Methods and experience of using Matlab and FPGA for teaching practice in digital signal processing

Abstract

Digital Signal Processing is a curriculum closely integrated by theory, implementation and application. With the development of microelectronics technology in recent years, the emergence of variety of chips makes digital signal processing widely used in various fields. Therefore, almost all of the electronic and computer engineering departments are now offering the digital signal processing courses. The main content of this course is abstract signal processing and transforming, involving a large number of mathematical knowledge and basic theory. The Matlab software can make the signal be presented in the form of visualized graphic image. Besides, FPGA, DSP and other high-performance chips can make digital signal processing technology widely used in various fields. Leading Matlab and FPGA into the teaching of digital signal processing is useful to improve the students' mastery of the knowledge points and enhance interest in learning. In this paper, for the purpose of radar real-time processing system application, methods of using Matlab and FPGA for teaching knowledge points such as bandpass sampling, polyphase filters, FFT processing, etc. are introduced.