Name
Title | ||
|---|---|---|
High-Performance VLSI Architecture of DLMS Adaptive Filter for Fast-Convergence and Low-MSE |
Abstract | ||
|---|---|---|
This brief presents a high-performance VLSI architecture of delayed least mean square (DLMS) adaptive filter for fast-convergence and low-mean square error (MSE) using distributed arithmetic (DA). The proposed design estimates response against the adaptation delays using a parallel predictive adder tree followed by a shift accumulate (SA) unit. An efficient quantization scheme with two bits of scaled error signal is also suggested. Single SA unit for multiple DA bases is used to reduce the number of adders and registers. Simulation and synthesis results show that the proposed design for 32
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup>
order provides 19.72% lesser area, 25.51% lesser power, lesser 28.89% MSE and 59.91% lesser MSE/area over the best existing design. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSII.2022.3141687 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | DocType | Volume |
Adder tree (AT),adaptive filter (ADF),least mean square (LMS),mean square error (MSE),pipelining | Journal | 69 |
Issue | ISSN | Citations |
4 | 1549-7747 | 0 |
PageRank | References | Authors |
0.34 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohd Tasleem Khan | 1 | 10 | 4.69 |
| Rafi Ahamed Shaik | 2 | 0 | 0.34 |