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Combined adaptive filter with LMS-based algorithms
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DOI：10.1078/1434-8411-54100175.png)
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摘要
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A combined adaptive filter is proposed. It consists of parallel LMS-based adaptive FIR filters and an algorithm for choosing the better among them. As a criterion for comparison of the considered algorithms in the proposed filter, we take the ratio between bias and variance of the weighting coefficients. Simulations results confirm the advantages of the proposed adaptive filter.
Keyword:
adaptive filter
LMS algorithm
combined algorithm
bias and variance trade-off
期刊
A
IF:
3.2
论文数:
5.8K
被引数:
8.3K
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引用论文
STATIONARY AND NONSTATIONARY LEARNING CHARACTERISTICS OF LMS ADAPTIVE FILTER.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
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