滤波时间

系统的动态性能和鲁棒性可以通过调节滤波时间常数进行平衡。

The performance and robustness can be balanced through tuning the filter time constant .

根据闭环系统补灵敏度函数的最大值，从频域角度设计了滤波时间常数，以保证系统具有一定的鲁棒性。

According to the maximum magnitude of the complementary sensitivity function , the filter time constant is calculated to assure the robustness of system .

文章利用HP滤波和时间趋势剔除技术对中国主要宏观经济变量的对数序列（季度）进行了长期趋势的剥离，得到了反映中国经济周期性波动的周期成分；

Using HP filter and simple linear detrending method , we get the cyclical components of Chinese macroeconomic variables .

根据目标、背景干扰和噪声在红外序列图像中的差异，提出了一种基于空间高通滤波和时间域上N帧轨迹积累的运动小目标检测方法。

According to the imaging difference of target , background clutter and noise , a moving small target detection method based on spacial high-pass filtering and N-frame track accumulating is presented .

在此基础上，进一步提出了基于小波滤波的时间序列频繁模式挖掘算法，Frequent-Wavelet算法。

Furthermore , a novel algorithm based on wavelet filter for frequent pattern mining of time series , Frequent-Wavelet , is proposed .

基于卡尔曼滤波的时间序列影像背景估计

Background Estimate of Time Sequence Image Based on Kalman Filter

基于小波滤波的时间序列子序列聚类

Time series subsequence clustering based on wavelet filters

本文概述了数字滤波和时间序列分析在地震前兆信息处理中的应用。

Application of digital filtering and time series analysis to earthquake precursory processing is summarized in this paper .

距平模式季预报初始场滤波及时间过滤方案的试验研究

Experimental Study on the Schemes of Time and Initial Field Filter for the Seasonal Forecasts of an Anomaly Model

在单星对星无源定轨跟踪中，仅测角方法的滤波收敛时间较长且精度不高。

In satellite-to-satellite passive orbit determination and tracking , the bearing-only method has long convergence time and large location errors .

新的算法有效地补偿了富氏滤波的时间响应对频率测量造成的影响，提高了算法的暂态测频精度。

This new method reduces the influence of time response of Fourier filtering on frequency measurement and improves the accuracy of transient frequency measurement .

仿真结果表明，该法可明显减少计算量，缩短滤波收敛时间，提高卫星的实时处理能力。

The simulation results showed that this method could reduce the computation amount , shorten filtering time and improve the real-time processing ability of the satellite .

现基于小目标检测的现状和最新进展，从空间滤波和时间滤波的角度对现有的小目标检测技术进行了简单的概述，并分析了今后的研究方向。

Part algorithms of infrared small target detection in the way of spatial filter and time filter are introduced in this paper , based on present and recent technology .

实验表明，基于粒子滤波的时间序列预报算法相对于传统的交互式模型算法在跟踪性能上表现出了一定的优势，跟踪速度快，精度高，实时性好。

Experiments show that the algorithm have some advantages as tracking performance . Nonlinear time series based on particle filter optimal estimate possessed faster tracking speed and higher precision .

采用软硬件相结合多重滤波和时间片轮换控制处理方法，有效解决了控制器易受外界环境干扰以及系统的超调问题。

Its multiple hardware , software filter and transmigration time piece can effectively solve the problems that the controller is influenced by the outside environment and the exceeding adjustment .

集员滤波通过时间稀疏的数据选择性更新来降低自适应滤波算法的复杂度，但并未以显著降低收敛速度或稳态失调为代价。

With time sparse data-selective update , the set membership filter ( SMF ) reduces the computational complexity in adaptive filtering , without significant reduction in convergence rate and increase in steady-state misadjustment .

实验证明在保证图像主客观质量基本不变的前提下，该算法可减少环路滤波的时间达40%-60%，有利于提高整个编码器的速度。

Experimental results show that , the proposed method can efficiently reduce the deblocking time up to 40 % - 60 % and raise the coding speed while maintaining almost the same subjective and objective quality .

为改善卡尔曼滤波用于时间序列预测时的自适应性能，提出基于灰色关联分析的路段行程时间实时预测算法。

In order to improve the self-adaptability of Kalman filtering applied to the estimation of time series , a ( real-time ) estimation algorithm for road travel time is put forwarded based on the grey relation analysis .

在现有探地雷达反射法剖面数据处理技术基础上，提出一个数据处理方法模式，包括数据编辑、常规滤波、时间增益、数字处理、图形处理、显示和解释等。

Based on present ground penetration radar reflection profile data processing technique , the method of data procssing is pro posed up . It includes data edit , regular filter , time gaining , digital processing , graph processing and view , and interpretation etc.

本文主要采用的研究方法有结合KALMAN滤波思想的时间序列分析和多元分析的方法。

In this paper , a combination of research methods used in KALMAN filter time series analysis and multivariate analysis methods .

利用S-G滤波进行MODIS-EVI时间序列数据重构

Reconstruction of MODIS-EVI Time-Series Data with S-G Filter

文章主要利用H-P滤波法、时间趋势分解法分析我国当前金融业的周期特征。

Taking use of the methods of H-P filter and time series tendency analysis this paper analyses the feature of financial cycle in China .

借助于SAS软件将工程中的Kalman滤波方法与时间序列的状态空间模型结合对上海A股指数进行了拟合与预测分析，通过对拟合与预测误差的计算可以发现这种模型是可行的；

In this paper , based on SAS software , we use Kalman filter and state space model to analyze Shanghai stock index . After analyzing the residual of fit and forecast , we find that the method is fairly good .

基于时频和形态学滤波的长时间能量积累检测

Long-Duration Energy Accumulated Detection Based on Time-Frequency Morphological Filtering

介绍和分析了最小二乘和卡尔曼滤波方法在时间预报中的应用。

This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction .

分析了空间滤波、相干时间选通和非相干时间选通的机制，着重论述了几种非线性光学开关的工作原理。

The mechanism of spatial filtering , coherent and incoherent time gating are analysed . The principles of several nonlinear optical switchs are explained . 4 .

而实际上，在图像中被噪声污染的像素只占少数，这样对所有像素滤波既浪费时间，又造成了图像的模糊。

In fact , the contaminated pixels are in a minority . Therefore , such method not only waste the time , but also dim the image .

讨论运用Takens嵌入定理于语音信号相空间重构时的研究议题，包括嵌入维数、时间延迟、噪声及滤波影响、预测时间及数据长度要求等；

The problems of applying Takens ' Embedding Theorem to speech phase space reconstruction are discussed , including embedding dimension , time delay , influence of noise and filtering , prediction time , and requirement of data length .

用滤波反馈信号控制时间延迟混沌系统

Controlling a time-delayed chaotic system with filter feedback signal

仿真比较了抛物线插值和自适应卡尔曼滤波方法在采样时间不同步误差修正中的优劣性；

The parabola inserting value and self-suit Kalman filtering are compared in the correct error about time sampling no-synchronous ;