片语

sparse signal representation稀疏信号表示

sparse matrix representation稀疏矩阵表示法

Gabor Sparse Representation Classification稀疏表征分类

local sparse representation局部稀疏表示

Sparse Representation Classification稀疏表示分类算法

image sparse representation图像的稀疏表示

sparse representation and decomposition稀疏表示和分解

Sparse Parameter Representation稀疏参数表示

adaptive sparse representation自适应稀疏表示

英汉例句

• the theory of sparse representation and compressive sensing can be used for the reconstruct of sparse or compressible signals from a small set of linear measurements.

  稀疏表示与压缩感知理论指出，稀疏信号可通过一组线性测量值重建得到原信号，在获得测量值时，采样率可低于奈奎斯特采样频率。

• 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。

• by making use of the sparse representation coefficients, the second step is to reconstruct the test samples;

  第二步，利用测试样本的稀疏表示系数，对测试样本进行重构；

• 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。

• experiments show that this method an effectively improve the sparse representation method in dealing with complex lighting uyghur face image recognition, and achieve robustness and high goals.

  通过实验表明，该方法有效提高了稀疏表示方法在处理复杂光照维吾尔族人脸图像时的识别效果，达到了鲁棒性强、识别率高的目标。

• 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。

• 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。

• 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。

• 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。

• it「s a pity that wavelet analysis can」t take full advantage of geometrical characteristic (line singularities, plane singularities) of the data to get the sparse representation of the function.

  但在二维或更高维情况下，小波分析并不能充分的利用数据本身特有的几何特征（线奇异性、面奇异性）获取「稀疏」的函数表示方法。

• 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。

• relying on mathematical theories and methods, this paper investigates a new method of sar images super-resolution processing based on the sparse representation and the point-scattering model.

  本文以数学理论和方法为依托，以稀疏表示和点散射模型为基础，研究了一种新的sar图像提高分辨率的方法。

• 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。

• in order to identify outliers, the introduction of random measurement matrix of wavelet transform coefficients was applied with sparse representation to forecast data value in the future timestamp.

  引入随机测量矩阵对小波系数进行变换，恢复小波系数的稀疏性达到预测异常数据的目的。

• 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。

• the method based on singular value and sparse representation can significantly improve the robustness and reduce the computational complexity.

  基于奇异值与稀疏表示理论可以显着提高对噪声和遮挡变化的稳健性并降低计算复杂度。