IEEE Signal Processing Magazine (IEEE SIGNAL PROC MAG )

Publisher: Institute of Electrical and Electronics Engineers; IEEE Signal Processing Society, Institute of Electrical and Electronics Engineers

Journal description

The practical applications aspects of acoustics, speech, and signal processing.

Current impact factor: 4.48

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 4.481
2012 Impact Factor 3.368
2011 Impact Factor 4.066
2010 Impact Factor 5.86
2009 Impact Factor 4.914
2008 Impact Factor 3.758

Impact factor over time

Impact factor

Additional details

5-year impact 6.90
Cited half-life 6.30
Immediacy index 0.22
Eigenfactor 0.02
Article influence 3.56
Website IEEE Signal Processing Magazine website
Other titles IEEE signal processing magazine, Institute of Electrical and Electronics Engineers signal processing magazine, Signal processing magazine, I.E.E.E. signal processing magazine, IEEE SP magazine
ISSN 1558-0792
OCLC 22582650
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Institute of Electrical and Electronics Engineers

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
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    • Author's pre-print must be accompanied with set-phrase, when accepted by IEEE for publication ("(c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")
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    • If funding rules apply authors may post Author's post-print version in funder's designated repository
    • Author's Post-print - Publisher copyright and source must be acknowledged with citation (see above set statement)
    • Author's Post-print - Must link to publisher version with DOI
    • Publisher's version/PDF cannot be used
    • Publisher copyright and source must be acknowledged
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Most current SAR systems offer high-resolution images featuring polarimetric, interferometric, multi-frequency, multi-angle, or multi-date information. SAR images however suffer from strong fluctuations due to the speckle phenomenon inherent to coherent imagery. Hence, all derived parameters display strong signal-dependent variance, preventing the full exploitation of such a wealth of information. Even with the abundance of despeckling techniques proposed these last three decades, there is still a pressing need for new methods that can handle this variety of SAR products and efficiently eliminate speckle without sacrificing the spatial resolution. Recently, patchbased filtering has emerged as a highly successful concept in image processing. By exploiting the redundancy between similar patches, it succeeds in suppressing most of the noise with good preservation of texture and thin structures. Extensions of patch-based methods to speckle reduction and joint exploitation of multi-channel SAR images (interferometric, polarimetric, or PolInSAR data) have led to the best denoising performance in radar imaging to date. We give a comprehensive survey of patchbased nonlocal filtering of SAR images, focusing on the two main ingredients of the methods: measuring patch similarity, and estimating the parameters of interest from a collection of similar patches.
    IEEE Signal Processing Magazine 07/2014;
  • IEEE Signal Processing Magazine 11/2013;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Nonstationarity relates to the variation over time of the statistics of a signal. Therefore, signals from practical applications that are realizations of nonstationary processes are difficult to represent and to process. In this article, we provide a comprehensive discussion of the asynchronous representation and processing of nonstationary signals using a time-frequency framework. Power consumption and type of processing imposed by the size of the devices in many applications motivate the use of asynchronous, rather than conventional synchronous, approaches. This leads to the consideration of nonuniform, signal-dependent level-crossing (LC) and asynchronous sigma delta modulator (ASDM)-based sampling. Reconstruction from a nonuniform sampled signal is made possible by connecting the sinc and the prolate spheroidal wave (PSW) functions?a more appropriate basis. Two decomposition procedures are considered. One is based on the ASDM that generalizes the Haar wavelet representation and is used for representing analog nonstationary signals. The second decomposer is for representing discrete nonstationary signals. It is based on a linear-chirp-based transform that provides local time-frequency parametric representations based on linear chirps as intrinsic mode functions (IMFs). Important applications of these procedures are the compression and processing of biomedical signals, as it will be illustrated in this article.
    IEEE Signal Processing Magazine 10/2013;
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    ABSTRACT: Content distribution applications such as digital broadcasting, video-on-demand services (VoD), video conferencing, surveillance and telesurgery are confronted with difficulties - besides the inevitable compression and quality challenges - with respect to intellectual property management, authenticity, privacy regulations, access control etc. Meeting such security requirements in an end-to-end video distribution scenario poses significant challenges. If the entire content is encrypted at the content creation side, the space for signal processing operations is very limited. Decryption, followed by video processing and re-encryption is also to be avoided as it is far from efficient, complicates key management and could expose the video to possible attacks. Additionally, also when the content is delivered and decrypted, the protection is gone. Watermarking can complement encryption in these scenarios by embedding a message within the content itself containing for example ownership information, unique buyer codes or content descriptions. Ideally, securing the video distribution should therefore be possible throughout the distribution chain in a flexible way allowing the encryption, watermarking and encoding/transcoding operations to commute. This paper introduces the reader to the relevant techniques that are needed to implement such an end-to-end commutative security system for video distribution, and presents a practical solution for encryption and watermarking compliant with H.264/AVC and the upcoming HEVC (High Efficiency Video Coding) video coding standards. To minimize the overhead and visual impact, a practical trade-off between the security of the encryption routine, robust watermarking and transcoding possibilities is investigated. We demonstrate that our combined commutative protection system effectively scrambles video streams, achieving SSIM (Structural Similarity Index) values below 0.2 across a range of practical bit rates, while allowing robust watermarking and transcoding.
    IEEE Signal Processing Magazine 03/2013; 30(2):97-107.
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    ABSTRACT: In this work, the authors advocated for the need of social elements to make egoistic users cooperate with each other in certain situations. After discussing different forms of cooperation (specifically forced, altruistic, technology-enabled, and socially enabled), we introduced a number of example use cases. As discussed, the technology-enabled cooperation will cover a large number of these use cases. Furthermore, network coding is a technology that will make user cooperation more efficient and attractive to users. But in cases where the technology-enabled cooperation is not attractive enough, the social elements will play an important role. By means of social networks, examples were given of how social benefits can be created to persuade users to cooperate. More examples will be found in the future as social networking technology develops, but the initial examples underline the feasibility of that approach.
    IEEE Signal Processing Magazine 01/2013;
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    ABSTRACT: This column summarizes the main approaches for predicting protein functional sites from sequence information. Extracting functional regions from linear protein sequences has many similarities with prototypical problems in signal processing, and some of the methodologies used are taken from this discipline.
    IEEE Signal Processing Magazine 12/2012; 29(6):143.
  • IEEE Signal Processing Magazine 09/2012; 29(5):148-152.
  • IEEE Signal Processing Magazine 01/2011; 28:119-126.
  • IEEE Signal Processing Magazine 01/2011;