Name
Title | ||
|---|---|---|
Detection and estimation of arrivals in room impulse responses by greedy sparse approximation |
Abstract | ||
|---|---|---|
We investigate the use of greedy sparse approximation for facilitating the time-domain analysis of room impulse responses (RIRs), specifically locating the times and amplitudes of arrivals to not long after the upper bound of the “mixing time,” i.e., the time after which there exists in theory the same number of sound rays per unit volume throughout the room. We compare the performance of two methods of greedy sparse approximation - matching pursuit (MP) and orthogonal MP (OMP) - for estimating arrival times and amplitudes. By using RIRs generated from a stochastic model, we quantify the performance of each estimator using dynamic time warping to optimally pair estimated and true arrivals. We find OMP significantly outperforms MP in estimating both the arrival times and amplitudes, and having fewer erroneous and duplicated arrivals. |
Year | Venue | Keywords |
|---|---|---|
2010 | Aalborg | approximation theory,greedy algorithms,stochastic processes,time-domain analysis,time-of-arrival estimation,transient response,mp,rir,arrival time estimation,dynamic time warping,greedy sparse approximation,matching pursuit,orthogonal mp,room impulse response,stochastic model,upper bound,signal to noise ratio,estimation,acoustics |
Field | DocType | ISSN |
Matching pursuit,Mathematical optimization,Dynamic time warping,Upper and lower bounds,Computer science,Sparse approximation,Signal-to-noise ratio,Algorithm,Stochastic process,Impulse (physics),Estimator | Conference | 2219-5491 |
Citations | PageRank | References |
1 | 0.41 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bob L. Sturm | 1 | 241 | 29.88 |
| Guillaume DeFrance | 2 | 1 | 0.41 |