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EURASIP Journal on Advances in Signal Processing is a peer-reviewed journal published by Springer Nature, covering Speech and Audio Processing, Advanced Wireless Communication Techniques, Blind Source Separation Techniques.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. EURASIP Journal on Advances in Signal Processing 12, 45–58 (2023).
Formats any DOI in EURASIP Journal on Advances in Signal Processing style. No sign-up. |
| Publishes research in | Speech and Audio Processing Advanced Wireless Communication Techniques Blind Source Separation Techniques Advanced Adaptive Filtering Techniques Image and Signal Denoising Methods |
| ISSN | 1687-6172 |
| Citation impact (2-yr) | 4.23 |
| h-index | 119 |
| i10-index | 2,100 |
| Total citations | 96,966 |
| Article processing charge | $1,398 |
| Open access | Yes |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | asp.eurasipjournals.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Biometric recognition offers a reliable and natural solution to the problem of user authentication in identity management systems. With the widespread deployment of biometric systems in various applications, there are increasing concerns about the security and privacy of biometric technology. Public confidence and acceptance of the biometrics technology will depend on the ability of system…
There is no doubt that big data are now rapidly expanding in all science and engineering domains. While the potential of these massive data is undoubtedly significant, fully making sense of them requires new ways of thinking and novel learning techniques to address the various challenges. In this paper, we present a literature survey of…
This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system. Then, the most commonly speech parameterization used in speaker verification, namely, cepstral analysis, is detailed. Gaussian mixture modeling, which is the speaker modeling technique used…
Cognitive radio is widely expected to be the next Big Bang in wireless communications. Spectrum sensing, that is, detecting the presence of the primary users in a licensed spectrum, is a fundamental problem for cognitive radio. As a result, spectrum sensing has reborn as a very active research area in recent years despite its long…
The underwater image processing area has received considerable attention within the last decades, showing important achievements. In this paper we review some of the most recent methods that have been specifically developed for the underwater environment. These techniques are capable of extending the range of underwater imaging, improving image contrast and resolution. After considering the…
