In this article, we propose a fast correlation algorithm of multiple PN code by fast Walsh Transform (FWT).
本文提出了一种利用快速沃尔什变换(FWT)实现对复合码进行快速相关的算法。
A new group of texture features based on Generalized Local Walsh Transform (GLWT) are presented in this paper.
该文提出一组基于广义局部沃尔什变换(GLWT)的纹理特征。
A method based on fast Walsh transform for the repeats masking off was proposed to deal with the repeats during the sequence assembly.
针对序列拼接中的重复序列问题，提出了一种基于快速沃尔什变换的重复序列屏蔽方法。
Because of the limitation of the above method, a new approach for alignment of two sequences based on fast Walsh transform is advanced.
由于分子子序列识别应用的局限性，在此基础上论文进而提出了基于快速沃尔什变换的两两相似性比对方法。
The paper resolves the problem about time normalization of dynamic response, and applies Walsh transform method to sensor's dynamic modelling.
本文解决了动态响应时间归一化的问题，将沃尔什变换方法实用于传感器动态建模。
With the guidance of these existent methods, a novel method for identification of molecular subsequences based on fast walsh transform is presented .
在这些算法的启发下，本文提出了基于快速沃尔什变换的分子子序列识别方法。
By means of the dual evolution, the external and internal ordering technique for the Walsh transform (FWT) was introduced and four kinds of ordering analyzed respectively.
从算法流程图和序码分析两个方面进行外部调序，用码位倒置和对偶演化相结合进行内部调序。
A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.
介绍了一种利用局部沃尔什变换(LWT)提取图像纹理特征的新方法，给出lwt的定义，并分析了LWT系数的统计特性及其各阶矩的纹理鉴别性能。
A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.
介绍了一种利用局部沃尔什变换(LWT)提取图像纹理特征的新方法，给出lwt的定义，并分析了LWT系数的统计特性及其各阶矩的纹理鉴别性能。
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