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In this work, a voice recognition approach is developed and presented. It is a based on acquiring the signal of vocal cords' vibrations of a person using a piezoelectric transducer element attached on a collar wrapped around the neck. The recognition is then based on the vocal cords vibrations' pressure of the individuals and not their normal voices. Due to the varying nature of the collected signal,...
Source apportionment is usually tackled with blind Positive/Non-negative Matrix factorization (PMF/NMF) methods. However, the obtained results may be poor due to the dependence between some rows of the second factor. We recently proposed to inform the estimation of this factor using some prior knowledge provided by chemists—some entries are set to some fixed values—and the sum-to-one property of each...
Source apportionment is a very challenging topic for which non-negative source separation is well-suited. Recently, we proposed several informed Non-negative Matrix Factorization (NMF) for which some expert knowledge was introduced. These methods were all dealing with some set values of one factor together with the row sum-to-one property by either processing each constraint alternatingly or using...
In this work, a face recognition approach for human identification is proposed. It is based on the Discrete Fourier Transform of the original spatial image and on the polar mapping of the spectrum of the latter image. While the first step eliminates the translation's effect between faces, the second step minimizes the effect of any face's rotation. The approach is evaluated by studying its performance...
Magnetic Resonance Imaging (MRI) provides important and valuable information (images) about the organs structures and soft tissues non-invasively. In this work, a reconstruction approach using partial k-space, the “Optimized Discrete Fourier Transform” (ODFT), is introduced. The developed approach decomposes the 2-D Fourier Transform (FT) into two steps of 1-D DFT. The corresponding elements along...
In this work, a new off-line optimization approach is proposed to improve the global convergence. This algorithm, called Pseudo-Output Error (POE) algorithm, is based on the introduction of a stationary filter in the parametric sensitivity functions of the Gauss-Newton algorithm. The global convergence is assured for a first order system, what ever the stationary filter of the same order. Consequently,...
In this work, an approach that incorporates the compression of images to transmit high resolution medical images is presented. It is based on a double blind CDMA technology. The proposed approach assumes that several users (medical practitioners, doctors) are transmitting images from one location to another simultaneously. The images are encoded using two-steps procedure: 1) coding the pixels (users)...
A drawback of the conventional Homodyne approach which is originated from the communication theory, is that the reconstructed image acquired by the Magnetic Resonance Imaging (MRI) modality is blurred. Thus, a new homodyne based-approach is proposed in order to improve the quality of the MRI image. Consequently, the segmentation of boundaries of a particular organ (or any structure), a crucial step...
An image registration technique based on feed forward neural network and Fourier Transform is developed and presented. In the proposed scheme, the spectrums of the acquired images are computed, the Fourier coefficients within a selected central window of each spectrum are extracted and fed as inputs to the neural network. The feed forward neural network is implemented to estimate the transformation,...
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