The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Adding prior information to open-loop subspace identification has been proven to be effective in obtaining state-space models with improved accuracy. The purpose of this study is to improve the accuracy of close-loop subspace identification by using prior information. The proposed method uses a parsimonious model formulation to remove the correlation between future input and past innovation, which...
The recent hot research topic of a massive multiple-output (MIMO) has been primarily studied based on the assumption that channel vectors are asymptotically pairwise orthogonal. This condition is not exactly satisfied in practice. Correlation will occur among antenna elements at the base- station antenna array in a dense scattering environment, or in a LOS propagation condition. In this paper, by...
Transformations are a common technique used to linearize data so that simple linear regression can be applied. A common transformation used is the logarithmic transformation. This transforms data that follows an exponential pattern so that a straight line can be fit to it. In this study human chorionic gonadotropin (hCG) levels in women with gestational trophoblastic disease (GTD), which are known...
Whole-slide images (WSIs) are high-resolution, 2D, color digital images that are becoming valuable tools for pathologists in clinical, research and formative scenarios. However, their massive size is hindering their widespread adoption. Even though lossy compression can effectively reduce compressed file sizes without affecting subsequent diagnoses, no lossy coding scheme tailored for WSIs has been...
There are many heuristic search algorithms for finding optimal Boolean functions with good cryptographic characteristics. In this paper we deploy simulated annealing (motivated by the cooling processes of molten metals) for finding an optimizing Boolean function which is cryptographically relevant and then find all the characteristics. Here, the nonlinearity of optimizing Balanced boolean function...
It became very easy today to capture and create digital photographs. It's no more a costlier affair, as most of the handheld electronic gadgets such as mobile phones are equipped with digital cameras. Today, there are ample PC and mobile apps available which are developed to manipulate captured photographs. One can easily take a picture, manipulate it with the installed app and make it viral through...
Compressed Sensing (CS) is an innovative approach allowing to represent signals through a small number of their projections. In this paper, we address the application of CS to the scenario of 2D readings recovery from a Wireless Sensors Network (WSN) with excellent accuracy, while collecting only a small fraction of them at a data gathering point. CS requires a suitable transformation that makes the...
This paper describes a simple fast forgery detection scheme. The proposed technique makes use of the fact that, the copied or tampered parts of the image, will not contain the correct camera fingerprint, of the regions it copied to. The technique is based on locating dissimilar blocks between the forged image fingerprint and its corresponding mother camera fingerprint. Dissimilarity is measured through...
This paper presents an image mosaicing technique based on an improved discrete cosine transform (DCT)-based phase correlation (PC). The improved DCT-based PC method is an extension of DCT-based PC with added blur invariance property. Though fast Fourier transform (FFT)-based methods are efficient for mosaicing of images, they often fail to achieve good quality mosaics when there is illumination variation,...
In this work, we present the integration of the photon counting technique (PhCT) with an encryption system in the Gyrator domain (GD) for secure image authentication. The encryption system uses two random phase masks (RPMs), one RPM is defined at the spatial domain and the other RPM is defined at the GD, in order to encode the image to encrypt (original image) into random noise. The rotation angle...
Transform skip modes (TSM) have previously been proposed for HEVC, where a transform on the prediction residual is skipped in one or both directions. TSM can improve coding efficiency when the prediction errors have minimal correlation in one or both directions. In this paper, improvements are proposed to the 1D transform skip mode design. Specifically, a unified dynamic range control method is proposed...
In this paper we introduce and check a new description of polarimetric parameters that are asymptotically invariant to the group of all monotonous transformations of input signals. In particular, this can give a possibility to estimate pure correlation between polarimetric signals independently on statistical characteristics of initial data. This copula-based approach is applied to signal processing...
This paper presents a fuzzy fusion technique for multimodal medical image fusion using type-2 fuzzy set and near set. For each pixel of both source images, pixel-wise fuzzification based on histogram level is done. Then, construct type-2 fuzzy membership grade from both fuzzified images to quantify the uncertainty of shape of membership function. Later, fuzzy entropy, mutual information and correlation...
Acoustic radar has the advantages of low cost, high resolution, and the simplicity for sampling and storage. Recent years, it has been widely studied and applied in fields such as target detection, recognition and imaging. However, the sound signal is usually wideband. The wideband correlation function is often used in active and passive detections. To address the problems of the errors and computational...
In this paper, we have presented a novel double color image encryption/decryption technique with RGB pixel shuffling, which not only provides high security to both images but also enhances robustness in the cryptosystem against cross talk disturbances. A modification, in generating a complex image using both the color images, has been proposed for successful decoding in the gyrator (GT) domain which...
A new method to sparse eigen subspaces by using the pdf-optimized zero-zone quantizers is proposed. It is called sparse Karhunen-Loeve Transform (SKLT). The performance of the proposed method is presented for sparse representation of eigenportfolios generated from empirical correlation matrix of stock returns in NASDAQ-100 index. Performance results show that the proposed SKLT outperforms the popular...
This paper proposes a novel technique for segmenting the ground plane and at the same time estimating the occupancy probability of each point in a scene. Using a stereo camera rig, our system first calculates a disparity map and transforms it to a v-disparity map, which is then filtered and processed to generate a corresponding probability field. The probability field generated is then used for precise...
The work described herein discusses the application of generalized cross-correlation method to time delay estimation of infrasound signal. At present, the basic cross-correlation technique is mainly used to the time delay estimation of infrasound signal. However, the estimation accuracy based on this method is not high. In order to improve the accuracy, the generalized cross-correlation method is...
In this paper we investigate the use of fuzzy rule-based classifiers for multi-label classification. This classification task deals with problems where more than one label could be assigned simultaneously to a given instance. We concentrate on problem transformation methods, which use different strategies to transform a multi-label problem into a different single-label classification problems. This...
This paper presents a new method for instantaneous pitch frequency determination from speech signals. The proposed method is based on the variational mode decomposition (VMD) and the Hilbert transform. The VMD is applied in iterative way with specific input parameters in order to determine the fundamental frequency component from the speech signals. The fundamental frequency component has been used...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.