Name
Abstract | ||
|---|---|---|
The implementation of adaptive filters with fixed-point arithmetic requires us to evaluate the computation quality. The accuracy can be determined by calculating the global quantization noise power in the system output. In this paper, a new model for evaluating analytically the global noise power in the APA (affine projection algorithm) is developed. The model is presented and applied to the NLMS-OCF. The accuracy of our model is analyzed by experimentation. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICASSP.2005.1416239 | ICASSP (5) |
Keywords | Field | DocType |
orthogonal correction factors algorithm,fixed-point arithmetic,nlms-ocf,global quantization noise power,circuit noise,fixed point arithmetic,lms algorithm,least mean squares methods,adaptive filters,fixed-point apa algorithm,adaptive filter,fixed point,algorithm design and analysis,quantization noise,signal to noise ratio,quantization,least squares approximation,convergence | Mathematical optimization,Noise power,Fixed-point arithmetic,Computer science,Control theory,Algorithm,Affine projection algorithm,Adaptive filter,Fixed point,Quantization (signal processing),Recursive least squares filter,Computation | Conference |
Volume | ISSN | ISBN |
5 | 1520-6149 | 0-7803-8874-7 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romuald Rocher | 1 | 94 | 8.38 |
| Daniel Menard | 2 | 207 | 19.00 |
| Olivier Sentieys | 3 | 597 | 73.35 |
| Pascal Scalart | 4 | 925 | 283.73 |