in order to the enhancement of the quality of speech corrupted by additive noise, a speech enhancement method has been put forward based on the combination of spectral subtraction and binary masking. spectral subtraction is a powerful method for removing noise from speech and binary masking provides essential elements to be used in monaural speech segregation. in the proposed combined method, f...

the purpose of this study is the fusion of polarimetric sar and hyperspectral images for concealed target detection in forest areas. the proposed method is using the polarimetric and the spectral signatures. a radarsat-2 image and a hyperion image of the city san francisco were chosen for evaluation of the proposed method. the four targets were selected in the forest and the outer areas. three ...

In this paper, the Chebychev spectral collocation method is applied for the thermal analysis of convective-radiative straight fins with the temperature-dependent thermal conductivity. The developed heat transfer model was used to analyse the thermal performance, establish the optimum thermal design parameters, and also, investigate the effects of thermo-geometric parameters and thermal conducti...

Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...

This paper addresses the study of the speech intelligibility enhancement. The speech model, noise sources, perceptual aspects of speech, and performance evaluation are reviewed. The intelligibility enhancement system based on spectral subtraction technique is investigated. Spectral density estimation device based on the algorithm of smoothed periodograms is analysed. Determination of the silenc...

Recemly three different modifications over the Burg method of autoregressive (AR) spectral estimation are proposed by Swingler [5], Kaveh and Lippert [6], and Scott and Nikias [7], where the linear prediction error is weighted prior to its minimization. In the present paper, we study these weighted Burg methods for pitch-synchronous analysis of short segments (duration less than one pitch perio...

Typically, to study the effects of consecutive earthquakes, it is necessary to consider definite intensity levels of the first shock. Methods commonly used to define intensity involve scaling the first shock to a specified maximum interstorey drift. In this study the structure’s predefined elastic spectral acceleration caused by the first shock is also considered for scaling. This study aims to...