With the reducing distances between wires in deep submicron technologies, coupling capacitances are becoming significant as their magnitude becomes comparable to the area capacitance and fringing capacitance of a wire. This causes an increasing susceptibility to failure due to inadvertent noise, and leads to a requirement for accurate noise estimation. An incorrect estimation of the noise could...

Mental representations of numerical magnitude are commonly thought to undergo discontinuous change over development in the form of a "representational shift." This idea stems from an apparent categorical shift from logarithmic to linear patterns of numerical estimation on tasks that involve translating between numerical magnitudes and spatial positions (such as number-line estimation). However,...

Because of the low accuracy of estimation and uncertainty of the techniques used in the past to Software Cost Estimation (SCE), software producers face a high risk in practice with regards to software projects and they often fail in such projects. Thus, SCE as a complex issue in software engineering requires new solutions, and researchers make an effort to make use of Meta-heuristic algorithms ...

Estimation of the clean speech short-time magnitude spectrum (MS) is key for enhancement and separation. Moreover, an automatic recognition (ASR) system that employs a front-end relies on MS estimation to remain robust. Training targets deep learning approaches fall into three categories: computational auditory scene analysis (CASA), MS, minimum mean square error (MMSE) estimator training targe...

The development of modeling and estimation strategies, useful for determining the magnitude location unknown flows such as seepage leaks, appears a valuable tool to increase efficiency open-channel irrigation systems (OCIS). However, it has been identified that in OCIS, most strategies reported on detection, isolation, (DIMEUF) have developed from linear models do not include information about ...

Weber's law-the observation that the ability to perceive changes in magnitudes of stimuli is proportional to the magnitude-is a widely observed psychophysical phenomenon. It is also believed to underlie the perception of reward magnitudes and the passage of time. Since many ecological theories state that animals attempt to maximize reward rates, errors in the perception of reward magnitudes and...

Conventional estimation methods applied to Rician distributed data, (such as magnitude magnetic resonance data) yield biased results. In our work, it is shown where the bias appears. Furthermore, a novel estimation technique, based on Maximum Likelihood estimation, is developed for optimal estimation of signal as well as noise from Rician distributed data. It is shown that the proposed method i...