International Journal Of Wavelets Multiresolution And Information Processing

雜志介紹

International Journal Of Wavelets Multiresolution And Information Processing雜志介紹

《International Journal Of Wavelets Multiresolution And Information Processing》是一本以English為主的未開放獲取國際優秀期刊，中文名稱國際小波多分辨率和信息處理雜志，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, SOFTWARE ENGINEERING領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為0.9，最新CiteScore 指數為2.6。

本刊近期中國學者發表的論文主要有：

• Dilation-and-modulation Parseval frames in the half space

  Author: Li, Yun-Zhang; Li, Ya-Nan

• Two-direction two-scale similarity transformation of two-direction refinable function

  Author: Wang, Gang

• Bi-level optimization-based projective non-negative matrix factorization

  Author: Chen, Wen-Sheng; Lian, Zixin; Pan, Binbin; Chen, Bo

• Differentially private distributed logistic regression with the objective function perturbation

  Author: Yang, Haibo; Ji, Yulong; Pan, Yanfeng; Zou, Bin; Fu, Yingxiong

英文介紹

International Journal Of Wavelets Multiresolution And Information Processing雜志英文介紹

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 theory

Frame and applications

Time-frequency analysis and applications

Sparse representation and approximation

Sampling theory and compressive sensing

Wavelet based algorithms and applications

2. Multiresolution:

Multiresolution analysis

Multiscale approximation

Multiresolution image processing and signal processing

Multiresolution representations

Deep learning and neural networks

Machine learning theory, algorithms and applications

High dimensional data analysis

3. Information Processing:

Data sciences

Big data and applications

Information theory

Information systems and technology

Information security

Information learning and processing

Artificial intelligence and pattern recognition

Image/signal processing.