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time varying filter
相关语句
  时变滤波
     According to the seismic signals produced by moving targets such as the persons and vehicles moving on the ground, this paper studies their time frequency distribution characteristics by using the typicae time frequency analyzing method STFT so that modified complex convolution time varying filter method is used to do signal detection, thus improving the ratio of signal to noise. There fore, more valid feature vector can be extracted and used for target identification .
     针对人员、车辆等地面目标运动时产生的地震动信号 ,通过典型时频分析方法STFT研究其时频分布特性 ,进而应用修改的复数卷积时变滤波方法进行信号检测 ,使信号信噪比得以提高 ,可从中提取更有效的特征向量为目标识别所用
短句来源
  相似匹配句对
     TIME-VARYING TOPOLOGY
     时变拓扑
短句来源
     ON THE STABILITY OF TIME-VARYING INTERVAL
     时变区间矩阵的稳定性
短句来源
     Time
     光阴
短句来源
     THE FROM OF TIME
     时间的形状 从多丽丝·塞尔萨多的作品谈材料处理与时间体验
短句来源
     On the Filter
     关于共轭滤波器
短句来源
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  time varying filter
The channel is modeled as a linear time-varying filter in three-dimensional space, and properties of the filter's impulse response are described.
      
The wireless channel is modeled as a linear time varying filter in the present work.
      
For unvoiced sounds, Gaussian random noise is filtered by a time-varying filter.
      
Aliasing components and audible clicks produced by the time-varying filter are made inaudible by selecting appropriate parameters for the filter.
      


Two methods have been designed for estimating visual evoked poteatials with fewer samples. Results using simulated data show the performance of ARMA-filter to be greatly superior to the optimum linear time-varying filter. Then we tested ARMA-filter by clinical applica- tion. The results also show it highly efficient for estimating VEP.

本文设计了两种从少样本中提取视觉诱发电位的方法。计算机仿真数据实验表明,ARMA—滤波器比最佳线性时变滤波器更优越。最后,我们通过临床研究检验了ARMA—滤波器,结果同样证明,ARMA—滤波器提取视觉诱发电位非常有效。

By means of a self-adjusting nonstationary signal model for the VEP waveforms presented in this paper, we deveise a time-varying filter for the estimation of the VEP waveforms. Signals thus estimated concur with the original in latency, but have some declinations in peak amplitude. Both computer simulations and experiments have proven its effectiveness.

本文提出了一个自修正的非平稳信号模型,并设计了时变最优滤波器于视觉诱发脑电波的估计.估计出的信号与原始信号的各波峰潜伏期严格保持一致,而波峰幅值略有衰减.给出的仿真与实体试验结果都证明了本方法的有效性.

Wavelet Transformation (WT) is a newly developed time-frequency domain analysis method, it has multiresolution time-frequency character Using WT to analysis seismic exploration signal and well-logging signal which are nonstationary, their time-frequency information of signals can be used fully This paper describes the basic concept of WT and its applications in time-varying filtering of seismic exploration signal and full waveform acoustic logs signal seperation The results...

Wavelet Transformation (WT) is a newly developed time-frequency domain analysis method, it has multiresolution time-frequency character Using WT to analysis seismic exploration signal and well-logging signal which are nonstationary, their time-frequency information of signals can be used fully This paper describes the basic concept of WT and its applications in time-varying filtering of seismic exploration signal and full waveform acoustic logs signal seperation The results of practical applications show that it is a promising method to apply WT in geophysical signal processing.

利用小波变换具有的多时频分辨率特性,对地震勘探和测井信号这类非平稳信号进行分析,可以充分利用信号的时间一频率特性。文中介绍了小波变换的基本概念及其在地震勘探信号的时变滤波和声波全波列测井信号的信号分离中的应用,实例表明,小波变换在地球物理信号处理中具有广阔的应用前景。图5参7

 
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