This paper proposes a novel synchronous detector, which use wavelet filter instead of traditional low pass filter.
本文提出了一种新型同步检波器,用子带滤波器取代了传统同步检波器中的低通滤波器。
Some methods, such as adaptive median filter, Weiner filter, wavelet filter, anisotropic diffusion and so on, can not reduce noise effectively or.
而一些常用的滤波方法,如自适应中值滤波、维纳滤波,小波滤波、各向异性扩散滤波等,在抑制噪声的同时不同程度地。
Based on the basic conceptions of wavelet transform, the realization of waveform matching and find the optimized wavelet filter is presented in this paper.
本文从小波变换的基本概念出发,提出了波形匹配的具体实现方法,利用优化函数来得到最优小波滤波器。
One aspect is that studys on filtering of FOG's signals, the main filtering means are the Kalman filter and the Wavelet filter, which is discussed in chapter 3.
一方面是对光纤陀螺信号处理进行了滤波研究,主要运用卡尔曼滤波和小波变换滤波两种方法,这是第三章的主要内容。
According to the peculiarity that the scale exhibit progressional variety, this paper deduces a group of multiscale wavelet filter from two dimensions smooth function.
论文基于这一思想,从二维平滑函数出发,并根据尺度呈级数变化的特点,导出了一组多尺度小波滤波器。
Experiments show that wavelet filtering can enhance the small fault detection capacity and detect more timely compared with exponentially weighted moving average (EWMA) filter.
实验表明,小波滤波法能提高小故障的检测能力,而且与指数权重滑动平均滤波法相比更具有故障检测的及时性。
Based on the analysis of the present algorithms of IRFPA nonuniformity correction (NUC), a new adaptive technique was discussed, to which the wavelet filter theory was applied.
在分析红外焦平面阵列非均匀性校正现行算法的基础上,提出了一种具有自适应性能的新算法。
In this paper, multiplication model of speckle image in imaging lidar is analyzed, and then suppression processing for the speckle image is finished by homomorphic wavelet filter.
分析了激光成像雷达系统中所成的散斑像的乘法模型 ,并在此基础上利用一基于小波的同态滤波器对被散斑污染的图像进行了消噪处理。
Due to the uncertainty of parameters of the Bernstein polynomial, a design method for optimizing wavelet filter while maintaining the property of EBFB based on genetic algorithms is presented.
针对伯恩斯坦多项式中参数的不确定性,提出了一种基于遗传算法的具有EBFB特征的小波滤波器优化设计方法。
A method of calculating wavelet transformation filter coefficients for multiscale edge detection is given in this paper, and the efficiency of the method is clarified.
提出了一种用于多尺度边缘检测的小波变换滤波器系数的计算方法,并且以具体例子进行了检验,表明了该方法的有效性。
The results of the experiment using this arithmetic to construct CL multi-wavelet pre-filter show that not only the compute speed is fast, but also the stability is remarkable improved.
利用本算法构造CL多小波前置滤波器的实验结果表明,本算法不仅计算速度快,而且稳定性也得到了显著提高。
As an important part of the theory for non-separable wavelets, the design of non-separable wavelets filter Banks has already became the hotspot of research on wavelet theory.
作为不可分小波理论的一个重要方面,不可分小波滤波器的设计已经成为人们研究的热点。
To study the measurement and calculation of parameters of celestial bodies, an arithmetic is processed which is based on wavelet analysis and Kalman filter.
针对天文导航中天体参数的测量与计算问题,提出了基于小波分析的天体参数卡尔曼滤波计算方法。
An envelope analysis approach based on wavelet transform is proposed in this paper to overcome the limitation of current envelope analysis approach in which the fit filter parameter must be chosen.
为克服当前的包络分析法需要选择合适的滤波器参数的局限性,提出了一种基于小波变换的包络分析方法。
M-band wavelet is used to approximate the projection relationship between the scale Spaces, and system model that satisfies Kalman filter condition is built.
