Name
Abstract | ||
|---|---|---|
An efficient computation algorithm, based on unitary Jacobi-type rotations, is developed for fast least-square deconvolution. Specifically, this algorithm is able to solve a positive definite covariance matrix with a special Toeplitz structure in O(N2) operations instead of O(N3) operations. This algorithm, which takes advantage of the inherent structure of the underlying deconvolution problem, is guaranteed to be numerically stable since only unitary transformation is used. It is implemented on an experimental system for the estimation of human vocal tract cross-section. A significant gain in processing is observed |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1109/29.56053 | IEEE Transactions on Acoustics, Speech, and Signal Processing |
Keywords | Field | DocType |
unitary transformation,fast least-square deconvolution algorithm,numerically stable,efficient computation algorithm,matrix algebra,speech synthesis,speech analysis and processing,unitary jacobi-type rotations,vocal tract cross section estimation,positive definite covariance matrix,special toeplitz structure,cross section,signal processing,least squares approximation,linear systems,human voice,deconvolution,system identification,least square,positive definite,covariance matrix,vocal tract | Least squares,Mathematical optimization,Blind deconvolution,Deconvolution,Unitary transformation,Algorithm,Toeplitz matrix,Covariance matrix,Vocal tract,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
38 | 6 | 0096-3518 |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. H. Hu | 1 | 42 | 9.38 |
| P. L. Milenkovic | 2 | 1 | 0.38 |