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This paper analyses the communication performance for visible light communication (VLC) with Manchester encoded amplitude modulation. In particular, it considers the ripple generated by the LED driver as an important noise contribution for VLC. The ripple depends on the oscillation frequency of the converter which typically is chosen to satisfy other performance criteria such as power conversion efficiency...
In a cognitive radio (CR) scenario, we study the joint problem of spectrum sensing and jamming detection. Modelling the scenario as a multiple hypothesis testing problem, we analyse the probability of detection of the optimal detector in the sense of Neyman-Pearson theorem. We derive one exact form in terms of a series and a closed-form version. Moreover, we evaluate the asymptotic probability of...
Indoor positioning system is a key component for developing various location based services such as indoor navigation in large complex buildings (e.g., commercial center and hospital). Meanwhile, it is challenging to design a cost effective solution which is able to provide high accuracy. A new method, namely Two-Step Movement (2SM), was proposed in [1] to demonstrate how to build a positioning system...
Medical imaging suffers from image noise. To remove this noise spatial domain and transform domain techniques are used. But spatial domain techniques have limitation of edge blurring w.r.t transform based techniques. Therefore in this paper we have proposed a transform based denoising technique. We have used Dual tree DWT and Rotated version of Dual Tree DWT jointly to improve our denoising results...
Horizontal spectrum sharing occurs when multiple users share a given band of frequencies with no central control or coordination, and all users compete for access to the available spectrum. Depending on the actual approach used to allocate transmit power over available channels, mutual interference may affect user performance. Three types of horizontal spectrum sharing scenarios will be outlined in...
The SONIC (Suppression Of underwater Noise Induced by Cavitation) and AQUO (Achieve QUieter Oceans by shipping noise footprint reduction) projects were awarded within the European Seventh Framework Program to develop tools to investigate and mitigate the effects of underwater sound generated by shipping activities on marine life. Model generated sound maps were identified by the European Commission...
The concept of cost function (CF) in the context of image filtering is put under investigation in this work. Optimal behaviour of the resulting filters in respect with noise attenuation and edge preservation is sought through the minimization of these functions. This behaviour can be controlled by proper adjustment of certain parameters in some cases. Function combinations are also considered. Finally,...
In this paper, we focus on solving the decentralized consensus optimization problem defined over a networked multi-agent system. All the agents shall cooperatively find a common minimizer of the overall objective while each agent holds its own local objective and can only communicate with its neighbors. Motivated by many applications in which the local objective is the sum of a differentiable part...
Due to advance research in the field of Microarray technology large amount of gene expressions are generated. These gene dataset helps in getting more insight of cells and their functioning. While capturing gene expressions noise get added in the dataset. For the accuracy of downstream analysis it is necessary to preprocess this data. This helps in accurately identifying most significant and co-expressing...
We present a novel class of adaptive algorithms for the blind separation of non-Gaussian mutually independent source signals that can be modeled as independent identically distributed (i.i.d.) discrete random processes. The signals are assumed to be transmitted through a mxp narrow-band (instantaneous linear mixture) channel. The original algorithm, called the Multi-User Kur-tosis (MUK) algorithm...
In this paper, electromagnetic radiation leakage through airflow openings found in modern personal computers and mobile electronic devices (i.e., enclosures) is experimentally studied in the low frequency regime. Three different designs of enclosure's covers are assessed through experimental work. The three airflow covers of the shielding enclosure cases comprise the use of all holes (case 1), hexagon...
Now a days mobile devices are capable of performing more operations in less amount of time. More number of GPU and CPU cores are added to the mobile devices. Due to increase in processing power various image processing algorithms are targeted at mobile devices. The users of these devices demand quality that is similar to that of a professional camera. There are definite limitations on the sensors...
Wireless capsule endoscopy (WCE) is useful to detect abnormal area in human digestive tract. However, many WCE images have low quality such as rather dark and noisy. Pre-processing is an important step in Computer Aided Detection (CAD) system to enhance the quality of WCE images in order to detect the abnormalities easier. To further enhance the image quality, anisotropic diffusion with Hessian matrix...
In this paper comparative analysis of digital image stabilization (DIS) is proposed. For comparison purpose Basic Empirical Mode Decomposition (EMD), Improved EMD, Ensemble Empirical Mode Decomposition (EEMD) and Complete Ensemble Empirical Mode Decomposition (CEEMD) methods are considered. Method used for digital image stabilization is of fully data driven approach. With the comparative analysis...
Digital watermarking is a valid solution to protect copyright of owners. But there is still a difficult problem of copyright disputes as the IBM attack or the interpretation attack when multiple watermarks of multiple authors appear in the same digital media. We provide a new feasible solution, in which a multiple watermarking scheme using complete complementary code based on the spread spectrum is...
In this paper, we proposed a biased support vector machine (Biased-SVM) with self-constructed Universum (termed as U-BSVM) to solve the PU learning problem. We first treat the PU problem as an imbalanced binary classification problem by labeling all the unlabeled inputs as negative with noise, then inspired by the Universum-SVM (U-SVM), introduce the Universum data set which is constructed from the...
In recent years, many vehicle detection algorithms have been proposed. However, a lot of challenges still remain. Local Binary Pattern (LBP) is one of the most popular texture descriptors which has shown its superiority in face recognition and pedestrian detection. But the original LBP pattern is sensitive to noise especially in flat region where gray levels change rarely. To solve this problem, Local...
Photoplethysmography (PPG) promises noninvasive body metrics measurement, especially that of heart rate. However, this system is prone to noise due to motion artifacts. This paper presents a fuzzy inference system, with membership functions and rules tuned by a genetic algorithm that utilizes the principal components of the PPG data accelerometer data from the x, y, and z coordinates in order to recover...
One of the significant factor of privacy is the source of sound. It creates the level that determines the effectiveness of the other factor. To experience maximum privacy, cancelling of unwanted sound is necessary. To automate the design of sound masking, this proposal use Genetic Algorithm and Artificial Neural Network (SMUGAAN). By evolutionary method two stages are use: a) to determine the target...
This paper investigates the automatic control problem of high speed train systems under uncertain resistance conditions such as time-varying resistance, unknown aerodynamic drag and wind gust. A sliding mode observer (SMO) based control method is designed for tracking given position-velocity profile precisely. The control method is disturbance rejective that does not rely on specific resistance coefficient...
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