This paper provides a theoretical analysis of the properties of Wavelet based maximum likelihood estimation of the parameters describing 1=f processes embedded in white noise. This analysis shows that such a scheme is only consistent for spectral exponents in the range 2 (0; 1). This is in contradiction to the results suggested in previous empirical studies. When 2 (0; 1) this paper also establ...

A maximum likelihood sequence estimator for the dispersive Rayleigh fading channel is developed. Following [1, 2], the MLSE uses a Kalman based channel estimator to acquire the channel parameters necessary to formulate the maximum likelihood metric. However, unlike the MLSE receiver presented in [1, 2], the proposed receiver uses the f-power series channel model [3, 4] to formulate the ML metri...

A nonlinear electrical equalization technique is proposed to improve the performance in optical duobinary modulation system. We show that more than 1000ps/nm dispersion tolerance improvement and comparable performance to MLSE equalizer can be achieved.

The method of maximum likelihood (ML), introduced by Fisher (1921), is widely used in human and quantitative genetics and we draw upon this approach throughout the book, especially in Chapters 13–16 (mixture distributions) and 26–27 (variance component estimation). Weir (1996) gives a useful introduction with genetic applications, while Kendall and Stuart (1979) and Edwards (1992) provide more ...