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This paper deals with the reduced-order H∞ filtering problem for nonlinear continuous-time systems with sampled measurements. Using the concepts of dissipativity and differential game, sufficient conditions are derived for the existence of filters that satisfy a specified H∞ performance bound. These conditions are expressed in terms of the solution of a differential Hamilton-Jacobi inequality with...
In this paper, two pairs of dual morphological filters, the composite morphological filters (CMFs) are introduced. They have distinctive properties comparing with other similar morphological operations. CMFs are used to construct a directional morphological filter in impulsive noise removal procedures. It is proven that it has better noise-removal and detail-preserving abilities than classical morphological...
This paper investigates the use of secondary sensor measurements to augment feature compensation methods for robust speech recognition. Secondary sensors measure secondary phenomena associated with human speech production. While such measurements do not provide sufficient information for speech recognition per-se, they do not degrade with the noise that corrupts the acoustic signal and can be used...
Impulse noise removal is considered one of the most burning topic in digital image processing (DIP). When an image is formed, factors like lighting (source, and intensity) and camera characteristics like the sensor response, lenses and also atmospheric condition affect the presence of the image. It hides the important fine points and information of images. In order to enhance the qualities of the...
The project introduces a Fuzzy Based Weighted Vector Median Filter (FWMF) model to detect and eliminate the salt noise, pepper noise, Gaussian Mixed Impulsive noise. The mixed noises are applied to gray scale images and colour images. Through fuzzy logic methodology, the noises are detected and eliminated. Mixed impulsive and Gaussian noise reduction from digital color images is a challenging task...
Impulse noise detection is the key issue, while removing random-valued impulse noise from digital images. In this paper, we present a new impulse detection algorithm based on combination of Luo-statistic and k-means clustering. This paper also presents a novel approach to measure impulse noise density level in the corrupted image, knowledge of which allows us to select suitable parameters for the...
Edge information is the most vital high frequency information of an image, filtering an image to reduce noise while keeping the image details preserved is one of the most important issues. In this paper we proposed a method in which double median filtering stage is used to preserve edge details, which enhance the quality of image. The algorithm is carried out in two stages; first stage is detection...
In this paper, we propose a new method of minimum-variance functional filtering for a class of sampled-data systems. The proposed method is based on multirate sampling of the plant output. This work includes the formulation of multirate output model for continuous-time system having noise in plant dynamics and measurement and necessary and sufficient conditions are given for existence of functional...
Pitch extraction is important for communication robots, since pitch may carry information about intention, attitude or emotion expression from the user's speech. However, current pitch extraction methods are not robust enough in real noisy environments. In the present work, we propose pitch extraction methods by combining microphone array and auditory scene analysis technologies, and evaluate pitch...
Contrary to uniform local averaging, we propose non-linear approach for precise sparse depth map extraction. Noisy focus measurements are replaced with estimated values. This helps to compute accurate 3D shape while preserving edges of objects.
A novel technique is presented to detect and remove the salt and pepper noise in digital color images. The algorithm is proposed for detection of noisy pixel, edges and noise free pixels by utilizing basic property of salt and pepper noise. Each pixel is treated according whether it is edge pixel, noisy pixel or pixel from smooth region etc. Noisy pixel are replaced with median of neighborhood of...
Power-line network is not specifically designed for high frequency signal transmission. Some tests and documents verify that power-line channel takes on many adverse characteristics that are not conducive to high frequency signal transmission, and noise characteristics are important parameters to describe the nature of power-line communication channel interference. The paper studied noise classification...
A closed-form solution for scanning emitter localization has been available for the case of three sensors. For more than three sensors the traditional approach is to employ the maximum likelihood estimator, which is a nonlinear estimator with no closed-form solution. This paper develops a new closed-form pseudolinear estimator for passive localization of scanning emitters for four or more sensors...
This paper discusses a detection technique for impulsive noise in power line cables. Essentially, a reduced set of features (signature vector), which is selectively extracted from the power line signal feeds a detection technique. The features are higher-order statistics and the Fisher's discriminant ratio is the selection technique. The designed detectors are a multilayer perceptron neural network...
There is an ever increasing need for storing data in small form factors driven by the ubiquitous use and increased demands of consumer electronics. A new data storage approach that achieves a few Tb per in2 areal densities, utilizes a cantilever probe with a sharp tip that can be used to deform and assess the topography of a polymer medium. The information may be encoded by means of topographic profiles...
The progressive switching median (PSM) filter implements a noise detection algorithm before filtering. Both noise detection and filtering procedures are progressively repeated for a number of iterations. As an attempt to improve the PSM filter, an improved progressive switching median filter (IPSM) is proposed to enhance progressive median filter in term of its noise filtering ability. The proposed...
The Direct Weight Optimization (DWO) approach is a nonparametric estimation approach that has appeared in recent years within the field of nonlinear system identification. In previous work, all function classes for which DWO has been studied have included only continuous functions. However, in many applications it would be desirable also to be able to handle discontinuous functions. Inspired by the...
In this paper we develop a voice activity detection algorithm based on entropy estimation of magnitude spectrum. In addition, the likelihood ratio test (LRT) is employed to determine a threshold to separate of speech segments from non-speech segments. The distributions of entropy magnitude of clean speech and noise signal are assumed to be Gaussian. The application of the concept of entropy to the...
This paper introduces a new speech enhancement method, which combines adaptive center weighted average (ACWA) filter with empirical mode decomposition (EMD). Both ACWA and EMD operate in the time domain. The ACWA filter is advantageous as it operates adaptively in the time domain and does not require the stationarity and the whiteness of the signals. Thanks to the data driven decomposition of the...
Recently, advanced video processing systems have been developed for numerous applications, such as surveillance, tracking, monitoring, object and event detection. The large size of this data and the wide range of detectable events or objects render the automation of various video processing procedures necessary. The proposed system first finds the pixels where activities occur by processing the higher...
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