This is a demo demonstrating the modeling of a video call system. It shows the transmission and reception path blocks for a mobile phone call and explains how much better the image quality is during a video call. Specifically, it separates and demonstrates the video image processing, baseband, and RF components of the communication system using MATLAB.

Blocks were also demonstrated, including the basic coding for transmitting video signals over wireless RF channels, the Convolution Encoder (an algorithm corresponding to the baseband portion of actual communication systems that recovers data corruption caused by noise in intermediate channels during digital data transmission), modulation, and IFFT for OFDM. In particular, by checking how the system responds while changing the SNR value—which represents naturally occurring noise from RF on the AWGN channel—it was possible to visually observe the amount of noise generated.

Deputy General Manager Kim Yong-jeong, who participated in the interview on this day, stated that through MathWorks’ MATLAB, one can immediately measure the performance of the entire system by changing various parameters, such as the coding level in DCG, the coding level for channel coding in baseband, and the amplifier or mixer in RF. He further explained that once the developer has measured the performance in this way and ultimately completed full verification of the desired system at the algorithm level, they can generate HDL code for specific blocks using Simulink HDL code, upload it to the FPGA, and immediately perform hardware verification known as "In the Loop" on the FPGA. As such, MathWorks’ MATLAB is a tool that can verify all processes, from entire system-level verification algorithms to hardware, in a single environment.