| 1. | A review on refraction wave traveltime tomography of uppermost mantle
给出了数字脊波重构算法的全局对偶框架 |
| 2. | Method for text detection in image and video based on wavelet reconstruction
基于小波重构的视频图像文本检测方法 |
| 3. | This construction method is not restricted by the multiplicity of multiwavelets . 3
这种构造方法的优点在于不受多子波重数的限制。 |
| 4. | After the reconstruction of wavelet , image with clear edge and good contrast was achieved
在小波重构后，获得了具有清晰边缘和良好对比度的图像。 |
| 5. | Finally , perform inverse ihs transform to the wavelet reconstructed new intensity component and the hue and saturation components from the original ms image to get the fused image
最后,对小波重构得到的新亮度成分和原始多谱图像的色度和饱和度成分进行ihs反变换,从而得到最终的融合结果图像。 |
| 6. | While sub - images in the high resolution ratio are details of original image . this progress is called image wavelet decomposition . reverse wavelet transform put these sub - images together so that original image is recovered
而小波的逆变换即是将这些不同分辨率上的子图组合起来以恢复出原始图像，这个过程叫做图像的小波重构。 |
| 7. | The dwt decomposes an image into a series of different scalesmaller images , then detail coefficients are enhanced based on threshold shrinkage filter , and obtains the enhanced image after inverse wavelet transform
图像经过小波分解后可以得到一系列不同尺度上的子带图像，在不同尺度的子带图像上进行基于阈值收缩滤波的细节系数增强，再进行小波重构，即可得到增强后的图像。 |
| 8. | Based on the wavelet transform ( wt ) technology , this paper analysis the deficiency of hard threshold and soft - threshold , proposes an new threshold method based on the wavelet de compound and reconfiguration - the incorporation of soft threshold and hard - threshold
摘要在小波变换的基础上，分析了硬阈值和软阈值去噪方法的不足，提出了一种新的基于小波分解和小波重构的阈值去噪方法软硬阈值折衷方法。 |
| 9. | In this aticle , we reconstruct the signals of oil - watcr interface and inner pressure through mallat algorithin . the reconstruction ermr satisfies the system resollltion perfectly , which shows that the adaptability of wavelet transform in the analysis of unstable signals
文中利用mallat算法对油水界面信号和压力信号进行了小波重构，以表达式的形式将不规则的随机信号表示出来，重构误差满足系统要求，表明了小波变换在非稳定信号分析中的适用性。 |
| 10. | Through research on principle and approach , this paper puts forward three new methods in power cable fault location . the first method is based on wavelet reconstruction , and the measured signal which is the difference between the faulty and sound phase current under the high voltage pulse excitation , is transformed using wavelet , and the high frequency component is reconstructed at single scale
基于小波重构的电缆故障测距方法采用脉冲电源作用下故障相与健全相的电流差作为测量信号，利用小波变换对其作多尺度分解，然后对信号在高频下进行单支重构。 |
