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Iterative autoregressive parameter estimation in presence of additive white noise

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2 Author(s)
Chung, W.G. ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea ; Un, C.K.

An improved autoregressive spectral estimator in the presence of additive white noise is presented. The proposed algorithm is based on cancelling the spectral zeros through iterations. Simulation results indicate that a significant decrease in the bias and variance of the autoregressive spectral estimator may be achieved at the expense of some additional computation.

Published in:

Electronics Letters  (Volume:27 ,  Issue: 20 )