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With the ever increasing number of large scale Internet applications, inter data center (inter-DC) data transfers are becoming more and more common. Traditional inter-DC transfers suffers from both low-utilization and congestion, and traffic prediction is an important method to optimize these transfers. Inter-DC traffic is harder to predict than many other types of network traffic, because it is dominated...
This paper presents an error-resilient wavelet-based ECG processor under voltage overscaling (VOS). A novel predictor based on weighted-average bilateral estimation (WBE) is proposed and used for algorithmic noise tolerance (ANT) that compensates the VOS-incurred errors. A two-stage ANT mechanism using heterogeneous error-detection techniques is developed, which enhances the robustness of ANT. This...
Mutimodal medical image fusion has been used to derive complementary information from different modality of medical image. Fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images can improve the image content, it also can provide more information to the doctor for diagnosing. In this article, a multimodal medical image fusion method based on wavelet transform (WT) and...
To improve comprehensive performance of denoising range images, an impulsive noise (IN) denoising method with variable windows is proposed in this paper. Founded on several discriminant criteria, the principles of dropout IN detection and outlier IN detection are provided. Subsequently, a nearest non-IN neighbors searching process and an Index Distance Weighted Mean filter is combined for IN denoising...
Recently, cognitive wireless local area network over fiber (CWLANoF) is proposed as an improved architecture of the legacy infrastructure-based IEEE 802.11 WLAN Extended Service Sets (ESSs). This newly architecture combines radio over fiber (RoF) and cognitive radio technologies together in order to achieve centralized radio resource management and equal spectrum access through cooperative spectrum...
This study proposes a synchronization control of chaotic systems by using an adaptive recurrent wavelet cerebellar model articulation controller (RWCMAC). The proposed adaptive RWCMAC system contains a RWCMAC and a fuzzy compensation controller. Due to favorable capability of wavelet, the wavelet function is used as a base function of CMAC. Based on Lyapunov stability theory, the parameters of RWCMAC...
In applications of digital imaging, when a lens focuses on a subject at a certain distance, all subjects at that distance are sharply focused. However, those subjects not at the same distance are out of focus and theoretically are not sharp. In this paper, we propose one novel multifocus image fusion method to make the final images contains all subjects in focus. The proposed method is by cooperation...
This paper proposes a new approach to characterize texture image at multiresolution using the non-subsampled contourlet transform, a new geometrical multiresolution transform. The support vector machines (SVMs), which have demonstrated excellent performance in a variety of pattern recognition problems, are used as classifiers. The Classification experiments with 20 Brodatz textures indicate that the...
The aim of this work is to propose an automatic sleep stage classification technique of electroencephalogram's signals (EEG) using Hilbert-Huang transform. EEG signals are analyzed with the Hilbert-Huang transform, instantaneous frequency with the physical meaning is obtained; The energy-frequency distribution of EEG was used as features parameters for each sleep stage; Ultimately using nearest neighbor...
In this paper an efficient copyright protection watermarking algorithm is proposed. By embedding orthogonal vector into the wavelet-tree structure of the host image, we get the watermarked image. At the same time human vision system is considered to get perceptual results. We design an elaborate function for blind watermarking scheme. This function can dynamically determine the embedding position...
Automatic speaker gender identification based on the speech feature has important application in the audio processing and analysis field. In order to overcome the conventional linear parameters in the speaker feature lack of gender characteristics, in this paper, nonlinear parameters such as the fractal dimension and fractal complexity as feature space effective compensations are presented. Firstly,...
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