Process / pipelineAdaptive signal processing

自适应LMS滤波器

最小均方（LMS）滤波器是一种自适应信号处理算法，它不断更新滤波器系数，以最小化滤波器输出与期望信号之间的均方误差。LMS算法由Bernard Widrow和Marcian Hoff于1960年提出，因其简单性、低计算成本以及跟踪时变信号的能力，成为最广泛使用的自适应滤波技术之一。

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自适应LMS滤波器

Widrow, B., & Hoff, M. E. (1960). Adaptive Switching Circuits. IRE Wescon Convention Record, 4, 96–104. link ↗
Haykin, S. (2002). Adaptive Filter Theory (4th ed.). Prentice Hall. link ↗

ScholarGate. (2026, June 3). Least Mean Squares Adaptive Filter. ScholarGate. https://scholargate.app/zh/signal-processing/adaptive-lms-filter

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.