To mitigate the performance limitations caused by the constant spectral order β in the traditional spectral subtraction methods, we previously presented an adaptive β-order generalized spectral subtraction (GSS) in which the spectral order β is updated in a heuristic way [10]. In this paper, we propose a psychoacoustically-motivated adaptive β-order GSS, by considering that different frequency ...

Landmine problem is enormous and worldwide. Impulse ground penetrating radar (ImGPR) is one of the technologies that have been extensively researched as a means of improving landmine detection efficiency. We propose two methods to detect buried landmines. Both methods are based on background subtraction techniques to detect buried plastic landmines. The first method uses adaptive background est...

In this paper we present an enhanced noise reduction method for robust speech recognition using Adaptive Gain Equalizer with Non linear Spectral Subtraction. In Adaptive Gain Equalizer method (AGE), the input signal is divided into a number of subbands that are individually weighed in time domain, in accordance to the short time Signal-to-Noise Ratio (SNR) in each subband estimation at every ti...

Vision-based traffic surveillance has been one of the most promising fields for improvement and research. Still, many challenging problems remain unsolved, such as addressing vehicle occlusions reducing false detection. In this work, a method detection tracking is proposed. The proposed model considers background subtraction concept moving but unlike conventional approaches, here numerous algor...

this report shows the author’s work on audio restoration based on DSP tools from and outside of the course of EECS 451, such as moving average system, spectral subtraction method, and LMS adaptive filter design, in order to repair the degraded sound signals by reducing impulse interference, echo effects and background noise. These approaches are achieved on MATLAB, and have shown impressive res...