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- linear mixed wavelet base 线性混合小波基
- The most important thing in using CWT is to select proper wavelet base. 运用连续小波变换提取故障特征最重要的是选择合适的小波基函数。
- The WBSC method is then extended to linear time-varying systems.Two sets of wavelet bases are now needed in order to capture the time-varying property. 在时变系统部分我们将小波系统描述法加以拓展应用，利用两组的小波基底描述系统之脉冲响应函数，藉以掌握时变特性。
- The linear mixed model for longitudinal data proposed by Laird and Ware is studied. 摘要考虑纵向数据的一般线性混合效应模型。
- Though multiscale analysis is applied to logging data generally,the selection of wavelet base is not studied in detail. 多尺度分析方法在测井资料的处理中得到广泛应用,但没有对小波基的选取进行过详细研究。
- Conclusion Linear mixed model is an effective way to cope with occupational stress data with hierarchical structural character. 结论线性混合效应模型是分析具有系统结构特征的职业紧张资料的有效方法。
- Through extensive experiments, the biorthogonal wavelet base (D5/3) is chose for real-time compression of remote sensing image. 实验结果表明D5/3双正交小波基最适合于遥感图像实时压缩,最后经实验验证其选取是合理的。
- The spatial analysis used linear mixed model with spatial covariance for residuals which was estimated using semivariogram defined in geostatistics. 运用地理统计学中的半变异函数法确定剩余误差空间协方差的函数。
- The wavelet theory was introduced.The residual signal from the gyroscope was decomposed by the different scale biorthogonal stationary wavelet base. 摘要在介绍小波分析理论的基础上，本文采用双正交静态小波基对陀螺仪去漂后的残差信号进行不同尺度的分解。
- A novel filter called Linear Mixed Filter（LMF） is proposed in this paper，which is suitable for digital images corrupted with mixed noises（impulse noise and Gaussian noise）. 摘要 提出一种新的滤波器，称为线性混合滤波器（简称为LMF），它适用于恢复被一类混合噪音（即一致脉冲噪音与高斯噪音）污染的数字图像。
- Methods We applied generalized linear mixed models for the nuclear family data to set up the genetic variance component model and estimated parameters using MCMC. 方法将广义线性混合模型应用于核心家系资料建立遗传方差分量模型，运用MCMC方法进行参数估计。
- Based on the analysis of features of wavelet base, the optimum wavelet base adaptable to mutiscale analysis is determined in well logging. 根据多尺度分析方法的要求,结合实测自然伽马测井曲线的特点,通过比较选定适合该方法的最优小波基。
- ICA can separate signals that are statistically independent but linearly mixed. 对于相互统计独立的信号源经线性组合而产生的混合信号,采用ICA能从其中分离出各独立的信号分量。
- Experimental results showed that the new method presented here was much effective in removing white noise, and gave better Peak Signal Noise Ratio (PSNR) gains than single wavelet base denoising. 实验结果表明，无论是在视觉效果上还是在峰值信噪比定量指标上该方法去噪效果均明显优于单一小波基去噪。
- Based on spline functions, the wavelet base can be constructed, it has rich class and plentiful feature, as well as the fast wavelet transform algorithm. 以多项式样条为基函数能构造出种类丰富、性质各异的小波函数及其相应的快速小波变换。
- From the angle of the experimentation in the Matlab, the paper discusses the application of image compression based on the wavelet transform and how to choose wavelet base. 本文基于Matlab数学分析工具环境下从实验角度出发,探讨了小波变换在图像压缩中的应用和小波基的选取。
- A new embedded zerotree wavelet based data compression method was proposed and applied to power system malfunction data compression. 摘要在小波包变换的基础上提出了一种新的基于嵌入式零树编码的数据压缩方法，并将其应用于电力系统故障数据压缩中。
- The basic ICA model assumes that sources are linearly mixed and mutually independent. 最基本的ICA模型假设源信号是线性混合并且是互相独立的。
- LBT costs 38% computation as the discrete wavelet based , and only buffers 1/15 data that DWT does. 该算法中LBT所需的存储开销不到DWT的1/15,计算量仅为DWT的38%25,基函数长度适中。
- In recent years, M-band orthonormal wavelet bases, due to their good characteristics, have attracted attention. M带正交子波基由于所具有的优良特性得到了广泛关注。
