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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 Society Constitution, Article II)



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.

(approved March 2010)