| 1. | Bivariate multiwavelets bases on a bounded domain
有限区域上的二维多小波基 |
| 2. | Multiple wavelet bases wiener filtering in image denoising
基于多小波基维纳滤波图像去噪 |
| 3. | Construction of compactly supported wavelets bases of dilation factor a for l2
尺度紧支撑小波基的构造 |
| 4. | Some properties of wavelets bases and their parameters are discussed
因此文中研究讨论了刻画小波特性的参数及常用小波基的特性。 |
| 5. | Construction of non - tensor product semi - orthogonal continous wavelet bases for ii triangular partition
型三角剖分下非张量积连续小波基的构造 |
| 6. | Analyzed the character of different wavelet radix and the result of compression in detail
详细分析了不同的小波基的特点以及数据压缩的效果。 |
| 7. | Studying different problems by using different wavelet basis , we can obtain different results
不同的问题用不同小波基来分析研究，其效果会大不一样。 |
| 8. | Modeling and analysis of network traffic prediction using autoregression and support vector machine based on byte length in data packets
引入非线性小波基函数构造支持向量机 |
| 9. | And a simulation result also is shown . so , the four daubechies wavelet base is chosen to decompose images
最后通过仿真结果数据选择了daubechies4阶小波基对图象进行四级分解。 |
