方法证据记录
Adaptive LMS Filter
The Least Mean Squares (LMS) filter is an adaptive signal processing algorithm that continuously updates filter coefficients to minimize the squared error between the filter output and a desired signal. Introduced by Bernard Widrow and Marcian Hoff in 1960, the LMS algorithm is one of the most widely used adaptive filtering techniques due to its simplicity, low computational cost, and ability to track time-varying signals.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Least Mean Squares Adaptive Filter
分类方法记录 · process-pipeline / signal-processing
- Widrow, B., & Hoff, M. E. (1960). Adaptive Switching Circuits. IRE Wescon Convention Record, 4, 96–104. · URL
- Haykin, S. (2002). Adaptive Filter Theory (4th ed.). Prentice Hall. · URL
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