A novel nonlinear least squares frequency estimation method which uses only a one-dimensional search routine has been recently proposed in [1]. In this paper, the variance of the estimator is analyzed at high signal-tonoise ratios. An analytical expression for the variance is derived. The dependence of the variance on the signal-tonoise ratio, the number of data partitions, the length of each p...

Naphthol isomers were simultaneously and spectrophotometrically determined in wastewater, using a model based on net analyte signal (NAS). The calibration method used is a variation of the original hybrid linear analysis method as proposed by Goicoechea and Olivieri (HLA/GO). Owing to spectral interferences, the simultaneous determination of mixtures of naphthol isomers, using a spectrophotomet...

An approximate analytical expression for the bit error rate of a QPSK homodyne receiver employing digital signal processing for carrier recovery is derived. BER estimated using the analytical expression is in excellent agreement with Monte-Carlo simulations. The analytical approximation leads to an intuitive understanding of the trade off in such systems and allows optimization of system parame...

An analytical derivation of quantization error in filter banks using additive and signal dependent noise models is presented. The coding gain over PCM is derived for both noise models. Interesting properties of coding gain in optimized filter banks with an AR(1) input signal model, asymptotic performance of multirate systems, and the analytical constraints required to achieve such performance a...

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The intelligent traffic signal (I-SIG) system aims to perform automatic and optimal control based on situation awareness by leveraging connected vehicle (CV) technology. However, the current algorithm is highly vulnerable CV data spoofing attacks. These vulnerabilities can be exploited create congestion in an intersection even trigger a cascade failure network. To avoid this issue, timely accur...

This paper addresses large-scale urban transportation optimization problems with time-dependent continuous decision variables, a stochastic simulation-based objective function, and general analytical differentiable constraints. We propose a metamodel approach to address, in a computationally efficient way, these largescale dynamic simulation-based optimization problems. We formulate an analytic...