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An Iterative Linearised Solution to the Sinusoidal Parameter Estimation Problem by Jean-Marc Valin; Daniel V. Smith; Christopher Montgomery; Timothy B. Terriberry is a Computer Science article available to read on EtoBox.

What is An Iterative Linearised Solution to the Sinusoidal Parameter Estimation Problem about?

Signal processing applications use sinusoidal modelling for speech synthesis, speech coding, and audio coding. Estimation of the model parameters involves non-linear optimisation methods, which can be very costly for real-time applications. We propose a low-complexity iterative method that starts from initial frequency estimates and converges rapidly. We show that for N sinusoids in a frame of length L, the proposed method has a complexity of O(LN), which is significantly less than the matching pursuits method. Furthermore, the proposed method is shown to be more accurate than the matching pursuits and time-frequency reassignment methods in our experiments.

Who reads An Iterative Linearised Solution to the Sinusoidal Parameter Estimation Problem?

Author

Jean-Marc Valin; Daniel V. Smith; Christopher Montgomery; Timothy B. Terriberry

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0045-7906)

Published

2010

Language

EN

Field

Computer Science (Physical Sciences)