Name
Title | ||
|---|---|---|
A Superfast Toeplitz Matrix Inversion Method for Single- and Multi-Channel Inverse Filters and Its Application to Room Equalization |
Abstract | ||
|---|---|---|
This paper derives a superfast Toeplitz matrix inversion method using FFT techniques. The approach casts the non-periodic Toeplitz matrix solution into a periodic framework and uses the Woodbury matrix inverse identity to express the non-periodic solution as a correction to the time-windowed periodic solution. It is shown that the solution can be implemented using FFT techniques that avoid the calculation of a large matrix inverse. The method is implemented for both single- and multi-channel cases and typical computation times and accuracy are reported for the equalization of simulated and measured room impulse responses. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TASLP.2021.3120650 | IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING |
Keywords | DocType | Volume |
MIMO communication, Frequency-domain analysis, Finite impulse response filters, Adaptive filters, Transfer functions, Matrix decomposition, Matrices, Equalization, inverse filter, multi-channel systems, MIMO systems | Journal | 29 |
Issue | ISSN | Citations |
1 | 2329-9290 | 0 |
PageRank | References | Authors |
0.34 | 25 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark A. Poletti | 1 | 2 | 1.56 |
| Paul D. Teal | 2 | 104 | 13.58 |