And focus on researching the second generation Curvelet sparse representation.
着重研究第二代Curvelet多尺度几何分析，对信号进行稀疏表示。
The second generation curvelet theory adopted a new framework which had the reduction parameter and the simple realization.
第二代曲波理论采用了新的框架结构，参数减少，实现更加简单。
To extract the original features of a image exactly, a new image fusion method based on the curvelet transform is proposed.
考虑将曲波变换引入图像融合能够更好地提取原始图像，对一种新的图像融合方法-曲波变换图像融合法进行了研究。
The experiment results show that the PSNR and vision of the curvelet denoised images improve a lot, especially at the edge of the image.
实验表明去噪后图像PSNR和视觉效果有较大提高，特别是对图像边缘的恢复上效果明显。
Experimental results show that based on the ridge of the wave and Curvelet watermarking algorithm has some theoretical and practical value.
实验结果表明本文的基于脊波和曲波的水印算法具有一定理论和实用价值。
To meet the large image watermark, this paper designed a fast watermark algorithm according to the characteristics of the fast curvelet algorithm and the human visual.
为适应大图像的数字水印，本文结合快速曲波算法的特点和人类视觉特征，设计了一种快速的数字水印算法。
Curvelet is a new multiscale transform theory, which has the characteristics of anisotropy. It can approach a high dimensional function containing line singularity better.
曲波变换是一种新的多尺度变换理论，具有各向异性的特征，可以很好地逼近含线奇异的高维函数。
In this section, the discrete transform ridge redundant wavelet transform, dyadic wavelet transform, curvelet transformation, curvelet transformation have been introduced.
在这一部分分别介绍了冗余变换中的离散脊波变换、二进小波变换、曲波变换、快速曲波变换。
According to signals sparsity by Curvelet transform, the mixed matrix can be estimated with C-means cluster analysis, and the estimated value is looked as initial value of BSS algorithm.
该方法利用Curvelet多尺度几何分析后信号的稀疏性特点，采用了C - means聚类方法寻求混合矩阵估计值，把该估计值作为算法初始值。
According to signals sparsity by Curvelet transform, the mixed matrix can be estimated with C-means cluster analysis, and the estimated value is looked as initial value of BSS algorithm.
该方法利用Curvelet多尺度几何分析后信号的稀疏性特点，采用了C - means聚类方法寻求混合矩阵估计值，把该估计值作为算法初始值。
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