Signal processing in the context of big data

The rapid developments of wideband signal, high-dimensional signal, high resolution image, and multi-sensor network have made the growth rate of data acquisition amount higher than the growth rate of data storage amount and the growth rate of signal processing speed. Signal processing steps into the big data era. This paper points out the key issues of signal processing with big data. Considering the diversity and complexity of the big data produced by multi-sensor networks, it is necessary to conduct information fusion. The main information fusion models are described, and the trends of information fusion technology are analyzed. Intelligent sensor network technology can reduce the capacity of signal processing and communication, and efficiently extract valuable information from big data. The basic architecture of a smart sensor is given, and calculation methods for intelligent sensor networks are described. From viewpoint of high-speed and real-time signal processing requirements of signals with big data, we also introduce developments of high-speed digital signal processing chips and high-performance hardware platforms. The vision of core technology in high-speed signal processing is presented.