Current Trends in Signal Processing
Volume 5, Issue 3 (2015)
Published
Table of contents
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EEG Data Compression Using Communication Techniques for PMS
Abstract: Compression of EEG (Biological) is an important issue as concern to the telemedicine area. Many of researchers have carried out the work in this domain but still the area provides an ample space for research. This research aims to develop algorithm for the compression of EEG data. In this research the constructive communication modules are used to compress the EEG data. Thirty two channels are used to load the real …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 1–6 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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A Survey on Heterogenous Network
Abstract: A heterogeneous system is a system uniting PCs and different devices with distinctive working frameworks or conventions. Heterogenous network provides proper connectivity and continuous data transfer between different network technologies. With the increased use of mobile wireless network, a lot of problems are being faced in combining more wireless networks. In this paper we present a survey on hetrogenous network discussing issues related to heterogenous seamless mobile connectivity and availability …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 23–28 Read article
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Hand Grasp Recognition and Classification of Prehensile Surface EMG Signals
Abstract: Myoelectric control signals are commonly used as a convenient solution of prosthesis control for the disabled persons or amputees. Surface EMG signal being noninvasive is easy to acquire and is commonly used in prosthetic devices. Myoelectric control system is the fundamental component of modern prostheses, which uses the myoelectric signals from an individual’s muscles to control the prosthesis movements. In this paper data collected from several subjects using four surface …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 29–38 Read article
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Palm Print Recognition Based on PCA and Its Variants
Abstract: In present era, automatic personal recognition is a serious problem that needs to be overcome properly. Palm print recognition is one of the most reliable and successful biometric solutions due to its numerous advantages such as stable line features, low resolution imaging, low cost capturing device, being non-intrusive and user friendly. In this article, performance comparisons of palm print recognition techniques based on subspace approaches (PCA, 2DPCA, 2D²PCA) have been …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 7–14 Read article