[PDF] Top 20 Performance Analysis of the Consensus-Based Distributed LMS Algorithm

... fully distributed least mean-square (D-LMS) algorithm is developed in this paper, in which sensors exchange messages with single-hop neighbors to consent on the network-wide estimates ...(MSE) ... See full document

... is based on the parallelization of platforms’ K-means algorithm, by building a YARN cluster environment and making experiments to analyze performance of two distributed platforms, and finally ... See full document

... and distributed algorithms is of paramount practical ...with consensus algorithms we propose a distributed localization algorithm for scenarios where received signal strength indicator ... See full document

... inferior performance compared to incremental or centralized ...a consensus to be achieved. Diffusion-based DKF can be promoted in scenarios such as estimation, average consensus, EM algorithms ... See full document

... a distributed CDM method for service detection, classi fi cation, composition, and data processing for the ...proposed algorithm aims to improve the trustiness and ef fi ciency of distributed average ... See full document

... are based on the development of mathematical models, though its application in large-scale distributed systems is very ...of performance indicators in accordance with the response to systems ... See full document

... convergence performance of distributed consensus often becomes ...the distributed consensus based on the Erodos-Renyi random topology [5] is researched, and it is proved that the ... See full document

... (LMS) algorithm is the most popularly used adaptive filter not only due to its simplicity but also due to its satisfactory convergence performance ... See full document

... are distributed across different nodes, and their communication to a centralized processing unit is prohibited due to, for example, communication complexity, scalability, or privacy ...with consensus ... See full document

... years, distributed consensus problems have attracted much attention from many ...The distributed consensus algorithm is applied in many ...fields. Distributed average ... See full document

... adaptive algorithm adapting the filter parameters varies with the application object, among these adaptive filtering algorithms Least Mean Square algorithm and Recursive Least Squares algorithm have ... See full document

... provide performance excellence due to their inherent pole-zero structure as compared with adaptive finite impulse response (FIR) filters that have an all-zero form ,in active noise control ... See full document

... s(t) denotes the desired signal arriving at angle θ and u(t) denotes interfering signals arriving at angle of incidences θi respectively. a(θ ) and a(θi) represents the steering vectors for the desired signal and ... See full document

... functions based on their configurations. Based on our use case we are free to conduct any operation/computation that may require more than one node in ...node based on its tolerance (in time and ... See full document

... The Least Mean Square (LMS) algorithm is widely used in adaptive filters in applications ranging from adaptive equalization, echo cancellation, noise cancellation to adaptive sidelobe ca[r] ... See full document

... NLMS algorithm response and in the end follow NLMS response while beam forming capability is good it direct the beam towards desired user AOA and nullify the interference ... See full document

... comprehensive performance of several algorithms in adaptive noise cancellation are compared with each other in this ...step-size LMS algorithm based on DCT is proposed which combines both of ... See full document

... that consensus clustering can help to generate robust clustering results, find bizarre clusters, handle noise, outliers and sample variations, and integrate solutions from multiple distributed sources of ... See full document

... a distributed c-means algorithm. It is based on different previous works and applied to MRI cerebral segmentation images in order to be imple- mented on a mobile agents’ parallel and ... See full document

... DAC algorithm is employed in an undirected wireless sensor network, average consensus can be achieved ...DAC algorithm relies heavily on local state information exchange between two or more nodes in ... See full document