Research and improvement to median filter algorithm.
中值滤波算法的研究与改进。
In this paper, we introduce the particle filter algorithm.
本文采用的是粒子滤波算法。
Deblocking filter algorithm is a highly adaptive filtering algorithm.
去块滤波算法是一个高度自适应的滤波算法。
The adaptive IIR filter algorithm based on hyperstable theory is studied.
研究了超稳定理论的自适应IIR滤波算法。
At the same time the adaptive Kalman filter algorithm is introduced to process the initial locating results.
同时引入自适应卡尔曼滤波算法对原始定位结果进行了处理。
The new algorithm outperforms the previously proposed multiband adaptive normalized matched filter algorithm.
该算法的检测性能优于以前提出的多频带归一化匹配滤波器算法。
The audio processing digitization is using the digital filter algorithm to sample and process the audio signal.
音频处理的数字化是利用数字滤波算法对采集到的音频信号进行变换处理来实现的。
The kalman filter algorithm under hybrid coordinate and unscented transformation (UT) algorithm are investigated.
研究了混合坐标系下的卡尔曼滤波算法和采样变换(UT)算法。
Aiming at infinite horizon optimal control method, a new filter algorithm based on input rate of change is designed.
针对网络控制系统中的无限时间最优方法,设计了一种基于输入变化率的新型滤波器算法。
In this paper, an improved spatial mask filter algorithm is proposed and applied in partial discharge pulse extraction.
提出了改进的空间屏蔽滤波算法,并将其应用于局部放电脉冲信号的提取。
On DSP chip, the traditional method that realizes the digital filter algorithm is to compile software with assembly language.
在DSP芯片上实现数字滤波器算法的传统做法是用汇编语言编写软件来实现。
An inverse wiener filter algorithm, which avoids the illness condition in common inverse filter, gives the final restored images.
最后用维纳逆滤波算法得到恢复图象,避免了普通逆滤波中的病态问题。
A new method of median filter algorithm based on the last frame is proposed to meet the demands of real time image preprocessing.
为了满足图像预处理的实时性要求,提出一种基于前一帧图像的改进的中值滤波算法。
Particle filter algorithm has shown its good performance in non-linear and non-Gaussian models and is paid more and more attention.
粒子滤波算法由于其在非线性、非高斯模型中所表现出的优良性能,使得其越来越受到人们的重视。
An ASIC architecture was proposed on the basis of the multilevel filter algorithm for detecting the small targets of infrared images.
提出红外图像小目标检测多级滤波算法的一种ASIC体系结构实现方案。
A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinear stochastic system with white noises.
针对具有高斯噪声的非线性随机系统状态估计问题,提出了一种基于分段常值的贝叶斯状态估计滤波算法。
A new filter algorithm named K neighborhood adaptive filter is proposed here for smoothing strong impulse disturbance in the difference image.
针对运动景物在差分图像中产生强脉冲干扰的特点,提出K邻域自适应滤波算法;
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.
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。
Two optimal algorithms for particle filter algorithm are proposed in the paper: particle position and the interpolation-based tracking algorithms.
本文针对粒子滤波算法提出了两种改进算法:基于粒子位置优化和基于插值优化的粒子滤波跟踪算法。
The new IMM algorithm has better stability, because it can effectively restrict the like probability of divergence that happens in the IMM filter algorithm.
该算法可以有效地限制交互多模型算法滤波计算过程中的滤波发散的可能性,从而使得IMM算法更加稳定。
To accurately detect and filter out the impulse noise in the image, the switching median filter algorithm of noise detection is proposed based on quartering.
为了精确的检测出图像中的脉冲噪声并滤除,提出一种基于四分法噪声检测的开关中值滤波算法。
In this paper, research on particle filter algorithm for ballistic target tracking is carried on under the main background of nonlinearity, non-Gaussian noise.
本论文以非线性、非高斯噪声环境下的目标跟踪为主要背景,研究弹道导弹目标粒子滤波算法。
In this paper, a technique of maintaining the details in filtering is studied and a detail-preserving adaptive filter algorithm based on difference is proposed.
本文研究如何在滤波的同时实现细节的保留,提出一种基于差分的细节保留自适应滤波算法。
To filter the unbalance signals, one kind of relatively suitable filter algorithm was proposed through analyzing some kinds of least mean square (LMS) algorithms.
为了滤除这些不平衡信号,通过分析几类最小均方(LMS)误差算法,得出一种相对合适的滤波算法。
The thesis improves the filter algorithm based on distance and raises the message filter algorithm by grade based on vision calculation combining visual principle.
本文对基于距离的过滤机制进行了改进,结合视觉原理提出了基于视觉计算的分级消息过滤机制。
Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.
接着分别针对径向基核函数和多项式核函数进行多次实验,分析这两种核函数对过滤算法的影响。
Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.
接着分别针对径向基核函数和多项式核函数进行多次实验,分析这两种核函数对过滤算法的影响。
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