Most contemporary clinical reasoning tests typically assess non-automatic thinking. Therefore, a test is needed to measure automatic reasoning or pattern recognition, which has been largely neglected in clinical reasoning tests. The Puzzle Test (PT) is dedicated to assess automatic clinical reasoning in routine situations. This test has been introduced first in 2009 by Monajemi et al in the Oly...

Speech recognition is one of our most effective communication tools when it comes to a hands-free (human-machine) interface. Most current speech recognition systems are capable of achieving good performance in clean acoustic environments. However, these systems require the user to turn the microphone on/off to capture voices only. Also, in hands-free environments, degradation in speech recognit...

Abstract - Use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The Part1 of the two parts paper focuses on Fourier-based techniques including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault fete...

Wavelets have been a prominent image analysis tool over the past decade. Face recognition researchers use it for varied reasons – pre-processing, compression and feature extraction. We refer the reader to [1] for a good review on the theory and applications of wavelets in face recognition. In this chapter we will concentrate on some new transforms that have emerged from the limitations in wavel...