• 采用特征滤波器提取样本集中具有线性特征,同时生产样本点之间的相互关系;

    A feature filter is presented to extract linear points and their relations from input samples.

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  • 提出了数据分析特征滤波器假设检验融合决策等过程组成隐藏攻击方法

    In the end, the paper proposed a way of hiding attack technique composed by data analysis, characteristic filter, hypothesis inspection and syncretism decision-making.

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  • 提供特征滤波器传统滤波器相比可以有效挑选出数量分类性能更优的纹理特征

    We can achieve better classification performance by the feature filters comparable to other traditional filter schemes while resulting in considerably smaller filters.

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  • 设计数字滤波器利用传统心电分析算法标定心电波形特征

    Designing digital filter and demarcating the feature points of ECG wave with the traditional ECG analysis algorithm.

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  • 噪声源研究噪声控制十分重要掌握噪声特征是噪声控制方法比较以及滤波器设计基础

    The study of noise sources is essential in noise control, know well characterization of noise is the basis for comparison of methods and for filter design.

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  • 跟踪阶段卡尔曼滤波器结合肤色特征跟踪人脸如果跟踪失败,转入检测阶段。

    In the tracking stage, track face using kalman filter and skin-color feature, if fail to track then turn into detecting stage.

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  • 同时分析两个六角形谐振器模式特征给出了设计滤波器思路

    The mode characteristics of two hexagonal resonators are also analyzed, and the ideas of filter design are given.

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  • 本文利用大规模集成电路开关电容滤波器SCF作为语音特征提取基本组件微机控制中心,设计了时分复用动态语谱分析系统。

    This paper describes using large scale integrated circuitswitch capacitatice filter (SCF) as basic components, taking out the characteristic of speech and making up microcomputer into control centre.

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  • 详细介绍了情况下灰度形态变换形态学算子构造滤波器提取暂态突变特征等。

    The grey morphology transform, filter construction and transient saltation extraction with mathematical morphology operators in one dimension are introduced in detail.

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  • 滤波器不仅可以有效地抑制图象中的噪声而且较好地保持图象几何特征

    They can not only efficiently suppress noise in the image but also preserve the geometrical features of the image.

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  • 为了更好地去除噪声保持模型突出特征提出一种鲁棒点模型多边滤波器降噪算法,该算法充分考虑了模型表面的法向量、曲率等内蕴几何量和噪声之间的关系。

    In order to remove the noise efficiently and preserve the sharp features of the models, a denoising algorithm of a robust multilateral filter for point-sampled models is presented.

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  • 系统包括了一种改进基于图像双边滤波器网格噪声去除方法,模型的尖锐特征提取以及保持尖锐特征的网格简化拓扑优化

    The system includes an improved mesh denoising method based on bilateral filtering of images, sharp features extraction, feature-preserving mesh simplification and topological optimization.

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  • 为了提高系统图像处理速度利用卡尔曼滤波器跟踪特征进行预测,并用窗口处理技术减小图像处理区域。

    In order to improve the speed of image processing, the Kalman filter is used to predict the next place of tracked point.

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  • 本文他们的基础上提出一种实现空间平移不变一定的角度范围内转动不变的特征识别方法给出相应的滤波器设计具体公式。

    Based on their method, we suggest a new filter design for space-invariant and rotation-invariant in a given Angle range pattern recognition system.

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  • 此外器件提供可编程抽取而且如果数字FIR滤波器默认特征适合应用要求,还其进行调整

    In addition the device offers programmable decimation rates and the digital FIR filter can be adjusted if the default characteristics are not appropriate to the application.

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  • 此外器件提供可编程抽取而且如果数字FIR滤波器默认特征适合应用要求,还其进行调整

    In addition, the device offers programmable decimation rates, and the digital FIR filter can be adjusted if the default characteristics are not appropriate for the application.

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  • 本文超声检测中常遇到采样问题进行讨论比较种实现方法:基于特征值的二次采样和滤波器,并给出二次采样算法

    In the paper, we discuss the variable sampling in ultrasonic testing, and compare two techniques, i. e., the resampling arithmetic and the filter group.

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  • 利用矩阵滤波器处理实测数据协方差阵利用特征分解获得其噪声子空间。

    The noise suppression method using matrix filter bssed on matched field processing is presented.

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  • 特征矩阵研究了缺陷一维光子晶体透射性质提出新的调谐滤波器的概念。

    The transmission properties of the one-dimensional photonic crystals with defects were studied using the eigen matrix method, and a new kind of tunable optical filter is proposed in this paper.

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  • 同时,针对残差信号未知输入干扰不能完全情况,本文采用特征结构配置方法进行鲁棒故障检测滤波器设计

    Then the design of fault detection filter with robust eigenstructure assignment is investigated in a class of residual signal for the unknown input disturbance can not be completely decoupled.

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  • 多级维纳滤波器相关意义上进行截断降秩,其降性能优于基于特征空间截断的降方法

    Reduced-rank Multistage Wiener Filter (RR-MWF) has better rank reduction performance than the methods based on eigen-subspace truncation.

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  • 计算机模拟实验结果表明提取特征编码匹配滤波器同时实现对目标的识别

    Computer simulation and experimental results show that matching filter using extracted feature to code can recognize two images of common feature.

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  • 根据标准有源滤波器原理,采用频域分析法,可得出有源带通滤波器特征频率计算公式

    By applying frequency analysis method to a standard active band-pass filter circuit, a formula to calculate characteristic frequencies is offered.

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  • 为去除特征噪声同时保持特征中的边缘提出四分均值滤波器特征滤波。

    We proposes to use the quadrant-mean filter to smooth the noise in the feature while alleviating the boundary effect of the features.

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  • 通过均值滤波值滤波对比实验,自适应权重中值滤波器表现出良好的滤波特性,而且它抑制噪声的同时,较大限度地保持图象边沿特征

    By the comparative tests with the mean filter and the median filter, the AWMF performs best features in the reduction of noise and keeping edge information of images.

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  • 合适滤波器可以估计出平均频率曲线中得到涡流波形并且计算表征涡流的涡流经过频率幅度特征参数

    Meanwhile the vortex shift waveform is obtained from the estimated mean frequency waveform using a suitable low-pass filter. Then the vortex shedding frequency and amplitude can be calculated.

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  • 模板元素取自目标特征值的概率通过48卡尔滤波器可以跟踪所有特征值的概率变化。

    The element of template is probability of eigenvalue of target. These probability are acquire by a kalman filter group which had 48 kalman filters.

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  • 扼流圈高频特征极大地影响电磁干扰EMI滤波器抑制传导EMI噪声的性能

    The high frequency parasitic parameters of common mode(CM) choke significantly influence the performance of electromagnetic interference(EMI) filter for conducted EMI suppression.

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  • 特征向量等效适应滤波器向量,通过合理选择滤波器期望响应递推求解出特征向量。

    On the basis of the equivalence of weight vector of an adaptive filter and the eigenvector, choosing a reasonable filter expectation response, the eigenvector was estimated.

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  • 特征向量等效适应滤波器向量,通过合理选择滤波器期望响应递推求解出特征向量。

    On the basis of the equivalence of weight vector of an adaptive filter and the eigenvector, choosing a reasonable filter expectation response, the eigenvector was estimated.

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