International Journal of Wavelets, Multiresolution and Information Processing (hereafter referred to as IJWMIP) is a bi-monthly publication for theoretical and applied papers on the current state-of-the-art results of wavelet analysis, multiresolution and information processing.Papers related to the IJWMIP theme are especially solicited, including theories, methodologies, algorithms and emerging applications. Topics of interest of the IJWMIP include, but are not limited to:1. Wavelets:Wavelets and operator theoryFrame and applicationsTime-frequency analysis and applicationsSparse representation and approximationSampling theory and compressive sensingWavelet based algorithms and applications2. Multiresolution:Multiresolution analysisMultiscale approximationMultiresolution image processing and signal processingMultiresolution representationsDeep learning and neural networksMachine learning theory, algorithms and applicationsHigh dimensional data analysis3. Information Processing:Data sciencesBig data and applicationsInformation theoryInformation systems and technologyInformation securityInformation learning and processingArtificial intelligence and pattern recognitionImage/signal processingThe IJWMIP publishes articles of four primary types:Original research papersCorrespondencesOverviews and summariesDescriptions of systems and software packages
《国际小波、多分辨率和信息处理杂志》(以下简称IJWMIP)是一本双月刊，刊载有关小波分析、多分辨率和信息处理最新成果的理论和应用论文。特别邀请有关IJWMIP主题的论文，包括理论、方法、算法和新兴应用程序。IJWMIP感兴趣的主题包括但不限于:1. 小波:小波与算子理论框架和应用程序时频分析与应用稀疏表示与近似采样理论与压缩感知基于小波的算法与应用2. 多分辨率:多分辨率分析多尺度近似多分辨率图像处理和信号处理多分辨率表示深度学习和神经网络机器学习理论，算法和应用高维数据分析3.信息处理:数据科学大数据与应用信息理论资讯系统及科技信息安全信息学习与处理人工智能和模式识别图像/信号处理IJWMIP出版四种主要类型的文章:原始研究论文通讯概述和总结系统和软件包的描述
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