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Coastal geology in Barcelona City is formed by Quaternary sediments overlying Tertiary strata. The Quaternary plane is crossed by paleochannels and streams, all of them under the city structures and constructions. Boreholes demonstrate differences in the grain size distribution of the materials from the different geological structures. In this work, Ground-penetrating radar was proved as a tool to...
GPR signal is essentially a delayed, scaled and distorted version of the transmitted pulse, determined by sparse parameters such as time delays and amplitudes. The time delay indicates the detected target's depth, and the amplitude is the impedance contrast at interface or reflection coefficient. A system for sampling GPR signal at an ultra-low sampling rate based on the Finite Rate of Innovation...
Aiming at data correlation and estimation problems in particle filtering multi-targets tracking, classical particle filtering is extended into multi-targets state estimation in the given several observation process. Gibbs sampling is regarded as the methods of estimation and allocation correlation vector. Target state vector and association probability was jointly estimated without list, trim, threshold...
A signal reflected from a radar target is modified according to the impulse response function of the target. This interaction may be thought of as a linear filter acting on the incident signal. Filters are not exactly invertible, which means that there is no continuous function between the filter output and its input. Likewise, there is no invertible function between the outputs of 2 different filters...
The Probability Hypothesis Density (PHD) filter is a more tractable alternative to the Random Finite Set (RFS) based optimal multitarget Bayes recursion. In this paper, a matrix reformulation of the Gaussian Mixture PHD (GM-PHD) filter is introduced. Thus a new multisensor GM-PHD filter is constructed based on the matrix reformulation. Simulation results show it can be used in some applications when...
The study compares permutation and coarse-grained entropy approaches for the assessment of short-term complexity of the cardiovascular control from heart period (HP) variability recordings. Approaches were applied to simulations and to HP variability series recorded during complete vagal blockade obtained via administration of a high dose of atropine (AT). Differences between the estimated complexity...
To improve comprehensive performance of denoising range images, an impulsive noise (IN) denoising method with variable windows is proposed in this paper. Founded on several discriminant criteria, the principles of dropout IN detection and outlier IN detection are provided. Subsequently, a nearest non-IN neighbors searching process and an Index Distance Weighted Mean filter is combined for IN denoising...
We propose a systematic methodology to assess fingerprintimage quality indices. Our approach is able to identify specific weaknesses or strengths of quality indices with respect to certain types of quality impairments. For that purpose, we suggest to employ a tool able to simulate a wide class of acquisition conditions and qualities, applicable to any given dataset and also of potential interest in...
Feature vector extraction is measured as major step in development of underwater target recognition. To improve robustness of the performance of feature vector extraction, we proposed a novel approach for robust underwater target recognition applying the auditory cepstral coefficients (ACC) based on auditory filter and cubic-log compression instead of Mel filter and logarithmic compression in Mel-frequency...
This article gives a discussion on impulse noise, its models and how it affects communications systems. We discuss the different impulse noise models in the literature, looking at their similarities and differences in communications systems. The impulse noise models discussed are memoryless (Middleton Class A and Bernoulli-Gaussian), and with memory (Markov- Middleton and Markov-Gaussian). We then...
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...
Electrocardiogram ECG signal is usually corrupted by several artifacts and these must be removed before diagnosis. This paper therefore presents the design of various FIR filters like Kaiser, Rectangular, Hamming, Hanning, Gaussian and Bartllet window techniques and FIR Equiripple Filter. IIR filters like Butterworth, Chebychev I & II and Elliptic Filters are also explored to remove the artifacts...
A low complexity VLSI Architecture has been proposed that removes the random valued impulse noise having grey scale values from [0–255], found more while transmitting images. Guard filter plays a vital role in reconstructing the pixel's intensity values. Image compression performed here uses a special algorithm that reduces the power consumption.
A great deal of interest has been paid to the time-varying autoregressive (TVAR) parameter tracking, but few papers deal with this issue when noisy observations are available. Recently, this problem was addressed for a TVAR process disturbed by an additive zero-mean white noise, by using deterministic regression methods. In this paper, we focus our attention on the case of an additive colored measurement...
Image sharpness assessment is a very important issue in image acquisition and processing. Novel approaches in no-reference image sharpness assessment methods are based on local phase coherence (LPC), rather than edge or frequency content analysis. It has been shown that the LPC based methods are closer to human observer assessments. In this paper, we propose carefully designed complex wavelets that...
We propose an unbiased recursive-least-squares(RLS)-type algorithm for errors-in-variables system identification when the input noise is colored and correlated with the output noise. To derive the proposed algorithm, which we call unbiased RLS (URLS), we formulate an exponentially-weighted least-squares problem that yields an unbiased estimate. Then, we solve the associated normal equations utilizing...
Local enhancement methods are mostly needed for enhancing the contrast of relatively small objects in the image, or image with poor illumination. In this paper, we investigate the performance of one well-known local enhancement method, which is Block Overlapped Histogram Equalization (BOHE). In order to execute BOHE, one parameter, which is its window size, must be set. Therefore, in this paper, we...
In recent years, image quality assessment has achieved great success. Many researchers have proposed more and more image quality assessment algorithms, which are being closer to human perception. However, some proposed algorithms could perform even better by doing some transformations on image. In this paper, a new image quality assessment based on contour let transformation is proposed. And experimental...
This paper proposes effective digital watermarking scheme to hide information in binary image. The original image is not needed when retrieving the digital watermark and a key is used to protect the hidden information. In order to produce little annoying noise as possible to the binary image, this scheme uses the features of Human Visual System in binary image. Finally we give details on how to implement...
Recent breakthrough results in compressive sensing (CS) have established that many high dimensional signals can be accurately recovered from a relatively small number of non-adaptive linear observations, provided that the signals possess a sparse representation in some basis. Subsequent efforts have shown that the performance of CS can be improved by exploiting structure in the locations of the nonzero...
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