Title :
Assessment of cumulant-based approaches to harmonic retrieval
Author :
Shin, Dai C. ; Mendel, Jerry M.
Author_Institution :
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The authors answer the following questions regarding solving the harmonic retrieval problem using second- or fourth-order statistics: (1) How do cumulant-based results compare against correlation-based results?; (2) How robust are the cumulant-based methods to tones of different local SNRs?; (3) How close can the two tones be brought together before cumulant-based methods break down?; (4) Does one have to use a high-resolution method, such as MUSIC or Minimum Norm, or can the Pisarenko method be used?; and (5) What is the `footprint´ of success for the cumulant-based methods? Extensive simulations are used to provide the answers
Keywords :
harmonic analysis; signal processing; spectral analysis; statistical analysis; MUSIC; Minimum Norm; Pisarenko method; cumulant-based approaches; fourth-order statistics; harmonic retrieval; second order statistics; signal processing; spectral analysis; Additive noise; Amplitude estimation; Equations; Frequency estimation; Image processing; Image retrieval; Multiple signal classification; Robustness; Signal processing; Statistics;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226534