Simulation and Implementation of Signal Sampling Based on DSP

In the design of electronic or communication systems, the front-end of the system often obtains analog signals through sensors and other devices, which needs to be converted into digital signals through analog-to-digital converters (ADCs) for system data processing and analysis. Sampling is a key step in digitization. On the basis of analyzing the sampling theorem, the paper uses MATLAB to sample and recover signals with different sampling frequencies. After analyzing the interrupt, GPIO, AD and other functions of the DSPC6748 chip, and the data relationship between MATLAB and CCS, the signal is processed in CCS and displayed on LCD at different sampling frequencies. By comparing the result to recover signals at the same sampling frequency as MATLAB, which can be seen that in practical applications, the sampling frequency must be more than twice the maximum frequency of the signal in order to recover the original signal through a ideal filter. This method is intuitive and effective, and can better perform subsequent data modulation, demodulation, and spectrum analysis of the communication system.