In this paper we address the problem of adaptive state observation of linear timevarying systems with delayed measurements and unknown parameters. Our new developments extend the results reported in 1 and 2 . The case with known parameters has been studied by many researchers-see 3,4 and references therein. We show in this paper that the generalized parameter estimation-based observer design proposed in 5 provides a very simple solution for the unknown parameter case. Moreover, when this observer design technique is combined with the dynamic regressor extension and mixing estimation procedure 6,7 , the estimated state and parameters converge in fixed-time imposing extremely weak excitation assumptions.