As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
COVID-19 and impact on peer review
Featured Article: A machine-learning phase classification scheme for anomaly detection in signals with periodic characteristics
In this paper, Lia Ahrens, Julian Ahrens and Hans D. Schotten proposes a novel approach to detecting anomalies in time series exhibiting periodic characteristics, where we applied deep convolutional neural networks for phase classification and automated phase similarity tagging. They evaluated their approach on three example datasets corresponding to the domains of cardiology, industry, and signal processing, confirming that their method is feasible in a number of contexts.
Articles
-
-
Tensor recovery from noisy and multi-level quantized measurements
-
High-dimensional neural feature design for layer-wise reduction of training cost
-
Orthogonal approach to independent component analysis using quaternionic factorization
-
A novel timing and frequency offset estimation algorithm for filtered OFDM system
-
Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor
-
A survey of machine learning for big data processing
The Erratum to this article has been published in EURASIP Journal on Advances in Signal Processing 2016 2016:85
-
The Vienna LTE simulators - Enabling reproducibility in wireless communications research
-
Human detection in surveillance videos and its applications - a review
-
Single-user MIMO versus multi-user MIMO in distributed antenna systems with limited feedback
Special Issues
Nonlinear Signal and Image Processing - A Special Issue in Honour of Giovanni L. Sicuranza on his Seventy-Fifth Birthday
Collection published: 5 August 2016
Signal Processing for Big Data
Collection published: 27 May, 2016
Recent Advances in Massive MIMO Systems
Collection published: 13 April, 2016
Recent advances on estimation and filtering in networked dynamic systems
Collection published: 11 April, 2016
Society affiliation
The European Association for Signal Processing (EURASIP) was founded on 1 September 1978 to improve communication between groups and individuals that work within the multidisciplinary, fast growing field of signal processing in Europe and elsewhere, and to exchange and disseminate information in this field all over the world. The association exists to further the efforts of researchers by providing a learned and professional platform for dissemination and discussion of all aspects of signal processing including continuous- and discrete-time signal theory, applications of signal processing, systems and technology, speech communication, and image processing and communication.
EURASIP members are entitled to a 10% discount on the article-processing charge. To claim this discount, the corresponding author must enter the membership code when prompted. This can be requested from their EURASIP representative.
Aims and scope
The aim of the EURASIP Journal on Advances in Signal Processing is to highlight the theoretical and practical aspects of signal processing in new and emerging technologies. The journal is directed as much at the practicing engineer as at the academic researcher. Authors of articles with novel contributions to the theory and/or practice of signal processing are welcome to submit their articles for consideration. All manuscripts undergo a rigorous review process. EURASIP Journal on Advances in Signal Processing employs a paperless, electronic review process to enable a fast and speedy turnaround in the review process.
The journal is an Open Access journal since 2007.
Open special issues
Biomedical Informatics with Optimization and Machine Learning 2019
Deadline for submission: 15 April 2020
Call for Special Issues
The EURASIP Journal on Advances in Signal Processing (JASP) welcomes Special Issues on timely topics related to the field of signal processing at large. The objective of Special Issues is to bring together recent and high quality works in a research domain, to promote key advances in signal processing, and to provide overviews of the state-of-the-art in emerging domains, to the general signal processing audience.
Your browser needs to have JavaScript enabled to view this video
EURASIP Best paper awards 2020
We are pleased to announce that the following paper published in EURASIP Journal on Advances in Signal Processing has been awarded a EURASIP best paper award!
Research
Cooperative local repair in distributed storage
Ankit Singh Rawat, Arya Mazumdar, and Sriram Vishwanath
The award ceremony will take place at EUSIPCO 2020 in the Netherlands. For more information see the EURASIP newsletter.
Follow
Who reads the journal?
Learn more about the impact the EURASIP Journal on Advances in Signal Processing has worldwide
Affiliated with
Annual Journal Metrics
-
Speed
110 days to first decision for reviewed manuscripts only
84 days to first decision for all manuscripts
204 days from submission to acceptance
26 days from acceptance to publicationCitation Impact
1.14 - 2-year Impact Factor
1.406 - 5-year Impact Factor
0.886 - Source Normalized Impact per Paper (SNIP)
0.383 - SCImago Journal Rank (SJR)Usage
653,754 downloads
12 Altmetric mentions
Funding your APC
- ISSN: 1687-6180 (electronic)
