Name
Abstract | ||
|---|---|---|
In this paper, the problem of noise reduction is addressed as a linear filtering problem in a novel way by using concepts from subspace-based enhancement methods, resulting in variable span linear filters. This is done by forming the filter coefficients as linear combinations of a number of eigenvectors stemming from a joint diagonalization of the covariance matrices of the signal of interest and ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TASLP.2015.2505416 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Noise reduction,Speech,Distortion,Correlation,Speech processing,Noise measurement,Eigenvalues and eigenfunctions | Wiener filter,Median filter,Computer science,Prototype filter,Salt-and-pepper noise,Speech recognition,Adaptive filter,Matched filter,Nonlinear filter,Filter design | Journal |
Volume | Issue | ISSN |
24 | 4 | 2329-9290 |
Citations | PageRank | References |
9 | 0.53 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jesper Jensen | 1 | 1548 | 133.47 |
| Jacob Benesty | 2 | 32 | 5.57 |
| Mads Grísbøll Christensen | 3 | 761 | 76.48 |