实验结果表明：对于含有目标信息的起伏背景图像，背景对消的最佳滤波方法，应采用开余滤波法。
Then, the experiment results show that in all of four filtering methods, the open residue filtering method is the best for background drop.
本文介绍了一种确定反卷积的最佳滤波参数的新方法。
In this paper, a new method to determine the optimum filtering parameters of deconvolution is presented.
针对F I r正交滤波器方法的缺点，本文根据函数逼近理论，在理论上，证明了正交小波函数可以最佳一致逼近理想滤波器。
After deficiencies of the FIR based orthogonal filter are analyzed, this paper, based on function approximation, theoretically proves that orthogonal wavelets can best approximate the ideal filters.
包括了最佳维纳滤波反褶积与窗函数滤波反褶积对于背景电导率信号还原的处理方法。
In these methods, we use the optimum Wiener filtering and Window filtering deconvolution technique to process the background conductivity signal.
四十多年前，卡尔曼先生提出了卡尔曼滤波算法，它简单而便于实现，是解决线性高斯环境下的问题的最佳方法。
Kalman filter algorithm, proposed by Mr. Kalman more than 40 years ago, is the best way to solve the problem in the linear Gaussian environment.
在对经典FIR数字滤波器的设计方法进行研究基础上，提出了一种基于近似最佳一致逼近原理的FIR滤波器设计方法。
After investigating into the design of classical FIR digital filter, a method of FIR filter design based on proximate best uniform approximation is proposed.
本文提出了利用定常卡尔曼滤波来实现任意一维平稳随机过程递推最佳滤波的方法。
This paper proposes a method for recursive optimal filtering of one-dimension stationary ran-dom processes by use of Kalman filtering of constant system.
卡尔曼滤波在数学上是一种统计估算方法，通过处理一系列带有误差的实际量测数据而得到的物理参数的最佳估算。
Kalman filter in mathematics is a statistical estimation methods, By a series of errors with the actual measurement data and the physical parameters of the best estimate.
并提出了通用的最佳混沌扩频序列设计方法，即利用数字IIR滤波器滤波混沌序列产生最佳混沌扩频序列。
A general methodology for the design of optimal chaotic spreading sequences by using chaotic sequences filtered by digital IIR filter is provided.
基于一维相控阵引信的波束控制技术，推导了最佳起爆角和起爆延时算法，并研究了一种改进卡尔曼滤波方法在此算法中的应用。
Based on beam control technology of one-dimension phased-array fuze, the paper deduced the optimal burst Angle and burst delay algorithm and researched an improved Kalman algorithm.
为提高数字谱仪的能量分辨率，利用约束最优化方法提出了一个在任意平稳噪声背景下直接设计最佳数字有限冲击响应（FIR）滤波器的方法。
The energy resolution of digital spectroscopy can be improved by finite impulse response (FIR) filters optimized for the presence of any kind of stationary noise.
为了获得电容最佳值，提出了一种简单的最优化方法；并采用寄生电阻预畸变与SC负电阻相结合的办法，设计的SC滤波器对寄生电容不灵敏，且电路简单。
The SC filter is insensitive to parasitic capacitance implemented by a simple circuit in the way of combining advance mutation of parasitic resistance and SC negative resistance.
针对该问题，本文基于扩展卡尔曼滤波方法提出了一种准最佳的GPS载波跟踪环结构设计方案。
Aiming at this problem, a new quasi-optimal structure of GPS carrier tracking loop based on extended Kalman filtering is proposed in this dissertation.
文章最后基于最大似然估计和线性卡尔曼滤波方法提出了一种理论上的最佳GPS载波跟踪环结构设计方案。
Finally, a theoretically optimal structure of GPS carrier tracking loop based on maximum likelihood estimation and linear Kalman filtering is proposed in this dissertation.
文章最后基于最大似然估计和线性卡尔曼滤波方法提出了一种理论上的最佳GPS载波跟踪环结构设计方案。
Finally, a theoretically optimal structure of GPS carrier tracking loop based on maximum likelihood estimation and linear Kalman filtering is proposed in this dissertation.
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