用M带小波变换来拟合状态在各尺度空间的投影关系,建立了满足标准卡尔曼滤波条件的系统模型。
In this paper, the factorization of scaling vector filters into prime factors is considered. A construction of bi-orthogonal wavelet matrix with pre-asigned scaling filter is given.
本文研究尺度滤波器的基本分解问题。基于所得结果,对于任意给定的尺度滤波器,给出了双正交小波矩阵的构造方案。
Starting from perfect reconstruction filter Banks, the relationship between the wavelet and the filter Banks is analyzed, and the construction of complex discrete orthonormal wavelet is discussed.
从完全重构滤波器组出发,分析了小波与滤波器组之间的关系,讨论了复数离散正交小波的构造。
From the experiments and analysis carried out in the paper, the optimal denoising results can be obtained by the combination of the empirical Wiener filter and the translation invariant wavelet.
结果表明,将小波域上的经验维纳滤波器与平移不变小波相结合进行去噪,所得到的效果是最佳的。
Therefore based on the median filter and the threshold de-noising of wavelet, the wavelet domain median filter was formed, and it was applied to the gyro's signal processing.
为此将中值滤波与小波阈值去噪相结合构造了小波域中值滤波器,并应用于陀螺数据处理中。
A filter is designed based on wavelet packet according to the features of numerical integral errors and those of multiple scales and high resolving power of wavelet packet.
根据数值计算误差的特点分析及小波包多尺度、高分辨的特性,设计了一种基于小波包的滤波器,较好地解决了消除数值积分计算引入误差的问题。
The theories and the methods of VLSI implementation of one-dimension continuous wavelet transform(CWT) . which bases on state-space log-domain filter, are developed in the paper.
本文研究基于对数域状态空间滤波器的一维连续小波变换VLSI实现理论与方法。
Assisted by other bands high frequency geometric information, reconstruct noise band image with wavelet reconstruction filter to de-noise noise band image.
以其他波段的几何信息辅助噪声污染波段重构,经过相应的小波重构滤波器滤波,获得该波段图像的重建以进行消噪。
The wavelet transform filter and infinite impulse response (IIR) digital filter is applied, and the output signals of the three filters are compared.
此外,本文还对陀螺信号进行了小波变换滤波和IIR数字滤波器滤波并对上述三种方法的滤波性能进行了对比分析。
After discussing some relative problems such as glint and fabric noises, a filter based on wavelet decomposition and weighted smoothness was utilized.
同时对成像过程中产生的闪烁噪声、抖动噪声等进行了分析,并在角速度跟踪时,采用基于小波滤波与加权平滑的方法进行去噪处理。
Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.
小波阈值降噪技术利用小波变换表示信号的稀疏性质,使用对角形式的阈值滤波器达到信号降噪的目的,这个方法在很多信号空间上是近似最优的。
Through the filter experiment on the actual sampling signal, and compares with the common average filter algorithm, it proved the wavelet analysis algorithm has better filter effect.
通过对红外水分仪实际采样信号的滤波试验,并与一般平均滤波算法相比较,证明其具有更好的滤波效果。
Image denoising experiments show that wavelet transform for image denoising is better than mean filtering, no significant difference compared with median filter.
图像的消噪实验表明,小波变换用于图像消噪效果优于均值滤波,与中值滤波去噪相比无明显差别。
By applying orthogonal linearity of wavelet transformation, a self adapting filter is designed on the basis of wavelet algorithm and is effectively applied to power active filter.
利用小波变换的正交线性性质,设计基于小波算法自适应滤波器。
Applying median filtering will effectively reduce the impulse noise, which can combine wavelet packet transform and median filter.
将子波包变换和中值滤波相结合,可以有效地降低图像噪声。
Applying median filtering will effectively reduce the impulse noise, which can combine wavelet packet transform and median filter.
将子波包变换和中值滤波相结合,可以有效地降低图像噪声。
应用推荐