Title :
Accurate and robust frequency estimation in the ODFT domain
Author :
Ferreira, Aníbal ; Sinha, Deepen
Author_Institution :
Porto Univ.
Abstract :
This paper presents new results improving by a factor of 10 the accuracy of an odd-DFT based frequency estimation algorithm. These results are shown to be robust to the influence of additive noise and compare favorably to other non-iterative frequency domain estimation algorithms. A perspective is given on possible application areas, namely those involving real-time constraints
Keywords :
discrete Fourier transforms; frequency estimation; signal processing; additive noise; frequency estimation; noniterative frequency domain estimation algorithms; odd-DFT; Additive noise; Algorithm design and analysis; Cepstral analysis; Estimation error; Frequency domain analysis; Frequency estimation; Multimedia systems; Noise robustness; Signal analysis; Time domain analysis;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2005. IEEE Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
0-7803-9154-3
DOI :
10.1109/ASPAA.2005.1540205
