然后以主分量对小波系数进行重建的平均能量作为局部噪声能量的估计；
Second, the wavelet coefficients are reconstruct based on the top few principle components and the local noise energy is estimated based on the mean energy of reconstructed wavelet coefficients;
传统的小波变换基频检测通过比较相邻尺度上的小波系数极值点来进行检测。
The traditional pitch detection algorithm based on wavelet transform extracts the fundamental frequency by comparing the positions of maximum wavelet coefficients of continuous scales.
结果发现，尺度越小，小波系数模的极大值点与突变点位置的对应就越准确。
The results indicated that the small scales were the guarantee of the accuracy of corresponding position between maximum module of wavelet transform coefficients and break points of peaks.
分析了图像小波变换后小波系数的特征，讨论了优化小波系数的小波基选择问题。
Have analyzed properties of wavelet coefficients obtained from an image through wavelet transform, and discussed how to select wavelet basis to optimize wavelet coefficients.
而且通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应性。
Furthermore, by evaluating three parameters of wavelet coefficients "probability model using maximum likelihood method, self adaptively of the algorithm is achieved."
而且本文通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应。
Furthermore, through the maximum likelihood used for evaluating three parameters of wavelet coefficients' probability model, the adaptive algorithm is derived in the article.
研究图像小波系数间的统计相关性并建立适当的模型，可以显著提高图像处理的质量。
The quality of image processing can be significantly improved by exploiting the correlation among image wavelet coefficients and modeling the statistics for these coefficients.
在进行相邻图片的特征比对时，提出一种基于小波系数的特征索引算法，提高搜索效率。
A feature indexing algorithm based on wavelet coefficients is used when comparing features in neighboring images, which increases efficiency in the nearest neighbor searching.
定义了三重小波系数集，根据其元素间相互关系选择系数集并将其分成两类从而嵌入和提取水印。
Triplets of wavelet coefficients are defined, then selected and classified into two classes to embed and extract the watermark according to the relationship of their three wavelet coefficients.
分别推导了分形信号和白噪声的小波系数统计量的公式，在此基础上用最大似然法进行参数估计。
We have derived the formulas for wavelet coefficients of the fractal signal and white noise separately on the basis of which the maximum likelihood method is used to estimate the fractal parameter.
气温和降水在不同时间尺度上的小波系数变化曲线图揭示了气候的长期和短期变化趋势有很大不同。
The wavelet coefficient curves of temperature and precipitation on different time scales reveal that the long periodical variation trend is quite different from the short.
正则化图像恢复是条件约束的最优化问题，而小波系数的贝叶斯统计选择是基于图像的随机场观点。
A regularized image restoration is the optimization for some conditional constraint, and the selection of wavelet coefficients based Bayesian statistic is on the image random field view.
小波框架的冗余可导致鲁棒性，冗余使得低精度下获得的小波系数能在相对高的精度下重建原始信号。
Wavelet frame redundancy leads to robustness, that wavelet transform coefficient obtained in low accuracy can be used to reconstruct original signal in comparative high accuracy.
经过修正后的小波系数重构得到的信号图能够消去大部分噪声，清晰地反映入射波和反射波之间的时差。
The noise-extracted signal which is reconstructed by the revised wavelet coefficient could clearly reflect the time difference between incidence wave and reflection wave.
针对图像小波系数在各子带内显著性分布的聚簇特征，提出了在SPIHT算法的输出环节引入游程编码。
After the clustering characteristics of image wavelet coefficients' significance distribution in each sub-band was analyzed, run-length coding (RLC) was introduced into SPIHT's output stage.
进行矢量量化前，首先对小波系数进行视觉加权，然后采用了同向跨频带的方法将小波系数进行矢量组织。
Before quantifying, the wavelet coefficients should be given a vision weight, and then organized in the way of across different subbands according to the same direction.
文中在阐述小波变换原理的基础上，针对融合算子的构造，给出了一种新的基于小波系数相关性的融合方法。
Based on expatiate wavelet transform principle, aimed at the construction of fusion operator, a new scheme using the correlation of decomposition coefficients is presented.
首先确定初始阈值，并构造小波系数的关系矩阵，然后结合关系矩阵对高频子带系数进行逐次逼近量化编码。
Finally, the initial threshold is identified and relation matrix is constructed, and the wavelet coefficients of the high frequency subbands are encoded progressively by using relation matrix.
在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。
By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.
利用小波分解对惠更斯表面的时域切向场分布进行分解，存储经过阈值量化后的小波系数达到压缩编码的目的。
The time domain field distribution on the surface of Huygens' box was decomposed using wavelet, and the quantified coefficient of the wavelet decomposition was saved.
该小波系数简单、易于硬件实现，并且与CDF97小波有很好的兼容性，可作为CDF97小波的替代者。
The LS97 wavelet characterizes simple coefficients, being easy to implement with hardware and good compatibility with the CDF97 wavelet, so it can be used as a substitute for CDF97.
针对相干增强扩散计算扩散矩阵较慢的缺点，提出了一种用小波系数估计图像边缘方向的相干增强扩散图像降噪算法。
Finally, it gave an image de-noising algorithm of coherence enhancing diffusion, which used wavelet coefficients to estimate the image edge according to the wavelets time-frequent analysis function.
本文在原有定性分析方法的基础上，提出基于年径流时间序列主周期小波系数加权求和预测周期成分的年径流预测模型。
Based on the primary qualitative method, we propose an annual runoff prediction model using weighted sum of wavelet coefficients of major periods to predict the periodic components.
本文主要研究如何利用图像小波变换后系数间的相关性实现小波系数的分级编码和传输，从而实现图像的渐近传输技术。
This paper mainly study how to realize wavelet coefficient layered coding and transmission and image data progressive transmission using the correlation of the transformed image.
此方案基于整形小波变换，通过对部分小波系数的特殊量化来隐藏数字许可和版权标识，其提取不需要知道原始数字内容。
This article studies the scheme of copyright control, which embeds Digital Permission including machine fingerprinting and Copyright Identification in Digital content simultaneously.
其次针对SAR图像相干斑抑制问题，提出一种双变量收缩函数与小波系数显著性增强相结合的SAR图像的斑点抑制算法。
And then addressing SAR image speckle denoising, this dissertation proposed a new method based on bivariate shrinkage function combined with enhancement of wavelet significant coefficients.
图像的小波系数具有很强的非高斯统计特性，可以建立推广的拉普拉斯先验分布，用贝叶斯估计对图像小波系数滤波来达到降噪目的。
The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.
从二值图像延伸到灰度图像，我们根据小波变换后小波系数的特点，将行程编码算法进行了改进，结合小波变换对灰度图像进行编码。
We code the gray images combined improved run-length encoding algorithm with wavelet transform according to the characteristics of the wavelet transform coefficients.
ZBP不仅充分利用了零树符号之间的相关性，而且从位数据的层面上挖掘出了小波系数值之间的相关性，从而提高了算术编码的性能。
ZBP exploits the correlation among the Zerotree symbols and the bit data of wavelet coefficients, so the efficiency of arithmetic coding is improved.
EBCOT采用的并行运算和动态内存控制(DMC)结构，在保证编码速度的前提下，最大限度减小了片内小波系数缓存量和访问频率。
The EBCOT design USES parallel processing and dynamic memory control (DMC) architecture, which greatly speeds up the coding process and achieves higher hardware utilization.
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