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。
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。
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。
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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