The location of an emitter is estimated by intercepting its signal and sharing the data among several platforms to measure the time-difference-of-arrival (TDOA) and the frequency-difference-of-arrival (FDOA). Doing this in a timely fashion requires effective data compression. A common compression approach is to use a rate-distortion criterion where distortion is taken to be the mean-square erro...

The oxidative damages induced by a redox imbalance cause age-related changes in cells and tissues. Superoxide dismutase (SOD) enzymes play a pivotal role in the antioxidant system and they also catalyze superoxide radicals. Since the loss of cytoplasmic SOD (SOD1) resulted in aging-like phenotypes in several types of murine tissue, SOD1 is essential for the maintenance of tissue homeostasis. Me...

The term “empirical predictor” refers to a two-stage predictor of a linear combination of fixed and random effects. In the first stage, a predictor is obtained but it involves unknown parameters; thus, in the second stage, the unknown parameters are replaced by their estimators. In this paper, we consider mean squared errors (MSE) of empirical predictors under a general setup, where ML or REML ...

This paper theoretically analyzes the Mean Square Error (MSE) on the steady-state frequency estimation realized by the all-pass-based adaptive notch filtering algorithms with the normalized lattice structure. The adaptive algorithms to be considered are the Simplified Lattice Algorithm (SLA) proposed by Regalia and the Affine Combination Lattice Algorithm (ACLA) proposed by the authors. For the...

t is exciting to be a microelectronic systems educator considering the enormous impact of microelectronic engineers on a wide range of human endeavors. MSE fills a critical niche in enabling microelectronic systems educators to share in this excitement and exchange ideas on how to best prepare future microelectronics engineers. We challenge each other and our students to ever greater contributi...

A two-way linear mixed model with three variance components as 1, 2 2 and 2 e is applied to evaluate the performance of modi…ed Henderson’s method 3 developed by Al-Sarraj and Rosen (2007). The focus of modi…ed procedure is on the estimation of 1 which variance components is mainly concerned. The modi…ed estimator is expected to perform better than unmodi…ed Henderson’s method 3 in terms of MSE...

This paper points out that the predictability analysis of conventional time series may in general be invalid for long-range dependent LRD series since the conventional mean-square error MSE may generally not exist for predicting LRD series. To make the MSE of LRD series prediction exist, we introduce a generalized MSE. With that, the proof of the predictability of LRD series is presented in Hil...

EDUCATIONAL BACKGROUND PhD (May 1987, GPA 3.92/4.0), MSE (Aug. 1985, GPA 4.00/4.0) Dept. Electrical Engineering, University of Pennsylvania, Philadelphia, USA PhD Dissertation: Nonlinear Techniques for Detection and Filtering of Discrete-Time Signals Advisor: Professor Saleem A. Kassam MSE (Feb. 1984, GPA 4.01/4.3), BSE (Feb. 1982, GPA 3.65/4.3, magna cum laude) Dept. Electronics Engineering, S...

This paper proposes a cumulant (higher-order statistics) based mean-square-error (MSE) criterion for the design of Wiener filters when both the given wide-sense stationary random signal x(n) and the desired signal d(n) are non-Gaussian and contaminated by Gaussian noise sources. It is theoretically shown that the designed Wiener filter associated with the proposed criterion is identical to the ...