We introduce an efficient iterative algorithm, intended for various least squares problems, based on a design of experiments perspective. The algorithm, called orthogonalizing EM (OEM), works for ...

Signal-to-Noise Ratio (SNR) Improvement: Studies show significant SNR improvements, with zero-phase filtering alone ...

A very important problem in mathematical statistics is that of finding the best linear or non-linear regression equation to express the relation between a dependent variable and one or more ...

ELEC_ENG/COMP_ENG 395-0 (Probabilistic Systems) or ELEC_ENG 422-0 (Random Processes in Communication and Control I) recommended. Applications of adaptive filtering to speech processing and noise ...

In the supply and demand model, P is an endogenous variable, and consequently the OLS estimates are biased. The following example estimates this model using two-stage least squares: proc syslin ...