scholarly journals Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm

2021 ◽  
Author(s):  
Mircea Moscu ◽  
Ricardo Borsoi ◽  
Cedric Richard
Keyword(s):  
Convergence Analysis ◽  
Lms Algorithm ◽  
Graph Topology ◽  
Topology Inference

Convergence analysis of Bessel beamformer and its comparison with LMS in adaptive array system

2015 ◽  
Vol 34 (3) ◽  
pp. 952-961 ◽  
Author(s):  
M. Yasin ◽  
Pervez Akhtar
Keyword(s):  
Theoretical Model ◽  
Convergence Analysis ◽  
Digital Signal Processor ◽  
Wiener Filter ◽  
Digital Signal ◽  
Lms Algorithm ◽  
Mean Square ◽  
Least Mean Square ◽  
Content Type ◽  
Convergence Performance

Purpose – The purpose of this paper is to analyze the convergence performance of Bessel beamformer, based on the design steps of least mean square (LMS) algorithm, can be named as Bessel LMS (BLMS) algorithm. Its performance is compared in adaptive environment with LMS in terms of two important performance parameters, namely; convergence and mean square error. The proposed BLMS algorithm is implemented on digital signal processor along with antenna array to make it smart in wireless sensor networks. Design/methodology/approach – Convergence analysis is theoretically developed and verified through MatLab Software. Findings – Theoretical model is verified through simulation and its results are shown in the provided table. Originality/value – The theoretical model can obtain validation from well-known result of Wiener filter theory through principle of orthogonality.

scholarly journals Graph Topology Inference Based on Sparsifying Transform Learning

2019 ◽  
Vol 67 (7) ◽  
pp. 1712-1727 ◽  
Author(s):  
Stefania Sardellitti ◽  
Sergio Barbarossa ◽  
Paolo Di Lorenzo
Keyword(s):  
Graph Topology ◽  
Topology Inference
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