data are analysed and …
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Adaptive algorithms for problems involving black-box Lipschitz functions
… on the actual function, we wish to design adaptive algorithms whose performance is close to the best possible on every problem instance. We give optimally adaptive algorithms for winding number computation and univariate approximation and integration. We also give a near-optimal adaptive …
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Analysis and Evaluation of the Family of Sign Adaptive Algorithms
In this thesis, four novel sign adaptive algorithms proposed by the author were analyzed and evaluated for floating-point arithmetic operations. These four algorithms include Sign Regressor Least Mean Fourth (SRLMF), Sign Regressor Least Mean Mixed-Norm (SRLMMN), Normalized Sign Regressor Least …
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A Reservoir of Adaptive Algorithms for Online Learning from Evolving Data Streams
… learning systems need to apply intelligent algorithms to monitor evolvement in their environments and update themselves effectively. Further, we may experience fluctuations regarding the performance of learning algorithms due to the nature of incoming data as it continuously evolves. That …
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Novel receiver architectures for mobile communications
… In this thesis, novel receiver architectures and adaptive algorithms are developed to determine and track the channel characteristics as they change. They incorporate a new class of variable step-size least mean square (VSLMS) adaptive algorithms with good tracking properties developed in this …
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Blind adaptive antenna arrays for mobile communications
Adaptive antenna arrays have tremendous potential for increasing the capacity of mobile communications, by reducing co-channel interference, multipath, and noise. Blind adaptive algorithms, that is, algorithms which do not require a training sequence, are investigated and compared in this study. …
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Analysis and Development of Blind Adaptive Beamforming Algorithms
… for the development and analysis of blind adaptive algorithms. An adaptive algorithm is said to be 'blind' if it does not require a known training sequence. The main focus is on application of these algorithms to adaptive antenna arrays in mobile radio communications. Adaptive antenna …
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Algoritmos de relaxação dinâmica adaptativa para a análise elastoplástica de estruturas tridimensionais
This work presents some dynamic relaxation adaptive algorithms applied to the analysis of structures by the Finite Element Method (isoparametric three-dimensional elements). These algorithms allow for both linear or non-linear analysis, considering plasticity and large displacement effects. Finally …
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Error estimation and adaptivity in deformable solid dynamics
… estimators is the starting point for developing adaptive algorithms. They change automatically the time step size to ensure that the error is smaller than a tolerance, but keeping the computational cost as low as possible. The algorithms presented are based on control theory, and di_erent …
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Introducing enhanced fully-adaptive routing decisions within Torus-Mesh and hypercube interconnect networks
… loads on these interconnection networks, fully-adaptive routing algorithms have been shown to exploit locality while balancing loads and softening the effects of hot-spots. One issue which has been overlooked is the impact of data traveling along the periphery of a selected minimal routable …
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Load-Aware Traffic Control in Software-Defined Enterprise Wireless Local Area Networks
… software-defined enterprise WLANs framework, two adaptive algorithms are proposed to provide client-based mobility management and load balancing. Custom protocol messages and AP load metric are introduced to enable the proposed adaptive algorithms. Moreover, a software-defined enterprise WLAN …
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Adaptive filters for sparse system identification
… has attracted much attention in the field of adaptive algorithms, and the adaptive filters for sparse system identification are studied. Firstly, a new family of proportionate normalized least mean square (PNLMS) adaptive algorithms that improve the performance of identifying block-sparse …
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Robust Adaptive Signal Processors
Standard open loop linear adaptive signal processing algorithms derived from the least squares minimization criterion require estimates of the N-dimensional input interference and noise statistics. Often, estimated statistics are biased by contaminant data (such as outliers and non-stationary data) …
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Range Adaptive Protocols for Wireless Multi-Hop Networks
… multiple simultaneous connections and adaptively changing communication parameters on a per-packet basis. Through its environment characterization techniques, the adaptive direct sequence spread spectrum MAC protocol for non-broadcast multiple access networks (ADIM-NB) improves several …
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Enhancing player experience in computer games: A computational Intelligence approach.
… and the search capabilities of evolutionary algorithms. The result is a scalable framework where new behaviours can be easily introduced. This lays the groundwork for investigations into enhancing the player experience. Two adaptive algorithms are built upon the proposed framework to address …
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Multidimensional and multivariate empirical mode decomposition
… (EMD) has developed into a versatile tool for adaptive, scale-based modal decomposition. EMD has proven to be capable of decomposing multivariate signals with cross-channel mode alignment. However, the algorithms for envelope identification in multivariate EMD come with a computational burden …
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