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Fractional tap-length algorithm with uniformly adjusted parameters
by
Shao, Weihua
, Han, Yufei
, Li, Yao
, Li, Yibo
in
Accumulated and transient full
/ Algorithms
/ Analysis
/ Changing environments
/ Engineering
/ Influence
/ Length adaptation step
/ Length algorithm; Error width; Tap
/ Low noise
/ Noise control
/ Parameters
/ Partial errors; Fractional tap
/ Performance enhancement
/ Quantum Information Technology
/ Signal,Image and Speech Processing
/ Size
/ Spintronics
2025
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Fractional tap-length algorithm with uniformly adjusted parameters
by
Shao, Weihua
, Han, Yufei
, Li, Yao
, Li, Yibo
in
Accumulated and transient full
/ Algorithms
/ Analysis
/ Changing environments
/ Engineering
/ Influence
/ Length adaptation step
/ Length algorithm; Error width; Tap
/ Low noise
/ Noise control
/ Parameters
/ Partial errors; Fractional tap
/ Performance enhancement
/ Quantum Information Technology
/ Signal,Image and Speech Processing
/ Size
/ Spintronics
2025
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Fractional tap-length algorithm with uniformly adjusted parameters
by
Shao, Weihua
, Han, Yufei
, Li, Yao
, Li, Yibo
in
Accumulated and transient full
/ Algorithms
/ Analysis
/ Changing environments
/ Engineering
/ Influence
/ Length adaptation step
/ Length algorithm; Error width; Tap
/ Low noise
/ Noise control
/ Parameters
/ Partial errors; Fractional tap
/ Performance enhancement
/ Quantum Information Technology
/ Signal,Image and Speech Processing
/ Size
/ Spintronics
2025
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Fractional tap-length algorithm with uniformly adjusted parameters
Journal Article
Fractional tap-length algorithm with uniformly adjusted parameters
2025
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Overview
The error width and the tap-length adaptation step-size are two critical factors that affect the overall performance of the fractional variable tap-length algorithm. Some reasonably adjusted strategies can improve the performance. However, the existing strategies for adjusting these two parameters have many problems, such as overestimation, large fluctuations, underestimation, insufficient analysis of the parameter and high complexity. Therefore, this paper proposes an efficient and unified adjustment method that utilizes the accumulated and transient full-partial errors to adjust these two parameters simultaneously. The detailed parameter ranges and specific performance of the proposed algorithm were all analyzed. In the simulation, high and low noise situations, sudden environmental changes, large- and small-scale systems, continuously changing environment and key performance curves were tested. The results of theoretical analysis and experimental tests jointly confirmed that the proposed algorithm can quickly and reasonably update the tap-length and improve some performance.
Publisher
Springer International Publishing,Springer,Springer Nature B.V,SpringerOpen
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