IEEE關于網絡上信號和信息處理的事務發表了高質量的論文，這些論文將經典的向量空間(例如時間和空間)上定義的信號處理概念擴展到網絡上定義的信號和信息(數據)處理，這些數據可能是動態變化的。在網絡上的信號處理中，網絡的拓撲結構可以定義數據中的結構關系，也可以約束數據的處理。主題包括用于過濾、檢測、估計、適應和學習的分布式算法、模型選擇、數據融合、信息在此類網絡上的擴散或演化，以及分布式信號處理的應用。

The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.