| 1. | Application of lifting wavelet transform in image denoising
基于第二代小波变换的图像除噪 |
| 2. | The application of lifting wavelet transformation in signal de - noising
提升小波变换在信号去噪中的应用 |
| 3. | The method for reducing multi - path effects based on lifting wavelets
基于提升小波的多路径效应减少方法 |
| 4. | Approach of image impulse noise reduction based on lifting wavelet
基于提升小波的图像脉冲噪声抑制方法 |
| 5. | Hardware design and realization based on fast integer lifting wavelet transform
一种基于可逆小波变换的盲数字水印算法 |
| 6. | Speech enhancement algorithm based on adaptive lifting wavelet transforms
基于自适应提升小波变换的语音增强算法的研究 |
| 7. | An edge detection algorithm based on lifting wavelet and morphology was proposed
摘要提出了一种基于小波提升和形态学的图像边缘检测方法。 |
| 8. | Additionally , a public algorithm based on 3 - band lifting wavelet transform is given
此外，还提出一种基于3通道提升小波变换的公开水印算法。 |
| 9. | To solve for the coefficients of the fast lifting wavelet transform , the new method for calculating the coefficients of the lifting schemes was presented
为了获得快速提升小波变换的系数，根据双正交小波的特点，提出了求解提升系数的方程组解法。 |
| 10. | After analyzing the results of the software implementation and the complexity of different wavelet transform , the integer - integer lifting wavelet transform is adopted
在分析了软件结果及不同的小波变换复杂度后，我们采用了整一整型提升小波变换。 |
