In this paper, we study the problem of robust speech recognition in adverse environments. We focus our attention to the following two types of distortions: 1) the additive noise distortion, 2) the channel mismatch distortion. The maximum likelihood (ML) equalization technique is used to compensate for these distortions. Performance of the ML technique is compared with the following channel equa...

Input images that are captured by remote sensing devices are sometimes not really in good brightness and con-trast. Therefore, a process known as a digital image contrast enhancement is normally required to increase the quality of these low Contrast images. Histogram Equalization (HE) has been an essential addition to the Image Enhancement world and other Enhancement techniques like Classical H...

Histogram equalization is one of the common tools for improving contrast in digital photography, remote sensing, medical imaging, and scientific visualization. It is a process for recovering lost contrast in an image by remapping the brightness values in such a way that equalizes or more evenly distributes its brightness values. However, Histogram Equalization may significantly change the brigh...

Most Support Vector Machine (SVM) based systems make use of conventional methods for the normalization of the features or the scores previously to the fusion stage. In this work, in addition to the conventional methods, two equalization methods, histogram equalization, which was recently introduced in multimodal systems, and Bi-Gaussian equalization, which is presented in this paper, are applie...

In this paper, we formulate the problem of blind equalization of constant modulus (CM) signals as a convex optimization problem. The convex formulation is obtained by performing an algebraic transformation on the direct formulation of the CM equalization problem. Using this transformation, the original nonconvex CM equalization formulation is turned into a convex semidefinite program (SDP) that...

The main purpose of this paper is to design a charge equalization circuit for series connected lead-acid batteries. The charger utilizes a three-level neutral point clamped (NPC) AC/DC converter with voltage balance control to charge the series connected rechargeable battery strings. This paper details the operation principles of the charge equalization circuit under different operation modes a...

chest radiography is a common diagnostic imaging test, which contains an enormous amount of information about a patient. however,its interpretation is highly challenging. the accuracy of the diagnostic process is greatly influenced by image processing algorithms;hence enhancement of the images is indispensable in order to improve visibility of the details. this paper aims at improving radiograp...

Single-carrier linear modulation techniques combined with frequency-domain equalization provide a viable alternative to multicarrier techniques for combating multipath fading in channels with large delay spread. Such modulations tolerate frequency offset and have well controlled peak to average power ratio. They have comparable complexity to orthogonal frequency division multiplexing (OFDM) sys...

Turbo equalization is an iterative equalization and decoding technique that can achieve impressive performance gains for communication systems. In this letter, we investigate the turbo equalization method for the decoding of the Davey-MacKay (DM) construction over the IDSAWGN channels, which indicates a cascaded insertion, deletion, substitution (IDS) channel and an additive white Gaussian nois...