FISHER PAYKEL NINE

Brand	Owner	Address	Description
F&P 950	Fisher & Paykel Healthcare Limited	15 Maurice Paykel Place East Tamaki Auckland 2013 New Zealand	FISHER & PAYKEL NINE HUNDRED AND FIFTY;Surgical apparatus, namely, humidifiers for use in laparoscopic surgery; humidification apparatus for medical use; medical apparatus for breathing purposes; respiratory apparatus and instruments for medical purposes; medical apparatus for the treatment of breathing difficulties; humidification chambers; humidifiers for use with respiratory therapy apparatus; apparatus and equipment for the treatment of respiratory diseases and conditions; medical apparatus and instruments delivering medical gases and humidification therapy to treat respiratory diseases and conditions; breathing circuits, tracheostomy tubes, tracheal tubes, breathing tubes, nasal tubes, tubing connectors for medical use, tubing for medical use, all being for medical purposes; parts and fittings for all the aforementioned goods;
	Where the owner name is not linked, that owner no longer owns the brand

Technical Examples

A class of non data-aided cyclic based robust estimators for frequency offset estimation of multi-carrier systems is disclosed. The use of sufficient statistics provides a minimum variance unbiased (MVU) estimate of the frequency offset under complete knowledge of timing offset error. The Neyman-Fisher factorization theorem and Rao-Blackwell-Lehmann-Scheffe theorem are used to identify the sufficient statistic and appropriate mapping functions. It is shown that there is but one function of the sufficient statistics which results in the minimum variance estimate among the possible class of cyclic-based estimators. Also, a moment estimator of frequency offset is provided to obtain a consistent estimate of carrier offset under uncertain symbol timing error. The moment estimator does not rely on any probabilistic assumptions. Thus, its performance is insensitive to the distribution of the additive noise. A unified structure characterizing both the MVU and moment estimators, as well as a maximum likelihood estimator of a related, copending application is disclosed.