Name
Title | ||
|---|---|---|
Efficient computation schemes and bit-serial architectures for normalized LMS adaptive filtering in audio applications |
Abstract | ||
|---|---|---|
Efficient calculation schemes are developed for the normalized LMS adaptive filtering. The division for normalization and the multiplication for coefficient adaptation are avoided without causing noticeable performance reduction. The proposed computation schemes are realized by bit-serial architectures which can easily satisfy the speed requirement of audio applications |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ISCAS.2000.856148 | ISCAS |
Keywords | Field | DocType |
adaptive filters,audio signal processing,filtering theory,least mean squares methods,audio applications,bit-serial architectures,computation schemes,normalized lms adaptive filtering,speed requirement,least squares approximation,adaptive signal processing,adaptive filter,hardware,computer architecture,satisfiability,finite impulse response filter | Normalization (statistics),Computer science,Electronic engineering,Multiplication,Kernel adaptive filter,Adaptive filter,Audio signal processing,Filtering theory,Recursive least squares filter,Computation | Conference |
Volume | ISBN | Citations |
3 | 0-7803-5482-6 | 1 |
PageRank | References | Authors |
0.49 | 5 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsiang-Feng Chi | 1 | 22 | 4.14 |