Behavior of the least mean square algorithm with a periodically time‐varying input power

DOI10.1002/ACS.2286zbMath1263.93243OpenAlexW1898177035MaRDI QIDQ4921783

Eweda Eweda

Publication date: 13 May 2013

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2286

zbMATH Keywords

trackingLMS algorithmadaptive signal processing

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Least squares and related methods for stochastic control systems (93E24) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Stochastic analysis of the diffusion least mean square and normalized least mean square algorithms for cyclostationary white Gaussian and non-Gaussian inputs

Cites Work

• A note on ``Performance analysis of the DCT-LMS adaptive filtering algorithm
• Optimization of adaptive identification for time-varying filters
• Exact Convergence Analysis of Adaptive Filter Algorithms Without the Persistently Exciting Condition
• Steady-State Performance Analysis of a Variable Tap-Length LMS Algorithm
• Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
• A new adaptive algorithm for reducing non‐linear effects from saturation in active noise control systems
• Leaky Delayed LMS Algorithm: Stochastic Analysis for Gaussian Data and Delay Modeling Error
• An LMS style variable tap-length algorithm for structure adaptation

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