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Data provided by synthetic aperture radar (SAR) of Sentinel satellite can be useful for many applications. However, as for any SAR image, speckle noise is present in acquired images. Speckle properties are important for different operations of SAR image processing as filtering, edge detection, segmentation, classification. Thus, we first carry out preliminary analysis of speckle statistics and show...
The long-distance pipeline leakage signal is disturbed by the outside world and the signal-to-noise ratio is low. It needs to deal with the leaking signal to improve the detection precision of pipeline leakage. In this paper, the advantages and disadvantages of several common denoising methods are analyzed. Emphasis is placed on the analysis of empirical mode decomposition (EMD). In order to solve...
The results of noise-resistant speech signal processing, with the use of linear adaptive filters. To enhance the filtration efficiency, the filtration is proposed to use a cascade signal. This approach improves the noise resistance of the signal. A comparative analysis of the performance of the developed algorithm with known methods of filtration. The effectiveness of the proposed filter is demonstrated...
In this paper, we analyze properties of the noise in the time-frequency representations. We show that time-frequency representations can be improved by denoising. However, the task and conditions in which noise removal should be performed are not typical for filter design. We demonstrate that leaked noise has specific statistics and spatial correlation characteristics. Some opportunities of denoising...
This paper presents a FPGA (Field Programmable Gate Array)-based remotely sensed imagery denoising method, named FPGA-based median filtering. The proposed method is capable of processing large volume data since it takes full advantages of FPGA hardware and abundant logic units. This paper first overviews the traditional median filtering algorithm, and then highlights the FPGA-based filtering, including...
Information fetal development in the womb can be seen through a scanning process with ultrasonography technology. The resulting image of the process of two-dimensional ultrasonography has not been able to provide complete information. This paper describes several necessary processes to make the image of the ultrasonography can be identified precisely and accurately to provide information needed by...
The problem of detrending the baseline noise on ECG signals particularly Normal Sinusal type is presented in this paper. A real time FPGA-based system is implemented using Wavelet filtering. For the filter design the Daubechies family is used and the implementation uses 4th order and 6 levels of decomposition. The filtered signals obtained detrending various ECG signals are compared with ideal values...
Mean-squared-error (MSE) lower bounds are widely used for performance analysis in stochastic filtering problems. In many problems of this type, the nature of part of the unknown state parameters is circular or periodic. In this case, we are interested in the modulo-T estimation errors and not in the plain error values. Thus, the MSE risk and conventional MSE bounds are inappropriate for periodic stochastic...
Image quality enhancement is a crucial requirement in many applications of digital image and video processing. Removing artifacts which are suffered from image compression will lose simultaneously image texture components. This paper combines Beltrami method and the window derivative to construct the texture map in an attempt to preserve image details during filtering artifacts. Texture map enhancement...
Developing a precise understanding of the dynamic behavior of time series is crucial for the success of forecasting techniques. We introduce a novel communication-theoretic framework for modeling and forecasting time series. In particular, the observed time series is modeled as the output of a noisy communication system with the input as the future values of time series. We use a data-driven probabilistic...
This paper contributes to establish Individual-Phase Decoupled P-Q Control as a methodology for operating VSCs for both symmetrical and asymmetrical conditions. This paper extends the scope of the Individual-Phase Control of a D-STATCOM (voltage source converters) by showing that it can implement active filtering under asymmetrical operating conditions. This is accomplished by a combination of: (i)...
This paper presents a people counting system as an application of a people counting method. The method uses depth and vision data captured by a low-cost Kinect sensor. The sensor is placed perpendicular to the ceiling. The perception of the people is achieved by using water filling method. A new approach called as people tracking increases the performance of the people counting system. Some real applications...
We present a first experimental demonstration of classical CW laser condensation in the frequency (mode) domain. It also sheds light on the general question of photon-BEC (Bose-Einstein condensation) in laser cavities.
Increasing the voltage in aircraft applications may induce reliability problems associated to the occurrence of partial discharges (PD) in systems. Moreover, the specificities of both the environmental conditions (temperature, pressure, relative humidity …) and of the harsh electrical conditions (high voltage, high frequency, high dV/dt …) contribute to the risk of partial discharges. This paper describes...
In order to obtain wood acoustic emission signal waveform. A multi channel acoustic emission signal acquisition system based on NI high-speed data acquisition equipment was constructed. At the same time, a signal wavelet extraction and processing platform based on Lab VIEW software was designed, which can be used to collect, separate, extract the acoustic emission signal, spectral analysis and other...
In order to achieve vial bottle mouth defect detection, this paper proposes a vial bottle mouth defect detection scheme based on machine vision. The scheme is mainly using machine vision software HALCON to study. Firstly, the noise in the bottle mouth image is removed by filtering. Secondly, separating target and background by threshold segmentation. Then, extracting the edges through the edge detection,...
Block Compressed Sensed (BCS) images reconstructed by the Smoothed Projected Landweber (SPL) equations are severely degraded in visual quality. This work focuses on removal of the noise present in the BCS - SPL reconstructed image. For noise removal the nature of the noise is studied first. A suitable frequency domain filter to mitigate this noise is proposed in this work. Differential Pulse Coded...
In this paper a time-domain iterative filtering technique is investigated to remove the need for iterative process and obtain a cross-correlation response close to an ideal thumbtack peak response with minimal sidelobes. Simulation results are reported for Gaussian random noise cases as well as for a case utilizing Barker code of length 13.
Median filtering forensics and its anti-forensic attack have received considerable attention since median filtering can be used for both image enhancement and anti-forensic purposes. A median filtering anti-forensic attack method by adding uniformly distributed noise was proposed in an image pixel domain. However, we observe that this attack method leaves visible traces in the histogram of its median...
Correntropy, a novel localized similarity measure defined in kernel space, has been successfully used as a cost function in adaptive system training. The adaptive algorithms under the maximum correntropy criterion (MCC) have been shown to be robust to impulsive non-Gaussian noises. However, they may converge slowly especially at a region far from the optimal solution. In this paper, we propose a new...
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