Abstract
In this paper, we introduce a framework for adaptive filtering techniques with simplified recursion. The simplification is mainly carried out by rounding the full-precision error information of the recursion to their closest power-of-two values. A new method for power-of-two quantization is proposed in this study. The method uses companded delta modulation structure to perform the quantization. The proposed structure shows a performance that is comparable to that of full precision adaptive filters. Convergence analysis of this structure is included and closed-form expressions for the error statistics are derived. Furthermore, an efficient method for implementing the new structure is presented where only simple shift and loop operations are required.
| Original language | English |
|---|---|
| Pages (from-to) | 321-333 |
| Number of pages | 13 |
| Journal | Digital Signal Processing: A Review Journal |
| Volume | 18 |
| Issue number | 3 |
| DOIs | |
| State | Published - May 2008 |
Bibliographical note
Funding Information:The author would like to acknowledge the support of King Fahd University of Petroleum and Minerals for this work.
Keywords
- Adaptive filtering
- Convergence analysis
- Delta modulation
- Efficient algorithms
- Implementation
- Least mean squares
- Log-LMS
- Power-of-two quantization
- Sign algorithm
ASJC Scopus subject areas
- Signal Processing
- Computer Vision and Pattern Recognition
- Statistics, Probability and Uncertainty
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Artificial Intelligence
- Applied Mathematics