该文提出一组基于广义局部沃尔什变换(GLWT)的纹理特征。
A new group of texture features based on Generalized Local Walsh Transform (GLWT) are presented in this paper.
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。
With the guidance of these existent methods, a novel method for identification of molecular subsequences based on fast walsh transform is presented .
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。
The paper resolves the problem about time normalization of dynamic response, and applies Walsh transform method to sensor's dynamic modelling.
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。
In this article, we propose a fast correlation algorithm of multiple PN code by fast Walsh Transform (FWT).
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。
A method based on fast Walsh transform for the repeats masking off was proposed to deal with the repeats during the sequence assembly.
根据沃尔什变换的理论，可知这样处理后得到的结果是连续时间情形的一个很好的近似。
The Walsh transformation theory ensures the result is a good approximation of the cacurate solution.
对网络的过程式输入函数及时变的权函数，实施连续沃尔什变换，用变换后的数据训练网络。
First, both input function of network and weight function of hide layer are converted to walsh base function series, and then network is trained by coefficient of walsh base function.
本文分析了CDTLS在时间域及序率域上的传递特性，提出了一种求解该优化问题的沃尔什变换算法。
This pager deduces the state transition matrices of CDTLS, both in time domain and in sequence domain, and presents a method solving the optimal control problem of CDTLS by Walsh transformation.
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。
Because of the limitation of the above method, a new approach for alignment of two sequences based on fast Walsh transform is advanced.
基于以非相干光相关器为核心的光电混合图像处理系统，实现了基于光学沃尔什变换特征提取的图像匹配算法。
Based on a hybrid opto electrical image processing system with an incoherent correlator, the image matching algorithm using optical Walsh transformation is realized successfully.
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。
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.
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