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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。
Based on the redundancy of sinogram data, one denoising algorithm to CT image is put forward.
图的冗余信息，提出了一种显微ct图像降噪算法。
For the advantage of wavelet transform in denoising and data compression, we choose wavelet transform to denoise and compress the data of Near-infrared spectra.
并根据小波变换在噪声滤除及数据压缩方面的优势，选取小波变换对光谱数据进行滤噪和初步压缩。
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