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This work introduces a new procedure to highlight helitron structures in the C. elegans DNA sequences. In this sense, the DNA strings are converted to numerical representations either in one or two dimensions. As a one dimensional coding, we choose the Frequency Chaos Game Signal (FCGS) which encodes the DNA based on the Chaos Game theory. Afterwards, a time–frequency representation – generated by...
This paper introduces a new method of heartbeat classification based on the support vector machine classifier using morphological descriptors and High Order Statistic using MIT/BIH Arrhythmia database. Using the morphological descriptors and polynomial kernel, we have obtained an average sensitivity equal to 89,92% and an average specificity about 82,45%, and in the case of Gaussian kernel, we have...
In a sounds recognition system, the most encountered problem is the background noise that can be captured with the sounds to be identified. This paper describes work that has been performed to address this problem. First, the robustness to the environmental noise is investigated for specific kinds of acoustic representation. The representations considered are RASTA-PLP, J-RASTA and wavelets-based...
A Fourier transform technique has been used to enhance the genome periodicities when analyzing the distributions of independent nucleotides and dinucleotides. These periodicities are varying from 2 to 500 bp. In this paper we focus on the 3 and 10.5 periodicities. The 3-base periodicity is characteristic for the protein-coding sequences only. The source of the approximately 10.5-base sequence period...
This paper proposes to apply optimized one-class support vector machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. First, since SVM-based classifier with gaussian RBF kernel is sensitive to the kernel width, the width will be scaled in a distribution-dependent way permitting to avoid under-fitting and over-fitting problems. Moreover, an advanced...
The system's analysis concepts based on signal processing methods are considered as very important tools in the genomic field's exploration. Spectral analysis of DNA sequences reveals genome's specific periodicities. Studying one organism's genome requires three steps. First, the DNA coding method: the DNA's string data are transformed into numerical signal. Second periodicities are detected by spectral...
This paper introduces a new method for R waves locations using the multiscale wavelet analysis. That is based on Mallatpsilas and Hwangpsilas approach for singularity detection via local maxima of the wavelet coefficients signals. Using a first derivative Gaussian function as prototype wavelet, we apply the point-wise product of the wavelet coefficients (PWC) over some successive scales, in order...
Summary form only given. This work forms part of a larger investigation into the integration of sound surveillance in a monitoring application. However, mismatches between training and testing environment severely degrade performance. Thus, in order to enhance the system robustness, we explored two issues: the training mode and the model adaptation. First, the originality of our system resides in...
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