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背景噪声

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Wavelet filtering and averaging method are used to extract the weak VEP signal from strong background noise.

采用累加平均和小波滤波提取强噪声背景下微弱的视觉诱发电位。

The linear stability theory are used to study the growth of small noise from the background of intense laser.

通过采用线性化的方法,研究在均匀光强的背景下噪声的增长。

The anti-noise performance of the improved method is also investigated in this paper,and the variance equation of the frequency estimation error in the presence.

分析了改进方法的抗噪声性能,推导出了在高斯白噪声背景下频率估计误差的方差公式,并通过仿真计算验证了推导公式的正确性。

A region superresolution spectrum estimation method based on coventional DFT computation is presented for obtaining one dimensional range profile, which has the advantages of real-time in computation and robustness under clutter and noise background over general superresolution methods. A iterative extropolation method based on both priori knowledge provided by conventional DFT spectrum and matching filtering process of target return data is also presented for range profile processing, which has the advantages of robustness in improving range resolution, suppressing clutter and noise.

在目标一维距离成像谱估计中,提出了以常规DFT为基础的邻域超分辨谱估计方法,它与普通超分辨算法相比,具有实时性强、在杂波与噪声背景中稳健性好的优点;在外推成像处理中,提出了以常规DFT目标结构图像为约束条件并结合目标信号准匹配滤波处理的迭代外推算法,其优点是稳健性好,能适度地提高距离分辨力但保留适度的抗杂波抗噪声能力。

Vidicon collect simulate image in period of time and send to computer or DSP chip through video collection card digitlization,use computer to gain eyewinker and process digital image processing:using image area segment and boder measure to calculate area and perimeter;using image smoothness to wipp offthe infection of yawp;using dynamic background and image suited technology to overcome the infection of ray;calculation the parameter of eyewinker(area, perimeter,round measurement, proportion characer and invariant monent),using least norm to design the linearity classify parts,using image matching technologyto classify eyewinker,and to judge whether the eyewinker is harmful to diff background,if the eyewinker satisfy the character require of harmful object ,system will auto-stsrt alarm device. If there ia not have found any eyewinker, Vidicon will collect new simulate image and make processing.

本设计是将摄像机或高频头采集到的模拟图像经过视频采集卡数字化后送入计算机或DSP芯片,利用计算机对采集到的一定时间段内的图像进行异物获取,并对异物图像进行数字图像处理:利用图像区域分割和边缘检测以便进行面积和周长的计算,利用图像平滑去除噪声的影响,利用动态背景运动检测法和图像配准技术克服光线的影响,并通过异物的各类参数(如面积、周长、圆形度、比例特征和不变矩等)的计算,采用最小范数分类法设计了线性分类器,利用图像匹配技术对异物进行分类,从而判断异物是否有害,针对于不同的背景,若异物满足有害物体的特征要求,则认为物体有害,自动启动报警装置,如果没有发现有害异物则新摄入的图像将取代前一时间段的图像再进行图像处理。

This burst waveform has benefits compared to a continuous wave emission in that the laser peak power can be very high for measuring long distances, yet the average power can be kept low for eye safety. And more, the pre-amplified optical receiver possessing temperature compensation and feedback resistance noise compensation is designed which is based on the noise spectrum density theory of silicon avalanche-photodiode.

同时根据硅雪崩光电二极管噪声谱密度理论,设计了具有温度补偿和反馈电阻噪声补偿的激光测距仪前放接收模块,详细分析了背景光,反向高压和反馈电阻对于Si-APD接收性能的影响。

How to extract clear and intact fringes from all kinds of noises, especially strongly inhomogeneous background illumination, is the key problem in preprocessing of thermal flow field tomogram.

如何从各种噪声尤其是强烈的不均匀背景光噪声中提取清晰完整的条纹是热流场层析图预处理的主要问题。

A new self-adaptive background approximating and updating algorithm based on optical flow theory is first presented in this paper.

在光流场等技术的基础上,提出了一种自适应背景逼近更新方法,以适应光线的变化以及噪声的影响;根据彩色差值模型计算当前帧图像和当前逼近背景图像的差分图像;并引入Gauss模型实现了运动目标的自适应阈值分割。

The speech inputted in computer under high noise is affected by additive noise and channel distortions at the same time.

高噪声背景下输入计算机的语音,同时受到加性噪声和通道畸变的干扰。

White noise deconvolution or input white noise estimation problem has important application background in oil seismic exploration.

白噪声反卷积或输入白噪声估计问题在石油地震勘探中有重要的应用背景。

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