Problem statement: This study investigated zero crossing features and selected MPEG-7 audio descriptors for environment sound recognition applications such as audio forensics. Approach: The study implemented several experiments focusing on the problems of environment recognition from audio particularly for forensic applications. Results: It was investigated the effect of the temporal zero cross...

This paper presents a novel predictive digital control method for boundary conduction mode PFC converters without the need for detecting the inductor current. In the proposed method, the inductor current is predicted by analytical equations instead of being detected by a sensing-resistor. The predicted zero-crossing point of the inductor current is determined by the values of the input voltage,...

We present an expression for the nonlinear evolution of the cosmological power spectrum based on following Lagrangian trajectories. This is simplified using the Zel’dovich approximation to trace particle displacements, assuming Gaussian initial conditions. The model is found to exhibit the transfer of power from large to small scales expected in self-gravitating fields. Some exact solutions are...

This thesis concerns a new zero-crossing-based binaural model for spatial hearing. Conventional binaural model computes cross-correlations of binaural signals for the estimation of the interaural time difference which is a primary spatial cue. However, the cross-correlationbased binaural processing model requires high computational complexity and suffers from inaccuracies in localizing sound so...

In this paper we investigate on-line zero-crossing based audio stream segmentation and classification into speech and other segments. We consider such segments as applause, noise of the auditorium, and silence. We demonstrate that the features extracted from zero-crossing are stable and valid to be used for speech and other signal discrimination and classification and don’t require large amount...

In this paper, we introduce a new criterion for analytically evaluating different edge detectors (both gradient and zero-crossing based methods) without the need of ground-truth information. Our criterion is based on our observation that most edge detectors make a decision of whether a pixel is an edgel or not based on the result of convolution of the image with a kernel. The variance of the co...