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- The wavelet coefficients are selected by Human Visual System (HVS) to ensure the transparence of watermarking. 同时基于人眼视觉系统，对嵌入系数进行筛选以保证水印的透明性。
- In the first step the wavelet coefficients were quantized by using a psycho-acoustic model. 在步骤1中，通过心理音响学模型对小波系数进行量化。
- A novel fragile watermarking approach based on the triplet of wavelet coefficients is proposed. 提出一种新的基于三重小波系数集的易损水印算法 .
- The obtained wavelet coefficients are used as substitution for ones of the noise image. 用所得的高频子带分别代替先前小波分解所得的高频子带。
- Instantaneous abrupt change in wavelet coefficients can be used to detect the discontinuity of a signal. 小波系数的瞬态突变可以描述信号奇异性；
- Then, the filter is applied to an original level with smoothed wavelet coefficients to get noise-free image. 然后，利用该滤波器对平滑小波系数进行滤波操作，去除噪声影响，得到滤波图像；
- Firstly form a subband pyramid and quantize all wavelet coefficients using uniform scalar quantizer. 该算法首先对小波变换系数进行一致标量量化；
- The stage 1 extracts extrema from wavelet coefficients of images after wavelet decomposition to locate face. 阶段一由分解后的小波系数取极值藉以框出初步的人脸。
- Bayes Minimum Mean Square Error (Bayes MMSE)method is used to estimate the wavelet coefficients free of noise. 利用贝叶斯最小均方误差准则来估计“干净”的小波系数。
- Secondly encodes the magnitude of nonzero wavelet coefficients at low frequency subband in bit plane order. 其次对量化后不为零的重要低频系数按照位平面次序进行编码；
- Firstly, revise the wavelet coefficients of the images.Then, use the regularized EM algorithm to do restoration. 该算法先对加权小波系数进行调整，再用调整EM算法进行迭代复原。
- A proper parameter and some wavelet coefficients of the cover audio signal are selected to embed information. 载体音频信号小波变换后，选择部分小波系数用适当的嵌入参数嵌入信息。
- Howto organize the wavelet coefficients effectively is pivotal to theperformance of image coding based on wavelet transform. 对于小波图像编码，如何有效地组织小波域系数是提高图像压缩效果的关键。
- The wavelet coefficients are computed on a line by line basis and the entire wavelet coefficients are stored in internal memory. 逐行计算小波系数，然后把全部小波系数储存在内部存储器上。
- First,the wavelet coefficients of basic frequency are extracted to identify the short duration disturbance like voltage sag,swell and interruption. 先提取基波频段所在的小波系数将电压凹陷、电压凸起和电压中断分别检测出来;
- Methods to select wavelet filter and to design optimum scale quantizer are presented.Furthermore, wavelet coefficients of DEM are analyzed deeply. 文中主要研究了小波滤波器的选取、最优标量量化器的设计等问题，并对DEM小波分解系数进行了深人的分析。
- In this paper, we consider the non-Gaussian and dependent wavelet coefficients to develop a model, and go along the elementary denoising based on it. 本文中我们考虑到小波系数的非高斯相关性来发展模型，并以此为基础进行基本的去噪。
- The wavelet coefficients of the approximant and detail sub-images are fused respectively based-on the fusion rule of local area gradient. 同时，采用基于局部邻域梯度的融合规则对分解后的高频和低频小波系数作不同的处理。
- The original image was decomposed into wavelet coefficients in this algorithm. Then quantize their wavelet coefficients. Finally, embed pseudo-random bit pattern. 这种算法将原始载体图像分解为小波系数,然后对小波系数进行量化,之后嵌入伪随机比特模板。
- In the first stage of Wiener filtering,the noisy image is decomposed by SWT.Then,the signal variances of wavelet coefficients are estimated in the elliptic windows. 在第一次局部维纳滤波中,用静态小波变换对含噪图像进行分解,然后利用椭圆方向窗来估计不同方向子带的各点信号的方差;
