| 1. | An identification algorithm of physical parameters of the ltvdynamical systemis developed in this paper
本文基于daubechies小波对线性时变系统进行物理参数识别。 |
| 2. | 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。 |
| 3. | 3 . based on the low - pass filter coefficients of daubechies 4 wavelet , we present another multiscale recursive data fusion estimation algorithm
3 .基于daubechies4小波的低通滤波系数，发展了一种新的多尺度数据融合估计算法 |
| 4. | At first , this thesis gives right calculation results of derivative of daubechies scaling function , the determine fashion of continuity is rendered
本论文首先推导了daubechies尺度函数导数或高阶导数的正确计算结果，给出了它的连续性的判定方式。 |
| 5. | The construction of daubechies orthogonal wavelet on the interval [ 0 , 1 ] was analyzed . and the biorthogonal wavelet on the interval [ 0 , 1 ] was constructed similarly
分析了daubechies区间正交小波的构造，用类似的方法构造了[ 0 ， 1 ]上的双正交小波基。 |
| 6. | The wavelet transform has been altered to the wavelet transform that maps integer to integer with lifting theory by daubechies . we apply this theory to fft and dct
根据daubechies采用提升的方法对小波变换进行改造使之成为从整数到整数的变换思想，把提升理论运用在fft 、 dct的快速算法中。 |
| 7. | In guarding the continuity of derivative and not increasing supported assemble , this paper uses convolution of daubechies and b - spline scale functions to improve original method
在保证导数的连续性和不增加支集长度的前提下，采用daubechies尺度函数与b ?样条尺度函数的卷积对原方法进行了改进。 |
| 8. | The wavelet transform is a new style mathematic analysis tool . it is a new theory system developed from the studies of y . meyer , s . mallat and i . daubechies in 1980s
小波分析是一类新型的数学分析工具,是二十世纪八十年代以来在y . meyer , s . mallat和i . daubechies等人的研究的基础上发展起来的新的理论体系。 |
| 9. | In this thesis , continuous morlet wavelet and discrete daubechies2 wavelet are used . the main contributions is as follows : the instantaneous frequencies of psk and fsk signals are estimated by using wavelet transform
主要研究了连续morlet小波变换的应用，以及利用daubechies小波分解提取小波细节特征向量进行信号识别的研究。 |
| 10. | In solving differential equations , we must increase supported assemble length since the continuity of daubechies wavelet derivative increases as supported assemble increase , that results in calculation complexly
由于daubechies小波本身导数的连续性随着支集的增加而增大，解高阶微分方程时，就必须增加支集的长度，这会使计算复杂化。 |
