Journal article
On Perceptual Distortion Minimization and Nonlinear Least-Squares Frequency Estimation
In this paper, we present a framework for perceptual error minimization and sinusoidal frequency estimation based on a new perceptual distortion measure, and we state its optimal solution. Using this framework, we relate a number of well-known practical methods for perceptual sinusoidal parameter estimation such as the prefiltering method, the weighted matching pursuit, and the perceptual matching pursuit.
In particular, we derive and compare the sinusoidal estimation criteria used in these methods. We show that for the sinusoidal estimation problem, the prefiltering method and the weighted matching pursuit are equivalent to the perceptual matching pursuit under certain conditions.
| Language: | English |
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| Publisher: | IEEE |
| Year: | 2006 |
| Pages: | 99-109 |
| ISSN: | 15587924 and 15587916 |
| Types: | Journal article |
| DOI: | 10.1109/TSA.2005.860347 |
Acoustic noise Audio coding Distortion measurement Filters Frequency estimation Matching pursuit algorithms Nonlinear distortion Signal processing Speech coding Speech enhancement Speech processing estimation filtering theory frequency estimation least squares approximations matching pursuit nonlinear least-squares frequency estimation perceptual distortion measures perceptual distortion minimization perceptual error minimization perceptual matching pursuit perceptual sinusoidal parameter estimation prefiltering method signal representations sinusoidal frequency estimation sinusoidal modeling weighted matching pursuit
