Objectives This report presents the findings of an updated study of the validity of race and Hispanic-origin reporting on death certificates in the United States, and its impact on race- and Hispanic origin-specific death rates. Methods The latest version of the National Longitudinal Mortality Study (NLMS) was used to evaluate the classification of race and Hispanic origin on death certificate...

Per tone equalization was recently proposed as an alternative equalization structure for multicarrier systems. In this paper we propose two NLMS based variable length per tone equalization algorithms. In the first algorithm, the number of equalizer taps used in every subchannel is determined according to channel conditions which results in a reduction in equalization complexity. While the secon...

This study aimed to investigate and compare nonlinear growth models (NLMs) with the predicted performance of broilers using an artificial neural network (ANN). Six hundred forty broiler chicks were sexed and randomly reared in 32 separate pens as a factorial experiment with 4 treatments and 4 replicates including 20 birds per pen in a 42-day period. Treatments consisted of 2 metabolic energy le...

In this paper, we present a novel adaptive beamforming algorithm for multiuser detection in wideband code division multiple access (WCDMA) systems. The algorithm is based on a new sub-block normalized least mean squares optimization in conjunction with the despread-respread technique. We denote this new algorithm using the acronym Sub-Block NLMS-DRMTA, which stands for sub-block normalized leas...

Channel estimation problem is one of the key technical issues for broadband multiple-input–multiple-output (MIMO) signal transmission. To estimate the MIMO channel, a standard least mean square (LMS) algorithm was often applied to adaptive channel estimation because of its low complexity and stability. The sparsity of the broadband MIMO channel can be exploited to further improve the estimation...

This paper proposes the implementation of a Gray encoded structure for harmonics power line interference cancelling. The structure uses dedicated hardware architecture for the Least Mean Square (LMS) adaptive filtering algorithm, as well as its normalized version (NLMS). In the used scheme, from a 60Hz reference signal, the algorithms are able to estimate the superior harmonics, using after the...

Traditional stable adaptive filter was used normalized least-mean square (NLMS) algorithm. However, identification performance of the traditional filter was especially vulnerable to degradation in low signal-noise-ratio (SRN) regime. Recently, adaptive filter using normalized least-mean fourth (NLMF) is attracting attention in adaptive system identifications (ASI) due to its high identification...