序列变换是依据外推法的原理，通过序列的核来插值序列的某些项，最后求解线性方程组得到的。
Sequence transformation is based on the principle of extrapolation, interpolating certain items by the kernel of the sequence, and finally is obtained by solving linear equations.
但是，如果直接从字符序列创建这个rope而不进行变换，那么性能数字会产生较大的变化。
However, if the rope is created directly from a character sequence, without any subsequent mutations, the performance Numbers take a surprising twist.
或许我们可以寻找序列的Fourier变换中的高频率成分。
Maybe we could look for high frequency components in Fourier transforms on the sequences.
该方法在一定的量化标准下利用小渡变换提取图象的特征信息，通过混沌序列对其加密生成数字水印。
In this method, the original image 's feature is extracted by using wavelet transform and quantization. The feature information is changed into watermark by the chaotic sequence encryption.
该算法利用线性同余模型产生伪随机序列以对图像进行空间置乱，采用异或操作实现图像的灰度变换。
It achieves space chaos of an image with a pseudo-random sequence generated by linear congruential method, and achieves gray chaos by XOR operation.
从GM（1，1）的建模原理和模型结构特征出发，通过一系列的推导、变换，给出了直接从原始序列出发求解模型的方法。
On the basis of principle and struture of GM(1, 1)model, and a series of derivation and transformation, the direct model operation method from original sequence was given.
讨论了一种以实数值混沌序列为基础，利用加密模板矩阵和排序变换，给出一种灰度图像的加密算法。
In this paper, a gray image encryption arithmetic based on chaotic sequences is proposed by taking advantage of the encryption template matrix and sort transformation.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
最近有文献报道图像序列的三维子波变换压缩编码。
D wavelet transform compression coding for image seqUences has been reported recently.
研究提出了原始数据序列的动态摆动指数变换方法和GPPM(1)灰色模型。
The dynamic swing index transformation method of firsthand data sequence and GPPM (1) grey model is studed and set up.
本文的水印方法借助扩频水印的思想，通过量化函数对版权保护图像的小波变换系数进行量化，产生的二值序列作为水印。
This paper borrows the idea from spread spectrum watermark, quantizes the wavelet transform coefficients the copyright protected image to produce a binary sequence, which is just the watermark.
提出了广义伪随机屏蔽二进序列偶，给出了其变换性质、组合允许条件。
Generalized pseudorandom punctured binary sequence pair along with the transformation properties and combinatorial limited conditions are presented.
该技术在水印嵌入时，由混沌系统生成水印序列，并在离散小波变换的低频子带上嵌入水印，保证了水印的鲁棒性。
While embedding watermarking, the watermarking sequences are produced by the chaos system, and are embedded into the low frequent coefficient of DWT domain to guarantee the robustness of watermarking.
应用拉氏变换和Z变换间关系，得到系统的ARMA时间序列模型。
By the relationship of Laplace transform and Z-transform, the ARMA time series model for this system is obtained.
本文证明了时间域内的平稳相关序列经离散傅里叶变换之后，听得到的是频域内的正交随机序列。
This paper proved that a frequency stochastic sequence obtained from a stationarily correlated time series by using discrete Fourier transform is orthogonal.
研究了该估计方法下对原始序列进行数乘变换后参数的变化特征。
The variation of parameters before and after multiply transformation on original sequence is studied.
基于JPEG图像的离散余弦变换（DCT）系数直方图差值序列，提出一种新的检测JPEGMB2隐写术的方法。
Based on the Discrete Cosine Transform (DCT) coefficient histogram difference sequences of JPEG images, a new steganalytic method was proposed to realize the steganalysis of JPEG MB2.
针对具有平移、旋转、缩放变换的序列图像连续拼接，提出一种将基于区域特征的配准算法和基于灰度交叉相关的配准算法相结合的拼接算法。
A new stitching algorithm based on area feature and cross correlation for the sequence image with transformation of translation, rotation and isometric scaling is proposed.
在这两种算法中，混沌序列控制小波变换的某些参数或决定数据的隐藏位置，提高了算法本身的安全性。
In these two algorithms, chaotic sequences control some parameters of wavelet transform or decide the hiding location to improve the algorithm itself security.
提出了“利用反双曲正弦函数变换提高数据列光滑程度”的新结论，获得了递增时间序列改善的自回归预测新方法。
A new conclusion is put forward, in which the smooth degree of the data row can be enhanced by means of the arc-hyperbolic sine function transformation.
推导出共轭对称序列的快速付里叶变换FFT具有相位为零的特性；
It is derived that the phase of the FFT for a conjugate-symmetric sequence is zero.
跟踪变换后的表情特征弹性图序列，采用图像差分方法，检测表情特征处于极大或夸张状态的关键帧。
Through tracking a series of elastic graphs, the key-frames, which contain expression features in exaggerated intensity, can be detected based on images differentiating.
采用分段线性变换对白天亮背景下低对比度图像序列进行对比度增强，最关键的是分段点的选取。
Selection of the subsection point is the key to enhance low contrast image under light background by subsection linear transformation.
提出了基于时间序列分析和小波变换方法的实测参数预处理方法，提高了预测精度。
Prediction parameters preprocessing method is proposed which is based on time series analysis with wavelet transform method. And in this way, the prediction accuracy is increased.
提出一种新的最佳相关信号，即几乎最佳屏蔽二进序列偶，研究了其变换性质和存在组合的允许条件。
A new perfect correlation signal was proposed, which can be called as almost perfect punctured binary sequence pairs. Its properties and combinatorial admissibility conditions were studied.
根据最小生成树(MST)算法获得图像序列的连通分量，得到图像对之间的变换矩阵并将图像映射到拼接平面。
The minimum spanning tree (MST) was used to obtain the best connected-component of the image set to recover the transformation between images and project the images into the Mosaic frame.
本文采用二阶z变换对转录因子结合位点序列进行建模。
This paper models transcription factor binding sites (TFBS) using two-step Z transform.
首先初始化序列图像，然后确定搜索区域，计算最小绝对差，返回图像的坐标值，进行坐标变换，最终计算得出两帧图像的位置变化；
First, initialize the image sequence, and then define search area, compute the MAD, return the coordinates of image, transform the coordinates, at last, get the change of two images.
首先初始化序列图像，然后确定搜索区域，计算最小绝对差，返回图像的坐标值，进行坐标变换，最终计算得出两帧图像的位置变化；
First, initialize the image sequence, and then define search area, compute the MAD, return the coordinates of image, transform the coordinates, at last, get the change of two images.
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