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。
Wavelet analysis and wavelet denoising was applied to analyse the data of two dimensional correlation ir spectroscopy of traditional Chinese medicine for the first time in this article.
采用小波变换消噪技术首次应用到中药二维相关红外光谱的数据处理中。
In the denoising and preprocessing for seismic inversion, a zero-crossing filter is developed based on wavelet analysis to remove surface waves from the multi-component seismic data.
针对地震反演预处理的地震降噪问题，本文结合小波分析设计了一种过零点滤波器，对多分量地震资料进行了面波剔除研究。
These real alarm data are transformed to the standard data format for mining after preprocessing, denoising and filtering sensitive information.
这些真实数据经过预处理，去除噪声和敏感信息后，被转换为可进行直接挖掘的标准数据格式。
Aim The data adaptive scalar decomposition transform (SDT) and its application in data compression and denoising are studied.
目的研究常数分解变换法(SDT)及其在数据压缩和消噪上的应用。
According to the characteristics of the seismic data, some data processing algorithms based on FFT and wavelet for denoising, filtering and data compression is put forward.
针对地震波信号白勺特点，提出了基于FFT和小波分析白勺包括去噪、滤波和数据压缩白勺数字信号处理算法。
According to the characteristics of the seismic data, some data processing algorithms based on FFT and wavelet for denoising, filtering and data compression is put forward.
针对地震波信号白勺特点，提出了基于FFT和小波分析白勺包括去噪、滤波和数据压缩白勺数字信号处理算法。
应用推荐