本文提出一种自适应预测滤波器的新算法。
A new algorithm for adaptive prediction error filter is presented.
从三次样条函数入手，提出一种新的适合非平稳数据分析的预测滤波器设计方法。
The paper presents a new method to design a predictive filter which suits to analyze non-stationary data.
从三次样条函数入手，提出一种新的适合非平稳数据分析的预测滤波器设计方法。
Based on the analysis of the traditional low pass filter, this paper proposed a novel detection filter.
基于混沌动力系统相空间的延迟坐标重构和双线性表达式，设计了预测混沌时间序列的双线性自适应预测滤波器。
Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
多脉冲激励线性预测编码（MPLPC）方法中，合成滤波器的阶数是固定的。
The order of synthesis filter is fixed in multi-pulse excited linear prediction coding(MPLPC) method.
通过RLS自适应滤波器，背景杂波分量被准确地预测并从输入信号中去除，从而只剩下目标信号与残留噪声。
The clutter is predicted exactly and subtracted from the input signal by RLS adaptive filter, leaving components of the target signal in the residual noise.
算法在格型预测器部分采用快速RLS算法，而在自适应横向滤波器部分采用LMS算法，并加以适当改进。
For the proposed one we use the fast RLS algorithm in lattice predictive filtering part with some modification and the LMS in adaptive transversal filtering part.
实验表明，多级滤波器能提高预测结果的精度。
本文研究了一种对当输入端进行自适应预测预处理的自适应滤波器。
This paper studies an adaptive filter with adaptive prediction pre-processing in the primary input.
当运动目标相互遮挡时，在卡尔曼滤波器预测区域内采用交叉搜索法实现多个运动目标的精确匹配。
When a dynamic occlusion occurred between two or more objects, the accurate matching of several moving objects could be obtained by using cross search method in the forecast area of Kalman filter.
文中进一步提出的修正算法，使滤波器的预测性能得到了改进。
The modified algorithm presented in the paper improved performance of the predictive filter.
为了提高系统图像处理速度，利用卡尔曼滤波器对跟踪的特征点进行预测，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.
本文首先对心理声学模型、滤波器组、量化和比特分配、预测编码、时域噪声成型等技术进行研究。
In this dissertation, psychoacoustic models filter Banks quantization and bit allocation predicate coding and temporary noise shaping is analyzed.
指出形态滤波器的输出信号在一定的范围内呈现局部单调性，并且这种单调性是可预测的。
Then we point out that morphological filtered signals are locally monotonic in certain regions and the monotonicity can be predicted.
通过假设预测方位和实测方位差值服从零均值的高斯分布，利用贝叶斯理论来修正各滤波器的权重。
And the weight of each filter is updated using Bayes theory based on the assumption that the difference between estimate and measurement bearings obeys Gaussian distributions with zero mean error.
提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法。
A small target detection method using Kalman filter as the clutter background prediction was presented.
该无源被动定位系统采用了加权最小二乘法来估计目标位置并用卡尔曼滤波器对目标进行跟踪与预测。
Weighted least square estimation for target location and Kalman filtering for tracking and predication are used in such passive location system.
谐波滤波器全球市场-产业分析，规模，构成比，成长率，趋势及预测：2016 - 2024年。
Harmonic Filter Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2016-2024.
对双向抽头滤波器和预测误差滤波器这两种自适应滤波器的特性进行了分析，并在计算机上进行了数值仿真。
The characteristics of dual tap filter and predicted error filter are analyzed, which are auto-adapted filters, and a numerical simulation is performed on computer.
提出了一种基于卡尔曼滤波器预测理论的容延迟移动传感器网络路由协议。
An adaptive routing based on Kalman filter prediction theory for DTMSN was raised.
卡尔曼滤波器和预测器正符合上述要求。
通过预测负载网侧输入电流的基波成分，控制有源滤波器产生用以抵消非线性负载的谐波电流。
On the based of artificial neural network, the active power filter can work properly to cancel load's line harmonic current. Only few readily available parameters are used in the method.
最后，进行了预测项采用线性相位超前滤波器的预测PI控制器的设计。
Finally, the Predictive PI Controller designing with Linear Phase Advance Filter as predictor is introduced.
然后将目标跟踪技术应用于特征点的跟踪，利用两个一维卡尔曼滤波器分别对特征点的两个坐标进行预测跟踪。
Then the object tracking technique is introduced into the tracking of feature points, using two 1d Kalman filter to track the two coordinates of feature points.
通过对并联有源电力滤波器的时域分析，得到了电流预测控制的内部模型结构，并根据预测控制理论对并联有源电力滤波器的电流控制环进行了研究和实现。
Through the analysis of SAPF in time domain, the internal model of current predictive control is obtained and the current loop of SAPF is studied and realized.
它通过背景相减实现目标检测，然后把输出的结果交给Kalman滤波器，预测出下一出现的位置(红色)，可以和实际出现的位置(绿色)相比较。
Through background subtraction to achieve target detection, and then output the results to the Kalman filter, prediction next appear (red), can occur and the actual position (green) compared.
极限情况下，当混叠十分严重时，相对于理想低通滤波器，用维纳滤波器进行亚象素插值能将预测残差均方和减少一半。
In an extreme case, when the aliasing effects are very severe, using wiener filter can reduce the prediction errors'energy by about 50% in comparison with using the ideal low pass filter.
极限情况下，当混叠十分严重时，相对于理想低通滤波器，用维纳滤波器进行亚象素插值能将预测残差均方和减少一半。
In an extreme case, when the aliasing effects are very severe, using wiener filter can reduce the prediction errors'energy by about 50% in comparison with using the ideal low pass filter.
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