Journal ArticleDOI
Channel equalization using simplified least mean-fourth algorithm
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TLDR
A new adaptive equalization technique is proposed that combines both the least-mean-fourth (LMF) algorithm, which is governed by a non- Mean-square cost function, with a power-of-two quantizer (PTQ) in the coefficient update process, which greatly reduces the computational cost involved and which therefore makes the proposed technique applicable to time-varying environments.About:
This article is published in Digital Signal Processing.The article was published on 2011-05-01. It has received 25 citations till now.read more
Citations
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Journal ArticleDOI
Quantized Kernel Least Mean Square Algorithm
TL;DR: A quantized kernel least mean square (QKLMS) algorithm is developed, which is based on a simple online vector quantization method, and a lower and upper bound on the theoretical value of the steady-state excess mean square error is established.
Journal ArticleDOI
Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration
Gajendra Singh Chawda,Abdul Gafoor Shaik,Om Prakash Mahela,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen +4 more
TL;DR: A comprehensive review of various conventional and adaptive algorithms used to control DFACTS devices for improvement of power quality in utility grids with RE penetration is presented.
Journal ArticleDOI
Adaptive system identification using robust LMS/F algorithm
TL;DR: An effective approach to identify unknown system adaptively by using combined LMS and LMF algorithms in different SNR regions is proposed and experiment-based parameter selection is established to optimize the performance as well as to keep the low computational complexity.
Journal ArticleDOI
Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis
TL;DR: A novel family of adaptive robust channel estimators for highly challenging underwater acoustic channels using adaptive filtering techniques based on minimization of a logarithmic cost function, which results in a better trade-off between the convergence rate and the steady state performance of the algorithm.
Journal Article
Design of IIR Digital Filter using Modified Chaotic Orthogonal Imperialist Competitive Algorithm (RESEARCH NOTE)
TL;DR: In this article, the performance of chaotic orthogonal imperialist competitive algorithm has been improved through some modifications in it and this modified algorithm was applied in designing IIR digital filters and their performance has been compared to many evolutionary algorithms.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book
Probability, random variables and stochastic processes
TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Book
Probability, random variables, and stochastic processes
TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.