International Journal of Wavelets Multiresolution and Information Processing
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Journal Title
International Journal of Wavelets Multiresolution and Information Processing
INT J WAVELETS MULTI
ISSN / eISSN
0219-6913
Aims and Scope
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.
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.
Subject Area
COMPUTER SCIENCE, SOFTWARE ENGINEERING
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
2.30
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Mathematics - Applied Mathematics | Q2 | #291/609 |
| Mathematics - Information Systems | Q3 | #234/379 |
| Mathematics - Signal Processing | Q3 | #80/122 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| COMPUTER SCIENCE, SOFTWARE ENGINEERING - SCIE | Q4 |
| MATHEMATICS, INTERDISCIPLINARY APPLICATIONS - SCIE | Q3 |
H-index
22
Country/Area of Publication
SINGAPORE
Publisher
World Scientific Publishing Co. Pte Ltd
Publication Frequency
Bimonthly
Annual Article Volume
90
Open Access
NO
Contact
WORLD SCIENTIFIC PUBL CO PTE LTD, 5 TOH TUCK LINK, SINGAPORE, SINGAPORE, 596224
Verified Reviews
8.1 submitted
8.1 editor invited
8.2 under review
9.28 major revision
10.14 resubmitted
10.28 under review
1.12 accepted
The first review unexpectedly came quickly. There were two reviewers, the first one provided very detailed comments, mainly questioning the methodology and experimental section, showing a high level of expertise. The second reviewer only pointed out a few writing issues without many additional requirements, but their tone was very polite. The revision experience was good, as I carefully addressed the reviewers' comments and the article was accepted after major revisions.
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