利用多尺度插值小波理论，提出一种适合于求解一般边界层状介质波传问题的快速自适应配点算法。
An interpolating wavelet collocation method (IWCM) for adaptive solution of wave propagation in layered media with non-periodic boundary condition is presented.
本文对目前流行的各种方法进行了归类，主要思想有：边缘保持、矢量量化、小波变换、插值核、分形技术以及边缘模型。
And this paper classifies the popular methods, the main ideas are as follows: edge preserving, vector quantization, wavelet transform, interpolation kernel, Fractal technology and edge model.
介绍了基于插值细分法的第二代小波变换的基本原理和变换过程，给出了小波降噪的阈值选取方法。
The principle and process of the second generation transform based on interpolating subdivision is described, and then the selection of wavelet shrinkage is provided.
该软核采用插值算法进行图像处理，利用硬件编程语言VHDL对FPGA进行设计，也可利用小波变换方法对图像处理算法进一步优化。
The soft core can adopt interpolation technique to process image, can make use of VHDL to design FPGA, and can also use wavelet transform to improve the arithmetic of image process.
提出了基于小波变换的ENO插值图像放大方法，对插值后的图像做小波变换，对于高频系数进行修正，经过重构保持放大图像的清晰度。
A method of image magnification with ENO interpolation which based on wavelet transform is presented, to enhance the coefficient of the high frequency subband.
为了在保持原始图像信息的情况下，提高图像的空间分辨率，改善图像的峰值信噪比，在前期的研究中提出了小波双三次插值搜索算法。
In order to improve the resolution and PSNR of the obtained image without damaging its original information, the Wavelet Bicubic Interpolation Search Algorithm was proposed in the previous work.
分析了小波双线性插值中高频外推阈值门限与重建图像峰值信噪比的变化关系，提出了峰值信噪比最大小波双线性插值迭代算法。
The variable relationship between the threshold of the extrapolation and its correspondent Peak of the Signal-to-Noise Ratio (PSNR) in the Wavelet Bi-linear Interpolation Algorithm is deeply analyzed.
本文提出了用样条插值重构算法来实现由信号二进小波变换极值点重构原始信号。
A reconstruction algorithm by cubic spline function interpolation, which is used to recover a signal from its dyadic wavelet transform extrema is proposed in this paper.
本文提出了用样条插值重构算法来实现由信号二进小波变换极值点重构原始信号。
A reconstruction algorithm by cubic spline function interpolation, which is used to recover a signal from its dyadic wavelet transform extrema is proposed in this paper.
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