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消除噪声

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The principles of suppressing random noises with K-L transformation in wavelet conversion domain are that 1 wavelet decomposition is carried out on seismic signals to form wavelet packet sections in time sharing and frequency division, 2 K-L transformation is utilized to remove noises on sections, and 3 the de-noise wavelet packet sections are reconstituted into seismic sections to remove random noises.

介绍了小波变换域K-L变换压制随机噪声的基本原理,即先将地震信号进行小波分解形成分时分频的小波包剖面,然后用K-L,变换对小波包剖面进行去噪,再将去噪后的小波包剖面重构回地震剖面,从而达到消除随机噪声的目的。

The two methods are presented for non-stationary leakage signals based on original feature gradate. One is a combination of the peak-peak and grads, the other is mean energy method, with the methods eliminate influence of noise and the stress concentration identification is improved. Based on the relativity for wavelet coefficient square, the signal singularity detection theory of wavelet transform was employed to determine metal magnetic memory. Experiment shows that the method is valid for leakage signal.

针对含有噪声非平稳性的漏磁信号,在原有信号特征量梯度的基础上,给出了新的时域空间梯度和峰-峰值组合特征量,以及能量峰值处理方法,有效消除了随机噪声对磁记忆信号的影响,提高了应力集中区的识别率;从磁记忆信号的奇异性检测角度出发,通过多尺度小波系数的平方相关一致性来确定真正的应力集中区;实验验证了所提方法的有效性。

The filter consists of a fuzzy impulse noise detector, impulse noise canceller and fuzzy jointer.

该滤波器由模糊脉冲噪声检测器、噪声消除器与模糊结合器构成。

As one part of the project, the dissertation is developed with thelocalization problem in mobile robot navigation. Combined with "MobileRobot 1 of Central South university (MORCS-1)", a mobile robot designed byus that equipped with a 2D laser measurement system to sense the environmentand the proprioceptive sensors such as the odometry, gyroscope to calculate itsdead reckoning, the approach about the four kind uncertainty factors of mobilerobot localization is studied. These researches include that the error analysisand calibration of position sensors is implemented to reduce the measurementnoise, the 3D kinematic model of mobile robot is built to gain the accuratepose in complex terrain, some work on the automatic detection of static ordynamic obstacles based on laser scanner is investigated to eliminate thedynamic influence of the environment and to realize the reliably absoluteposition, and lastly a robust algorithm is presented to involve the incrementalenvironment mapping and self-localization of mobile robot with unknown dataassociation and to improve the self-localization performance of mobile robotunder unknown environment.

作为该项目研究的一部分,本论文以移动机器人导航中的定位问题为研究内容,利用自行研制的装配有二维激光雷达环境感知系统,并通过里程计、陀螺仪等内部传感器来实现航迹推测的移动机器人"中南移动1号MORCS-1",重点围绕影响移动机器人系统定位的四类不确定性处理展开研究:通过移动机器人定位传感器的误差分析及校准,旨在消除传感器噪声所带来的测量误差;通过建立移动机器人的三维运动学模型进行航迹推测,以期实现复杂地形下精确的移动机器人本体姿态感受;通过基于激光雷达的动静态障碍的自主检测等相关研究,尽量消除环境的不确定因素影响进而实现可靠的移动机器人绝对定位;通过以上研究,针对未知数据关联下移动机器人增量式环境建图与自定位的研究提出一种鲁棒的滤波算法,改善未知环境中移动机器人自定位的性能。

Therefore, the ultra-short beam current pulse of 2ns is able to be perfectly reconstructed. Through data processing, singular points, part of high-frequency noise and background noise are eliminated.

通过后期的信号处理,剔除了采样数据中的奇异点、部分高频噪声和本底噪声,消除了由于触发和被测信号不同步的客观条件造成的波形晃动。

Third, the median of minimum uncorrupted pixel set is used to restore noise pixel, in order to eliminate its neighborhood noise impact.

采用最小无污染点集合的中值恢复噪声点,消除了其邻域噪声点的影响。

It makes orthogonal processing between the weight vector and the noise subspace to mitigate the noise in the weight vector, and exploits the information contained in the pseudoautocorrelation of the observables.

所提算法将权向量和噪声子空间正交,消除了权向量中的噪声分量,并且利用了伪自相关矩阵的信息,从而提高了系统的性能。

The experiments indicated that this method could not only eliminate white noise and specking noise effectively and also reserve details on image ,its filtering effect is better than median filtering and wavelet soft thresholding method .

本文提出一种在小波域进行高斯函数滤波的去噪方法,此方法是在小波域内对高频子带分别进行高斯函数滤波,达到消噪的目的,实验表明该算法不仅能够消除高斯噪声和椒盐噪声,而且能够较好地保留影像的细节,其滤波效果优于中值滤波和小波软阈值滤波方法。

To suppress the noise which caused by the fuzzy character of XLPE sample, the size of the photodetector was determined based on the analysis of the light intensity distribution in the spatial frequency plane when the laser beam passing through the sample was collected by lens. A series of detectors were designed to eliminate the time response decreasing effect caused by the increasing of the detector size. The developed laser system could resolve defects of 40 um diameter in XLPE tape with the 120um diameter and 400Hz scanning laser beam. after above results was used.

为了消除由于XLPE材料光弥散效应引起的信号噪声对信号幅度测量的影响和提高测试速度,研制了阵列组合式光电探测器,理论分析和实验验证都证明了该探测器有较好的频响特性和较低的噪声水平,应用这两项成果组成的信号系统及微机数据采集电路可在400Hz扫描频率下,扫描宽度所限制的120μm光束直径下获得40μm的测量分辨率。

Eliminating aliasing noise algorithm used in push broom CCD image gathering system is derived and optimized.

本文推导并优化了CCD图像捕捉系统中消欠采样噪声算法,提出新的CCD推扫和采样数据处理方法,在CCD只能有推扫方向位移的遥感成像应用条件下,消除了图像中的欠采样噪声。

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