一般的LMS算法应用参见该篇。 一般的LMS实际应用 本文设计LMS背后的数学理论知识。 1. The Least Mean Squares algorithm (LMS) SD研究的最陡下降方法是一种递归计算信号统计量已知时维纳滤波器的递归算法 (knowledge about R och p)。
This chapter develops an alternative to the method of steepest descent called the least mean squares (LMS) algorithm, which will then be applied to problems in which the second-order statistics of the signal are unknown. Due to its simplicity, the LMS algorithm is perhaps the most widely used...
The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteristics that the parameterized model may have. Assuming that such model is sparse in some domain (for example, it has...
Diffusion Quantum-Least Mean Square Algorithm with Steady-State Analysis Circuits, Systems, and Signal Processing - Diffusion least mean square (LMS) algorithm is a well-known algorithm for distributed estimation where estimatio... M Arif,M Moinuddin,I Naseem,... - 《Circuits Systems & Signal Pr...
On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly faster than the normalized least-mean-squares (NLMS) algorithm generally used in echo cancelers to date. In PNLMS adaptation, the adaptation gain at each tap position varies from...
A hybrid phase unwrapping algorithm has been proposed recently, which uses a window-based technique and two local phase unwrapping approaches to determine gradient information for each window. However, with this approach, in many practic... RS Schone,O Schwarz,K Gastinger,... - Proceedings of ...
(redirected fromWiener Least Mean Squares) AcronymDefinition WLMSWorkload Management System WLMSWorld Language Mapping System WLMSWest Lee Middle School(Sanford, NC) WLMSWest Lake Middle School(Apex, NC) WLMSWater Level Monitoring System WLMSWiener Least Mean Squares(algorithm) ...
The proposed two-dimensional median least mean squares (TDMLMS) algorithm is a gradient-based steepest descent algorithm and employs the sample median of the instantaneous gradients within a suitable window as a measure of the true gradient. The nonlinear action of the median filtering operation ...
the filtered-x Least mean squares (FxLMS) algorithm, could be degraded [19]. An approach that does not suffer from these drawbacks is a recent application of multi-channel distributed FxLMS algorithm that aims to suppress the measurement noise in the reference frequency for active control of ...
Theq-Least Mean Squares algorithm Signal Processing Volume 111,June 2015, Pages 50-60 Purchase options CorporateFor R&D professionals working in corporate organizations. Academic and personalFor academic or personal use only. Looking for a customized option?