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In this paper, we propose a method for estimating the Symmetric Information Rate (SIR) for Two Dimensional Magnetic Recording (TDMR) channel by using the Generalized Belief Propagation (GBP) algorithm. We consider the Voronoi model as the channel model of a TDMR system. The dominant component of noise in TDMR caused by the imperfections of the medium is called “media noise”. The nature of the media...
Images are very important factors in Digital Image Processing. There are many applications are available using images. And this images can be corrupted and noised by different problems and particles and for this image cannot be processed or could not give the desired result in many applications. And facial images should be preprocessed for face recognition, face detection etc. Image preprocessing...
In-network distributed estimation of sparse parameter vectors via diffusion LMS strategies has been studied and investigated in recent years. In all the existing works, some convex regularization approach has been used at each node of the network in order to achieve an overall network performance superior to that of the simple diffusion LMS, albeit at the cost of increased computational overhead....
An Electrocardiogram (ECG) is graphical representation of the electrical movement of human heart and used in diagnosis of various heart diseases. The primary function of ECG analysis is correct detection of QRS complex and other ECG characteristics [1]. In this review paper, researchers provide a comparative study between four popular algorithms: namely Window pair algorithm, Dynamic Plosion Index...
This contribution presents investigations on the influence of scene complexity and room acoustic disparity on the perception of different quality features using a binaural headphone system. The quality features “spatial presence” and “listener envelopment” are investigated next to “perceived externalization” and “localization” of an auditory event. The test uses three different rooms with distinct...
Recently, wireless networks are gradually applied into on-line monitoring and open-loop operational control in most industrial processes. However, it tends to design double-closed-loop controllers for dual-layer structure, including the control layer and the operational layer. This paper creatively studies wireless network based operational optimization and feedback control for a class of industrial...
Seismic data size can be very large. High ratio compression is needed to keep data manageable without losing the detail of the traces inside the data. PCA is well known compression technique for high rate lossy compression. However, to keep seismic data lossless another lossless compression is needed to make the error as small as possible. To make the error as small as possible, we need to make the...
The low cost and high efficiency of quasi-resonant flyback converters have resulted in their wide application as the main circuit topology in power-converters. Because conducted electromagnetic interference (EMI) at low frequency domain of conventional quasi-resonant (QR) flyback converters probably exceeds the EN55022 Class-B of EMI standards, this paper presents novel frequency jittering control...
The segmentation of seemingly continuous movements into segments has been theorized for many years. These segments may be considered as “primitive” movements, or building blocks of more complex movements. The existence of these fragments, or sub-movements as they are called, has been supported by a wide range of studies over the past 100 years. Evidence for the existence of discrete sub-movements...
We suggest a new criterion for automatically detecting whether a control loop has oscillative behavior or not. The criterion only uses data collected in closed loop, and is model free, i.e. no process model is needed and no experiments are required. It does not rely on frequency analysis. The criterion has been evaluated on a large set of data collected from many different loops at a paper mill. One...
A method of incorporating implementation aspects in the algorithm-level design of nonlinear filters is proposed. As a case study, the trade-off between the visual properties and the complexity of soft morphological filters is studied using training-based optimization methods. Specifically, it is shown that the use of the complexity constraints can provide the filter designer valuable information on...
The performances of adaptive array algorithms are known to degrade in scenarios with moving interfering sources. Recently, several robust approaches have been proposed to overcome this problem. Below, we compare conventional and robust algorithms using shallow sea sonar data with moving co-channel interference originated from shipping noise. This data set was recorded by a towed horizontal Uniform...
A robust technique for the coding of multiband excitation (MBE) model parameters from a non-stationary speech segment is proposed in this paper. The non-stationary speech segment which has an abrupt increase in its signal energy with respect to the time is divided into 2 quasi-stationary speech segments. A variable analysis frame size technique is proposed to analyze the lower energy portion and the...
The task of determining informative sensors and clustering the sensor measurements according to their information content is considered. To this end, the standard canonical correlation analysis (CCA) framework is equipped with norm-one and norm-two regularization terms to estimate the unknown number of field sources and identify informative groups of sensors. Coordinate descent techniques are combined...
While most contributions on speech reinforcement only consider the presence of environmental noise, late reverberation can also severely degrade the intelligibility of speech. In this paper we address the problem of speech reinforcement in noisy and reverberant environments. We use a short-time version of a recently presented approximation of the speech intelligibility index, which we optimize locally...
A common framework of identifying bird species from audio recordings involves detecting bird song segments, which will be subsequently input to a classifier. In-field recordings are contaminated with various environmental noise. For such recordings, supervised segmentation has been observed to outperform unsupervised energy-based approaches. Prior supervised segmentation work considers only pixel-level...
Signal quality assessment is an important issue as noisy channels could mean lost information and unreliable data. In the field of Electrocardiograms (ECG), this is also important as noise could affect the detection of transient cardiac conditions which occur in these noisy channels. In VPW-FRI, the common annihilator is used to decompose multichannel signals with common root locations. Using information...
Estimating and tracking the covariance matrix of high-dimensional data streams with low complexities in acquisition, storage and computation are of great interest in modern data-intensive applications. This paper develops an online covariance estimation and tracking algorithm for a recently developed covariance sketching framework that requires a single sketch per sample [1], by leveraging the low-rank...
Baseline nonlocal means denoising scheme may be improved by incorporating more adaptivity, like locally varying filtering window, smoothing constants and patch size or shape. In this paper, we presents a novel adaptive nonlocal means filtering scheme, the key idea of which is that before computing the similarity between two pixels, active matching is performed to determine optimally matched patch...
Conventional Nyquist sampling and reconstruction of square waves at a finite rate will always result in aliasing because square waves are not band limited. Based on methods for signals with finite rate of innovation (FRI), generalized Analog Thresholding (gAT-n) is able to sample square waves at a much lower rate under ideal conditions. The target application is efficient, real-time, implantable neurotechnology...
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