Name
Title | ||
|---|---|---|
Improved convergent distributed arithmetic based low complexity pipelined least-mean-square filter. |
Abstract | ||
|---|---|---|
This study presents an improved convergent distributed arithmetic (DA)-based low complexity pipelined least-mean-square filter. The concept is based on a convex combination of two adaptive filters (ADFs) where the convergence performance of the combined filter is adjusted by the step-sizes of ADFs. The proposed technique replaced two ADF units by a single unit of the DA-based ADF. Further reductio... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-cds.2018.0041 | IET Circuits, Devices & Systems |
Keywords | Field | DocType |
adaptive filters,application specific integrated circuits,distributed arithmetic,integrated circuit design,least mean squares methods,low-power electronics | Least mean squares filter,Convergence (routing),SI base unit,Adder,Control theory,Convex combination,Arithmetic,Application-specific integrated circuit,Multiplexer,Adaptive filter,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 6 | 1751-858X |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohd Tasleem Khan | 1 | 10 | 4.69 |
| Rafi Ahamed Shaik | 2 | 47 | 6.03 |
| Matcha Surya Prakash | 3 | 1 | 0.37 |