Sentence examples for mean square algorithm from inspiring English sources
Based on the constrained least mean square algorithm, an iterative learning procedure is derived and its convergence property is investigated.
In this work, a variable-tap length, variable step normalized least mean square algorithm with variable error spacing is proposed.
This paper presents a quantized kernel least mean square algorithm with a fixed memory budget, named QKLMS-FB.
A new variable step-size normalized least mean square algorithm (VSSNLMS) is proposed which is designed for applications where the unknown filter has an exponential decay impulse response.
Recently, a frequency-domain adaptive filter design method for active noise control has been proposed based on the so-called least mean square algorithm.
An analysis of the optimization of the LMS (Least Mean Square) algorithm for the estimation of time-varying and frequency-selective communication channels is here presented.
A method relying on the convex combination of two normalized filtered-s least mean square algorithms (CNFSLMS) is presented for nonlinear active noise control (ANC) systems with a linear secondary path (LSP) and nonlinear secondary path (NSP) in this paper.
Simulation results demonstrate the superiority of the proposed algorithm over existing algorithms such as the filtered-x least mean square, filtered-x logarithmic least mean square, filtered-x normalized least mean square and filtered weight filtered-x normalized least mean square algorithms in terms of convergence rate and noise reduction.
The design is based on the delayed least mean squares algorithm (DLMS).
Fuzzy measure coefficients are then estimated with an improved version of the Heuristic Least Mean Squares algorithm that includes an efficient management of untouched coefficients.
A Joint-Optimized Normalized Least Mean Squares algorithm is employed for generating the true signal by optimizing the system misalignment, which further improves the convergence of the adaptive filter in the feedforward part.
