Name
Abstract | ||
|---|---|---|
In this article, we consider the design of broadband beamformers with low complexity. In fact, the design problem is multi-objective in nature, trading off between speech distortion and noise suppression. Finding a balance between these two objectives is important in order to achieve a desired sound quality. These measures are introduced as the objectives here. The design can then be obtained via a bi-objective integer programming problem, where the coefficients of the filters are expressed as sums of signed powers-of-two terms. We study two different integer spaces and penalty functions for solving the problem. Then, an algorithm based on a discrete filled function is developed for finding the optimal design. In order to illustrate the effectiveness of the algorithm, real data is used and two broadband beamformers are demonstrated. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1186/1687-6180-2012-62 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
algorithms,design,integer programming,beamforming | Integer,Computer science,Optimal design,Broadband,Sound quality,Integer programming,Artificial intelligence,Sequential quadratic programming,Finite impulse response,Beamforming,Mathematical optimization,Algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
2012 | 1 | 1687-6180 |
Citations | PageRank | References |
5 | 0.36 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Guo Feng | 1 | 46 | 4.22 |
| Ka Fai Cedric Yiu | 2 | 176 | 23.70 |
| K. L. Teo | 3 | 1643 | 211.47 |
| Sven Nordholm | 4 | 405 | 62.82 |