| 1. | The key issue of improving the wavelet compression performance is how to efficiently organize the wavelet coefficients and to describe the information of image
如何有效地利用小波分解系数更好地表示图像信息是提高图像压缩性能的关键。 |
| 2. | 2 ) proposed a de - noise method based on wavelet packet coefficient shrinkage . the resolution of the method is finer than that of the method based on wavelet shrinkage in time domain and frequency domain
2 )基于donoho阈值去噪方法，给出了一种时频分辨率更高的小波包分解系数收缩的去噪方法。 |
| 3. | The kernel of improvement is that fractal predictive encoding is imported into mzte , and wavelet coefficient is encoded in zte mode or in fractal mode according to in which mode the encoding error is minimum
这种改进的核心思想是通过引入分形预测编码方法，根据具体情况，综合使用零树熵编码和分形预测编码方法对图像小波分解系数进行编码。 |
| 4. | The features are eventually calculated by the euclidean norms of the clusters . the combination of features extracted from wave structures , wavelet coefficients and frequency spectrum get better classification result than one kind of feature
本文还提取了舰船辐射噪声的波形特征，包络小波分解系数频率特征并与前述能量特征相结合，取得了比单个类型特征更好的分类效果。 |
| 5. | In order to import fractal into mzte , we need to expand the conception of wavelet tree . in this improvement method , the root of wavelet tree may be located in any frequency band , and it may not be a single coefficient , but a coefficient block
经过这样扩展概念的小波树，其根结点可以位于小波分解系数的任意频带上，且根结点不一定是单个系数，而可能是由若干系数组成的系数方块。 |
| 6. | The method directly executes wavelet packet decomposition of handwriting texture using wavelet packet basis db6 at scaling 3 in 2d space , then reconstructs the decomposition coefficient of 15 wavelet packet best basis which are took by shannon entropy cost function
该方法直接在二维空间上由db6小波包基对笔迹纹理实施3尺度小波包分解，再在由以香农熵为代价函数提取得到的15个小波包最好基处对分解系数实行重构。 |
| 7. | And then , the soft / hard threshold was used to shrink the wavelet coefficient of the signal and reconstruct the signal . the method can suppress pseudo - gibbs phenomena on the singularity points of signal produced by de - noise algorithm based on wavelet shrinkage
此方法对含噪信号进行循环平移，利用软阈值或硬阈值函数对含噪信号的小波分解系数进行收缩操作，并重构信号，再进行反向的循环平移，能有效地抑制pseudo - gibbs现象。 |
| 8. | The process of target identification is formulated , which involved feature extraction , dimension reduction and classification . for solving the overlap of each subspace of a wavelet library in frequency , there are two approaches that are best basis ( bb ) and local discriminant bases ( ldb ) . their measure and searching algorithm were researched
从数学的角度描述了目标识别过程，依据cwt和多分辨分析表示信号的特点，提出了以信号尺度?小波能量谱、时间?小波能量谱、多分辨分解系数和各子带能量强度为特征的方法。 |
| 9. | Image fusion based on wavelet transform is presented . by decomposing the images and mask signals with wavelet transform , wavelet coefficients and approximation coefficients at different scales are obtained . with the corresponding coefficients of normalized - mask signals as weighting functions , coefficients are combined in different resolution levels to reduce the effect of the seam
在基于小波变换的图像融合中，将待融合图像与mask信号采用小波分解，得到不同尺度下的小波系数与逼近系数，以归一化mask信号的分解系数作为加权函数，在小波域的不同尺度融合对应系数，消除拼接缝的影响。 |
| 10. | This thesis developed an algorithm to reconstruct the wavelet coefficients of an image from the radon transform data . this algorithm is similar to the conventional filtered backprojection algorithm , except that the filters are now angle dependent , and the backprojection gives us the wavelet coefficients of the reconstruction , which are then used to synthesize the reconstruction
该算法与传统的滤波反投影法相似，不同的地方在于，算法中用到的滤波器是与x射线的照射角度相关联的，而且反投影后得到的是待建图像的小波分解系数，这些系数再经过逆小波变换就得到了最终的重建图像。 |
