Abstract: ‍ ‍The multifunctional integrated system is one of the development directions in the electronic information technology field. Integrated waveform， the crucial technology in the multifunctional integrated system， has great significance for resource sharing and efficient cooperation between various functions. Meanwhile， new requirements are raised from algorithm to processing architecture. In this study， the research status of the integrated waveform processing is summarized on the comb， and an integrated signal processing system model is suggested. The further development of spatial resources is pointed out as a substantial direction in the research of integrated waveform processing. And the typical algorithms of correlation signal processing are given. Then， the large-scale matrix operation is proposed as the key characteristic by abstracting the core operator of this kind of integrated signal processing method. The corresponding system processing architecture is required to have high computing power and high energy efficiency. Finally， the In-Memory computing and photonic computing advanced architectures are designed to solve the above requirement. By reducing the data movement and employing high-performance analog computing mode， these two architectures significantly improve the capability of high computing power and high energy efficiency， providing a novel technical approach for integrated waveform advanced processing architecture research.