IEEE Signal Processing Society

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The IEEE's first society, the Signal Processing Society is the world’s premier professional society for signal processing scientist and professionals since 1948.

Signal processing is the enabling technology for the generation, transformation, and interpretation of information. SPS serves its members through high quality publications, conference, technical and educational activities, and leadership opportunities. Its goal is to keep members abreast of the latest information and to serve the public at large.


Scope and Mission

Field of Interest

Signal processing is the enabling technology for the generation, transformation, extraction, and interpretation of information. It comprises the theory, algorithms with associated architectures and implementations, and applications related to processing information contained in many different formats broadly designated as signals. Signal processing uses mathematical, statistical, computational, heuristic, and/or linguistic representations, formalisms, modeling techniques and algorithms for generating, transforming, transmitting, and learning from signals.

(Signal Processing Society Constitution, Article II)


Mission Statement

The Signal Processing Society is an international organization whose purpose is to: advance and disseminate state-of-the-art scientific information and resources; educate the signal processing community; and provide a venue for people to interact and exchange ideas.

(Signal Processing Society Constitution, Article 1, Section 3)


Vision Statement

The Signal Processing Society is a dynamic organization that is the preeminent source of signal processing information and resources to a global community. We do this by: being a one-stop source of signal processing resources; providing a variety of high quality resources to a variety of users in formats customized to their interests; adapting to a rapidly changing technical community; and being intimately involved in the education of signal processing professionals at all levels.



Signal processing is the enabling technology for the generation, transformation, and interpretation of information. It comprises the theory, algorithms, architecture, implementation, and applications related to processing information contained in many different formats broadly designated as signals. Signal refers to any abstract, symbolic, or physical manifestation of information with examples that include: audio, music, speech, language, text, image, graphics, video, multimedia, sensor, communication, geophysical, sonar, radar, biological, chemical, molecular, genomic, medical, data, or sequences of symbols, attributes, or numerical quantities.

Signal processing uses mathematical, statistical, computational, heuristic, and/or linguistic representations, formalisms, modeling techniques and algorithms for generating, transforming, transmitting, and learning from analog or digital signals, which may be performed in hardware or software. Signal generation includes sensing, acquisition, extraction, synthesis, rendering, reproduction and display. Signal transformations may involve filtering, recovery, enhancement, translation, detection, and decomposition. The transmission or transfer of information includes coding, compression, securing, detection, and authentication. Learning can involve analysis, estimation, recognition, inference, discovery and/or interpretation.

Signal processing is essential to integrating the contributions of other engineering and scientific disciplines in the design of complex systems that interact with humans and the environment, both as a fundamental tool due to the signals involved and as a driver of new design methodologies. As such, signal processing is a core technology for addressing critical societal challenges that include healthcare, energy systems, sustainability, transportation, entertainment, education, communication, collaboration, defense, and security.


Publications

IEEE Signal Processing Magazine has ranked first among all IEEE publications (125 in total) and among all publications within the Electrical and Electronics Engineering Category (245 in total), and ahead of the Proceedings of IEEE, in terms of its impact factor. The magazine’s 2009 impact factor is the highest among all these publications and stands now at 4.914, a healthy improvement over its 2008 impact factor which stood at 3.758 when the Magazine was ranked 9th.

Our aim is to publish high-quality articles that make an impact. The digital edition of the Signal Processing Magazine and the eNewsletter is meant to connect more closely with our readers and to keep them apprised of our society news and our society publications.

Starting January 2010, the IEEE Signal Processing Society provides all of its journal publications free to its members in electronic format, online on IEEE Xplore.

References

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Contributors

Kiki Amalia