permuted

英 [pəˈmjuːtɪd]

美 [ˌpɜrmˈjutɪd]

v.  改变…的序列；排列；交换；变更; （滤砂）软化
permute的过去分词和过去式

双语例句

• Four differential images in four directions are obtained by four direction operating of permuted alias image.
  对置换混叠图像做四向差分运算，得到四个方向上的差分图像。
• First, for any size of gray image or colorful image, it is permuted by expanded Arnold with 1 round and then divided into 2 × 2 sizes of blocks.
  首先，对任意大小的灰度或彩色图像进行1轮扩展的Arnold置乱，把置乱后的图像分成2x2子块。
• Any column of the matrix can be permuted randomly, and the permutation between columns should satisfy the form which is the automorphism group of the binary cyclic Turbo code generated by the feedback polynomial.
  该矩阵的任意一列可采用随机交织方式，而列间交织方式必须是按由反馈多项式生成的循环码字集的自同构群构成。
• An algorithm about permuted alias image blind separation based noise detection is proposed according to a class of permuted alias image with noise difference.
  针对这类在被置换区域和置换区域之间存在噪声差异的置换混叠图像，提出一种基于噪声检测置换混叠图像盲分离算法。
• Different region of permuted alias image have noise difference, for permuting and permuted images come from different source images and they usually be infected by noise in the process of acquisition, transmission and processing.
  置换混叠图像中的被置换图像和置换图像的来源常常是不同的，这些图像在获取、传输和处理等环节常常感染上噪声，从而使得置换后的图像的不同区域存在着噪声差异。
• The mathematical model of the permuted image is obtained by its definition. According to the permutation mixing matrix is a special binary matrix, of which each entry equals 0 or 1, a BSS model of the permuted image is described by estimating the mixing matrix.
  根据置换混叠图像的定义给出了其数学模型，并在置换混合矩阵为特殊二值矩阵（0、1矩阵）的基础上，提出了基于混合矩阵估计的置换混叠盲分离模型。
• Various sources of images make the permuted alias image diversity.
  源图像的来源不同，构成的置换混叠图也具有多样性。
• When the sources are blurred images, two novel single-channel blind separation algorithms for permuted blurred image are proposed by using blind restoration.
  在源信号为模糊图像的条件下，利用模糊置换混叠图像的频域特性估计出模糊参数，提出了两种基于盲复原的盲分离方法。
• Assignment was by permuted blocks of randomly mixed sizes.
  分派方式是根据随机混合样本数目的排列区块进行。
• The key of detecting and seperating permuting images is to find characteristic difference, which can be shown when permuted alias image is projected on a characteristic domain.
  检测和分离出置换图像的关键是找到置换图像和被置换图像之间特征差异，即找到显现特征差异的特征域。