Papers by Keyword: Wiener Filter

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Authors: An Min Ren, Lin He
Abstract: Measured data of hydrophone array could be interfered by underwater noise,so its essential to enhance the performance of suppressing interference for adaptive array processing. How to improve the performance of Double Stages Wiener Filter was discussed based on configuration principles. The influences of interference angle, array unit number and interference-to-noise ratio (INR) to suppressing interference have been analyzed through principle analysis and simulation experiments under different circumstances, including single or multiple disturb signals. Experiments show that the performance of suppressing interference depends on interference angle and INR more and array unit sum a little.
Authors: Wahiba Djerir, Tarek Boutkedjirt, Ali Badidi Bouda, A. Satour
Abstract: When measuring the ultrasound field, the signal provided by the receiving transducer is affected by its spatial properties. Particularly, the displacement normal to its surface is spatially averaged because of the receiver finite size. In this study, we show using a numerical simulation, the effectiveness of the spatial deconvolution of these effects for a rectangular transducer. For that, three methods allowing the inversion of the aperture effect are tested 1) Wiener’s method; 2) the power spectral equalization (PSE) method, and 3) the maximum a posteriori (MAP) method. The obtained results show that the three methods are able to reconstruct the ultrasound field from the spatially averaged values and the quality of the reconstruction depends strongly upon the signal to noise ratio (SNR) and the spatial frequencies of the ultrasound field investigated
Authors: Man Yan, Yong Quan Liang
Abstract: Interferogram noise filter is one of the key technologies which use synthetic aperture radar interferometry phase to extract digital elevation model. However, the interference fringes’ details are often reduced when complex interferogram is filtered, and this leads to inaccurate phase unwrapping result, for this combined filter method based on terrain factors is proposed. Filter method can be selected through weight factor associated with the terrain slope in the filter process, and Wiener filter method is implemented in flat terrain area, frequency estimated filter method is achieved in steep terrain area. Then the new filter method is applied to deal with data where the region of Quebec, Canada. This proves that the new filter algorithm proposed in this paper can effectively suppress noise and better maintain stripe details.
Authors: Ning Song, Lian Ying Ji, Yong Peng Xu
Abstract: Human respiratory signal provides important information in modern medical care. In daily life, respiratory signal is usually captured under different motion states with the help of Electrical impedance pneumography (EIP). Consequently, the captured signal is easily corrupted by electronic/electromagnetic noise, internal mechanical vibration of the lung and motion artifacts. Because respiratory signal and interferences co-exist in an overlapping spectra manner, classical filtering method cannot work here. In this paper, we present a new signal processing method for eliminating the noise and interferences included in EIP signal, by separating the correlated motion artifacts from the raw EIP and 3-axis Acceleration (ACC) signals, restoring the rough respiration signal from the mixed signal, and further processing using wavelet analysis approach. Results are compared to traditional denosing algorithms by wiener filter, which indicates that the new signal processing method we presented is suitable for EIP signals under the motion states.
Authors: Jian Yang Zhou, Yin Tao Yang, Yi Liang Wu
Abstract: This paper first introduces the history and research status of motion-blurred image restoration, and then establishes a rotating image degradation model. we present a fast algorithm for real-time hardware restoration of rotating motion blurred images, the algorithm is simulated and experimental platform is built for the actual verification. Through comparison and analysis of the recovery results, we verify the accuracy of the algorithm, and it shows that this rotational motion blurred image restoration algorithm can receive satisfactory results.
Authors: Feng Qing Qin, Li Hong Zhu, Li Lan Cao, Wa Nan Yang
Abstract: A framework is proposed to reconstruct a super resolution image from a single low resolution image with Gaussian noise. The degrading processes of Gaussian blur, down-sampling, and Gaussian noise are all considered. For the low resolution image, the Gaussian noise is reduced through Wiener filtering algorithm. For the de-noised low resolution image, iterative back projection algorithm is used to reconstruct a super resolution image. Experiments show that de-noising plays an important part in single-image super resolution reconstruction. In the super reconstructed image, the Gaussian noise is reduced effectively and the peak signal to noise ratio (PSNR) is increased.
Authors: Ying Jie Xu, Ming Yu Gao, Zhi Wei He
Abstract: We have designed a photoelectric yarn signal acquisition system, which is based on the STM32 processor, having a sample rate up to 270kHz, and uploading data collection through synchronous parallel communication mode; Owing to the large noise of yarn signal and the unobviousness of yarn defect, we respectively adopting wiener filter and mean filter to filter this signal; The simulation result of matlab has manifested that both the wiener filter and mean filter can effectively decrease the noise level of the yarn signal and make the nep defects easier to identify, and that the wiener filter applies to application where the yarn speed is higher , while the mean filter is appropriate to the lower speed spinner.
Authors: Yuan Mei Wang, Tao Li
Abstract: When image with Gaussian white noise being de-noised by wavelet threshold, there are some problems such as blurring and the loss of details of edges of image. To solve above problems, image de-noising method based on wavelet transform and Wiener filtering is proposed in the paper, first using wavelet threshold to de-noise, and then using Wiener filter to smooth the image so as to get high image quality. Experimental results show that this algorithm on de-noising proposed not only can effectively suppress Gaussian white noise, but also can well preserve the details of image edges
Authors: Di Fan, Chang Zhi Lv, Mao Yong Cao
Abstract: Sediment on the bottom of borehole forms a major part which is often responsible for reducing the bearing capacity of pile. The normal method of measuring sediment thickness by ultrasonic signal is to measure the sound time and intensity of echo signal. This paper presents a novel measurement method by estimating the ultrasonic channel. Wiener filter is applied to estimate the ultrasonic optimal channel under minimum mean square error criteria. Experiments of estimating channel based on Wiener filter have been conducted with given signals and actual ultrasonic detection echo. The influence of noise in the signal has been discussed. The results show that, during signals high SNR, the estimated channel is corresponding to the sharp changes in the actual signal and can be used to determine the sediment thickness.
Authors: Sheng Liu, Meng Jun Wang, Hui Xuan Fu
Abstract: Ship internal equipment vibration will cause the imaging system platform vibration, resulting in blurred images. Wiener Filter is often used to restore the motion blurred image. The principle of the method expects to minimize the mean square error between the restore image and original image. However, this method has some constrains, and it generates ringing effect easily. In order to get high quality restore image, eliminate the ringing effect, a new approach based on an adaptive genetic algorithm (AGA) Wiener Filter was proposed, which automatically adjusts the SNR parameter value for Wiener Filter, this method selects crossover probability and mutation probability according to the fitness values of the object function, therefore reduces the convergence time and improves the precision of simple genetic algorithm (SGA), insuring the accuracy of parameter selection, effectively reducing the ringing effect after image restoration, improve image quality of restoration.
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