• And focus on researching the second generation Curvelet sparse representation.

    着重研究第二代Curvelet多尺度几何分析,对信号进行稀疏表示。

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  • Very recently, the sparse representation theory in pattern recognition arouses widespread concern.

    稀疏表征理论在模式识别中的应用引起广泛的关注。

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  • Image sparse representation data got by sparse decomposition method are compressed by quantization and coding.

    在图像稀疏分解的基础上,对分解出的数据进行压缩。

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  • This paper discusses the recoverability of underdetermined blind source separation(BSS), based on a two-stage sparse representation approach.

    基于一种两步稀疏表示的方法,利用随机框架讨论欠定盲源分离的恢复能力。

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  • TEMPLAR employs minimum description length (MDL) complexity regularization to learn a template with a sparse representation in the wavelet domain.

    TEMPLAR采用最小描述长度(mdl)的复杂性正规化学习稀疏表示的小波域模板。

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  • The modified algorithm reduces the influence of noise on L-R algorithm effectively by using de-noise algorithm based on adaptive sparse representation.

    这种改进算法通过使用基于自适应稀疏表示的去噪算法有效地减少了噪声对L-R算法的影响。

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  • Considering the good performance of sparse representation for image classification, a novel sparse representation based text detection method is presented.

    针对稀疏表示具有良好的分类特性,本文提出了一种基于稀疏表示的文字检测方法。

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  • The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.

    方向性小波理论为图像处理提供了一种新的稀疏表示方法,能够更有效地捕捉图像中的几何结构。

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  • Signal sparse representation or the optimal N-term approximation is one of the important problems, which is applied to many areas such as the data compression, denoising.

    信号的稀疏表示或最佳n -项逼近是数据压缩、噪声抑制等众多应用中的一个重要问题。

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  • As a novel signal processing method, adaptive sparse representation has a merit of representing signal flexibly and can de-noise effectively when maintaining features of targets.

    自适应稀疏表示,作为一种新的信号处理方法,具有表达信号灵活的特点,能够在保持目标特征的同时有效地去除噪声。

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  • This paper proposed a new prediction method for outliers over data stream based on sparse representation to improve the optimum prediction speed and performance of outliers over data stream.

    为了提高数据流中异常数据的预测速度与精度,提出一种基于稀疏表示的数据流异常数据预测方法。

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  • This constant depth extent tree provides a rich representation scheme for large, potentially sparse files.

    这种持续的区段树为大文件(尤其是分散的文件)提供丰富的表示方式。

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  • But Ma thinks these difficulties can be addressed with his sparse-representation approach.

    但是,马毅认为这些困难是可以通过稀疏表示来加以解决的。

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  • In parallel basis selection algorithms of sparse signal representation, there will be serious bias in amplitude estimation when frequency is not in grid.

    在稀疏信号表示的并行选取字典算法中,当频率不在栅格点上时,对应的幅度估计可能会有很大的偏差。

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  • Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.

    小波阈值降噪技术利用小波变换表示信号的稀疏性质,使用对角形式的阈值滤波器达到信号降噪的目的,这个方法在很多信号空间上是近似最优的。

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  • The recognition problem is taken as one of classifying among multiple linear regression models, and sparse signal representation is used to solve this problem.

    将识别问题看作是多个线性回归模型中的分类问题,并用稀疏表示理论解决这些问题。

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  • Unary representation of sparse polynomials and operations.

    一元稀疏多项式的表示及运算。

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  • Unary representation of sparse polynomials and operations.

    一元稀疏多项式的表示及运算。

    youdao

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