A genetic algorithm for the maximum likelihood estimation of the parameters of sinusoids in a noisy environment

Circuits, Systems, and Signal Processing

Volumn 16, Issue 1, 1997, Pages 69-81

  Abutaleb, Ahmed S ^a  

^a CAIRO UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ERROR CORRECTION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE;

PERMUTATION;

SIGNAL DETECTION;

EID: 0030784074     PISSN: 0278081X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01183176     Document Type: Article

References (16)

1. A. Abutaleb (1990), Super resolution methods of spectrum analysis for the estimation of target dynamics, MIT Lincoln Lab., Technical Report, Group 34, Lexington, MA.
2. R. Blackman and J. Tukey (1958), The measurements of power spectra from the point of view of communications engineering, Bell Syst. Tech. Journal, vol. 33, pp. 185-282.
3. C. Davila and M. Azmoodeh (1994), Efficient estimation of the signal subspace without eigen-decomposition, IEEE Trans. Signal Processing, vol. 42, no. 1, pp. 236-239.
4. L. Fogel, A. Owens, and M. Walsh (1966), Artificial Intelligence Through Simulated Evolution, John Wiley, New York.
5. D. Goldbert (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA.
6. J. Holland (1969), Adaptive plans optimal for payoff-only environments, Proc. Second Hawaii Int. Conf. Systems Sciences, pp. 917-920.
7. J. Holland (1992), Adaptation in Neural and Artificial Systems, 2nd ed., MIT Press, Cambridge, MA.
8. Y. Hua and T. Sarkar (1989), Generalized pencil of function method for extracting poles of an EM system from its transient response, IEEE Trans. Antennas and Propagation, vol. AP-37, no. 2.
9. IEEE Transactions on Neural Networks (1994), Special issue on Genetic Algorithms or Evolutionary Computation, vol. 5, no. 1.
10. S. Kay (1988), Modern Spectral Estimation: Theory and Applications, Prentice-Hall, Englewood Cliffs, NJ.
11. S. Kay and V. Nagesha (1994), Maximum likelihood estimation of signals in autoregressive noise, IEEE Trans. Signal Processing, vol. 42, no. 1, pp. 88-101.
12. L. Marple, Jr. (1987), Digital Spectral Analysis with Applications, Prentice-Hall, Englewood Cliffs, NJ.
13. S. Matwin, T. Szapiro, and K. Haigh (1991), Genetic algorithms approach to a negotiation support system, IEEE Trans. Systems Man and Cybernetics, vol. 21, no. 1, pp. 102-114.
14. X. Qi and F. Palmieri (1994), Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space: Parts I and II, IEEE Trans. Neural Networks, vol. 5, no. 1, pp. 102-129.
15. D. Tufts and R. Kumaresan (1982), Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood, Proc. IEEE, vol. 70, pp. 975-989.
16. L. Yao and W. Sethares (1994), Nonlinear parameter estimation via the genetic algorithm, IEEE Trans. Signal Processing, vol. 42, no. 4, pp. 927-935.