Its only dif-ference to this latter one is that high S/N contents in mid frequency band are ex-trap0lated to obtain prediction operators of high and low frequency bands, by usingintertrace .
不同之处是它利用了有效反射信号和线性(或近似线性)干扰波的道间时差及能量的差异,以及有效信号同相轴的所有频率成分具有相同时差的假设条件,运用信噪比较高的中频段频率成分外推来求取高、低频带的预测算子。
Use least square principle to obtain prediction operator.
该方法首先把地震数据变换到F-XYZ域,利用最小平方原理求取预测算子;然后将此预测算子应用到地震数据中,实现压制随机噪声的目的;最后把地震数据变换到时空域得到最终结果。
The paper analyses compression performance of seven prediction operators defined in the algorithm and compares among them.
静态图象压缩标准 JPEG中给出了无失真压缩算法即 DPCM差分预测编码 ,本文通过对其中定义的七种预测算子压缩性能进行分析和比较 ,指出图象本身所包含的行相关以及列相关特征对于预测算子的选择具有一定的参考价值 ,从而在一定程度上提高预测的准确性 ,缩小预测误差 ,提高压缩效率。
SGWT is different from the classical wavelet transform:not relying on Fourier transform (FT),doing all calculation on timedomain, and constructing special property wavelet by designing predictor and updater.
第2代小波变换与经典小波变换不同,它不依赖Fourier变换,所有的运算在时域上进行,通过设计预测算子和提升算子可以构造具有某种特性的小波。
When construct the lifting wavelet,the methods choosing predicting operator and updating operator are different.
在提升小波的构造过程中预测算子和更新算子的选取不能混为一谈,为了更准确地将信号分解成低频分量和高频分量,提出更新算子的选取标准是各分量的和等于1/2,利用最小二乘法选取预测算子,并将构造出的提升小波运用于信号消噪,进一步研究预测算子和更新算子的选取规律,得到了较好的实验效果,验证了结论的正确性和实用性。
The key idea of the lifting scheme is constructing wavelet filters by several predict operators and update operators.
由于传统小波的多相矩阵可以分解为多个矩阵的乘积,本文从原理上说明了这些矩阵可以看作是预测算子和更新算子,并给出了具体例子。
For this purpose,a template matching method based on the direction-predicting operator of grading 8 neighborhoods is proposed and is then applied to the high-accuracy image splicing of the IC chip.
文中针对IC芯片表面形貌图像的获取要求,提出了一种基于分层八邻域方向预测算子的模板匹配方法,并运用于高精度要求的IC芯片图像处理工作中。
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