Editorial:Because of the variety of applications in information time, information processing has acted as an important research part in computer science, signal processing, and many other research domains for decades. Though there are more achievements in this research domain, recently, there are more remaining issues waiting for solving. For example, there are lots existed problems in classification and systemization of hybrid data, processing and content understanding of hybrid multimedia information (speech, text or image), hybrid information compression, classification and recognition of huge online hybrid information, et al. These entire problems need our more attention to solve. Therefore, we need more effective thoughts and methods to solve problems in hybrid information processing. In particular, the uses of sophisticated and robust mathematical methods are also important in huge information processing. Meantime, emerging methods which can improve the efficiency of this domain are also encouraged in this conference.So, this theme issue is proposed to provide an opportunity for researchers to publish their gifted theoretical and technological studies of advanced method in hybrid information processing, and their novel engineering applications within this domain. The main focus of this issue is for the state-of-the-art advances in the studies and emerging applications in following topics. In this theme issue, 12 in 31 submissions are accepted with accepted ratio 38.9%. . This method was applied to recognize the modulation in modern complex electromagnetic environment as accurate as possible. Detailedly, by applied Rényi entropy and singular entropy to get the modulation feature of signal, an acquisition method of basic probability assignment (BPA) was presented based on the normal test theory with classifier based on D-S evidence theory. Experiment and simulation results illustrated that the proposed method can get a higher recognition result than traditional methods.The second article titled BAnalysis of Measurement and Application of Digital to Analog Converters for Software Defined Radio Hybrid System^, authored by He Yu from Harbin Institute of Technology, China, analyzed the digital to analog (DAC) system based on software defined radio applications [2]. This measurement had the merit of lower power consumption and higher efficiency for communication system with procedure and calibration technique for hybrid signal system. The paper provided a sub-Nyquist rate DAC system with different construction modes to maximized the utilization of the image spectrum and achieved better performance for communication. The two-phase holding reconstruction mode utilized higher order image spectrum by adjusting duty cycle of the two phases.The third article titled BData Aggregation Point Placement Problem in Neighborhood Area Networks of Smart Grid^, authored by Guodong Wang from South Dakota School of Mines and Technology, USA, investigated the Data Aggregation Point (DAP) placement problem and proposed solutions to ...