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Frequency Estimation Performance of Several MDCT Domain Algorithms

Published: 10 July 2014 Publication History

Abstract

The frequency estimation performance of several modified discrete cosine transform (MDCT) domain algorithms is investigated for single real sinusoidal signal in white Gaussian noise. Two discrete Fourier transform (DFT) domain algorithms are included to make comparison. It is demonstrated that most of the MDCT domain algorithms performs alike when the signal-to-noise ratio (SNR) is low. Only at sufficiently high SNR, these algorithms show their own characteristics. But compared to the DFT algorithms and the Cramer-Rao bound (CRB), there should be opportunity to develop a better estimator in the MDCT domain.

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cover image ACM Other conferences
ICIMCS '14: Proceedings of International Conference on Internet Multimedia Computing and Service
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • NSF of China: National Natural Science Foundation of China
  • Beijing ACM SIGMM Chapter

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 July 2014

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Author Tags

  1. Frequency estimation
  2. Modified discrete cosine transform
  3. audio processing

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ICIMCS '14

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