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In this paper, we propose robust set-membership filtering algorithms against impulsive noise. Firstly, we introduce set-membership normalized least absolute difference algorithm (SM-NLAD). This algorithm provides robustness against impulsive noise through pricing the absolute error instead of the square. Then, in order to achieve comparable convergence performance in the impulse-free noise environments,...
The use of edge information for noise removal from digital images is of vital importance for preserving image details after filtering process. In this work, the edges in the speckled image are detected by employing a type-2 fuzzy edge detector and then the mean filter is used for removing speckle noise. Although the mean filter is effective for speckle noise removal, it also introduces undesirable...
The analysis of the system behavior under influence of the noise of the order parameter has been performed within the nonlinear model of the shear melting. Time dependencies of the order parameter has been calculated and the situation with low intensity of the order parameter noise has been investigated in detail. The distinctive feature of the obtained dependencies is a power-law density distribution...
Intrinsic to “big data” processing workloads (e.g., iterative MapReduce, Pregel, etc.) are cyclical resource utilization patterns that are highly synchronized across different resource types as well as the workers in a cluster. In Infrastructure as a Service settings, cloud providers do not exploit this characteristic to better manage VMs because they view VMs as “black boxes.” We present TideWatch,...
A method for allocation of periodic signal components, whose shape is not predetermined in advance and set in accordance with the specific type of recognized processes is being proposed. Obtainment of periodic components provides multiple confirmation accumulation of periods contents when signals receiving, thereby increasing its noise immunity. The method is presented by mathematical procedures for...
Primary aim of this work is to develop methodology for extracting useful information from the phonocardiographic signal for a computerized cardiac auscultation system and the intelligent stethoscope. The paper presents a technique based on a Non-Local Means method (NLM). When synthetic data is combined with the heart sound signal, it is found that NLM can separate the heart sound without degrading...
In recent works it has been recognized that alpha stable distributions are convenient characterizations of some noise properties in the power line. They naturally include in their formulation both background noise and impulsive components. The intended applications of this modeling approach are twofold. First, it allows to better understand the statistical properties of the noise. Second, it allows...
The fluorescent lamps or fluorescent tubes are low pressure mercury-vapor gas-discharge lamps that use fluorescence to produce visible light. These lamps inject noise into the power-line communications channel. This can have a detrimental effect on the power-line communication system. In this paper we investigate the effects when the fluorescent lamps with electronic ballasts are seen as noise sources...
Pre-processing of breast ultrasound images is a necessary pre-requisite for development of computer-aided detection (CADe) techniques for breast cancer. This requires effective suppression of speckle content prior to the application of any enhancement algorithm. This paper presents an approach to modify the diffusion coefficient of existing Anisotropic Diffusion (AD) filter. The proposed approach...
The recent advances in sparse representations of images have achieved outstanding results in terms of denoising and restoration; but removal of real and structured noise in digital video sequences remains a challenging problem. Based on this idea, the problem addressed in this paper proposes to improve the decision median filtering algorithm for denoising of video sequences corrupted with impulse...
This paper presents a novel anisotropic diffusion (AD) filter for despeckling of ultrasound images using a non-linear conductance function. Proper choice of the conductance function while applying AD filters is extremely critical. This work proposes an improved conductance function that tends to suppress speckle with due preservation of diagnostic features. The diffusion coefficient of the AD filter...
Motion estimation methods in both perspective and omnidirectional cases presume that the input images are free-noise, and when using noisy images almost all of those methods yields poor results. In this paper we will examine the behavior and the performance of the phase-based method that we introduced in a previous work, in the presence of different kinds of noise.
In this paper, a low voltage fully differential neural amplifier based on current feedback operational amplifier (CFOA) is introduced. The gains of LFP and spikes signals can be tuned using the amplifiers capacitors. The designed amplifier provides a maximum output gain up to 50 dB, a total power consumption of 4.218 nW, and an input referred noise of 3.38 μV/Hz1/2 and 5.96 μV/Hz1/2 for LFP signals...
Wireless access through a large distributed network of low-complexity infrastructure nodes empowered with cooperation and coordination capabilities, is an emerging radio architecture, candidate to deal with the mobile data capacity crunch. In the 3GPP evolutionary path, this is known as the Cloud-RAN paradigm for future radio. In such a complex network, distributed MIMO resources optimization is of...
Machine Fault Diagnosis and condition monitoring using Acoustic Emission and Vibration Signature is an active research area of much industrial importance. Pre-Processing is an important stage after data acquisition. In this paper we have presented a preprocessing scheme which includes a filter, a smoothing algorithm, a novel segmentation technique and a normalization algorithm which is less affected...
The focus of this work is the development of an efficient adaptive algorithm for source separation from a noisy image sequence with interferences when the underlying source signals are unknown. The sources to be extracted are the underlying activation signals who are collectively responsible for the intensity fluctuations of the pixels. This technique uses the concept of temporal Independent Component...
Due to massive entry of wireless services with inefficient spectrum resource utilization led to an apparent scarcity of usable radio bandwidth. Cognitive radio is well organized to utilize vacancy in the radio spectrum due to absence of primary user. Spectrum sensing i.e., detecting the presence of primary users in a licensed spectrum is the fundamental task in cognitive radio. This leads to emergence...
In this paper we proposed a new framework for obtaining the spongy and cortical bones from the MRI data. The method focuses on the accurate extraction of the edges of the target tissues, which is the main drawback of the previous works. This framework first limits the searching area for the bone voxels from the whole data to a small strip around the edges of the cortical and spongy bones then applies...
This work develops a new DOA tracking technique by proposing a novel semi-parametric method of sequential sparse recovery for a dynamic sparsity model. The proposed method iteratively provides a sequence of spatial spectrum estimates. The final process of estimating direction paths from the spectrum sequence is not considered. However, the simulation results show concentration of the spectrum around...
GROUSE (Grassmannian Rank-One Update Subspace Estimation) [1] is an incremental algorithm for identifying a subspace of ℝn from a sequence of vectors in this subspace, where only a subset of components of each vector is revealed at each iteration. Recent analysis [2] has shown that GROUSE converges locally at an expected linear rate, under certain assumptions. GROUSE has a similar flavor to the incremental...
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