查询词典 wavelet

The another coder based on the morphological representation of wavelet data is also successful, but the shortage is that it doesn t use the interband similarity of wavelet coefficients.

最突出的特点是利用形态算子和带间相似性进行聚类预测，从而克服了前述3个编码器的不足。

By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.

在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。

In this paper firstly both the fundamental principle of wavelet transform and decomposing the signal with wavelet transform are introduced.

从小波变换的理论背景出发，介绍了利用小波变换对信号进行分解的原理。

Wavelet packet decompresses vibration signals, and wavelet packet nodes which are sensitive to the change of state, as eigen-nodes, form a decomposition tree; the signal restructured at all eigen-nodes can be used as the fingerprint in many breaker diagnostic systems. Support vector machine with the "most important" factors at eigen-nodes as input vector classifies the states at "one to others" strategy.

首先利用小波包分解振动数据，提取状态变化敏感节点作为特征节点形成分解树，利用敏感节点重构完好状态振动信号，并以此作为当前大多断路器诊断系统中使用的指纹信号；同时提取特征节点最大系数形成特征向量，作为支持向量机的输入向量，使用&一对其余&策略进行特征分类。

Aimed at the difficulty to extract the fault information of a low speed shaft in a large gearbox, wavelet analysis was used to realize the local analysis of signals in a time and frequency domain simultaneously. The signals were dissembled to a sieres of compactly supported wavelet bases non-redundantly and without leaking.

针对大型齿轮箱低速轴故障信息难以提取的问题，采用小波分析方法对故障数据进行处理以实现信号在时/频域的局域性分析，将其无冗余、无泄漏地分解到一组具有紧支撑性的小波基上。

The algorithm applies wavelet transform to SAR image and enhances ship signal and homogenizes background clutter of SAR images in wavelet domain using multiscale products.

本算法对SAR图像进行小波变换，应用多尺度积在小波域增强SAR图像船舰信号和均匀背景杂波，再对SAR图像进行目标检测。

The algorithm applies wavelet transform to SAR image and enhances ship signal and homogenizes background clutter of SAR images in wavelet domain using multiscale products.

根据SAR图像噪声功率一般存在于信号小尺度，没有跨尺度特征，而目标信号的边缘具有跨尺度的特点，本文提出了一种多尺度积信号增强和去噪的SAR图像船舰目标检测算法。

Based on the conclusion, we adopt a new method to eliminate multiples, which is to use the statistic character of error, obtain inverse wavelet's estimation, correct misshaped inverse wavelets for non-orthogonality in inverse wavelet domain by the estimation. The method mainly has four steps.

在此基础上，本文提出了在逆子波域（单道自适应相减滤波的滤波算子的集合），利用其误差的概率分布特征，对逆子波进行估计，用逆子波的估计对逆子波进行校正来消除多次波的方法。

Firstly, after getting predicted multiples, we use adaptive subtraction algorithm to eliminate multiples and get some inverse wavelets corresponding to every trace in one shot gather, then construct inverse wavelets domain by those inverse wavelets. Secondly, use median filtering method to get inverse wavelet estimation in inverse domain. Thirdly, correct the misshaped inverse wavelets in inverse domain by the inverse wavelet estimation.

其步骤为：首先用SRMA方法预测出表面多次波，并对每一单炮进行单道自适应相减，得到逆子波，形成逆子波域；其次，在逆子波域采用中值滤波，提取接近真实逆子波的逆子波估计；第三，在逆子波域用逆子波估计对畸变的逆子波进行校正；最后采用校正后的逆子波来衰减多次波。

Noising image is compressed and denoised by integrating Wavelet coding with wavelet threshold denoising together.

将小波图像压缩和小波阈值降噪结合在一起，对噪声图像进行压缩，使得在对图像压缩的同时，实现对图像的降噪。

They have quite a lot of work to do.

他们有许多工作要做。

Let us give you a more elaborate example of this process.

让我们给你这个过程的更多的详细例子。