Established in 1998, the DSP Elite Lab at NTU was honored with the prestigious Texas Instruments DSP Elite Lab status, making it the sole Texas Instruments DSP Elite Lab in Singapore. The primary mission of this lab is to train engineers and researchers in advanced real-time DSP implementation using Texas Instruments' cutting-edge DSP processors. To date, we have trained over 300 students and continue to collaborate closely with Texas Instruments and other industry leaders to develop future talent in embedded media processing.

Our DSP lab has conducted numerous high-profile workshops for companies such as Texas Instruments, Analog Devices, Philips, Activemedia, and Xilinx. Beyond training, the DSP Elite Lab plays a crucial role in translating advanced DSP research into practical applications. We have become a well-recognized hub in Singapore for applied signal processing projects, securing and delivering research contracts for notable companies including DaimlerChrysler (Germany), Singapore Technologies Kinetics, Texas Instruments (USA), Analog Devices (USA), Excelpoint Systems, and TechSource, as well as research agencies like A*STAR. Our expertise spans real-time DSP implementation, audio and acoustics signal processing, and DSP programming, leading to frequent consultations and industry collaborations. The innovative work at our lab consistently drives research that integrates fundamental and practical DSP issues.

In recent years, the DSP Lab has evolved into the Smart Nation TRANS Lab, partnering with government agencies on projects in housing development, transportation, civil defense, environmental management, and municipal services. We focus on solving critical smart nation challenges related to noise control, sound augmentation, VR/AR visualization, and intelligent AI devices by deploying sensors, intelligent processors, and actuators for real-time monitoring and response. This transformation underscores our commitment to leveraging AI for advancements in audio and acoustics, ensuring our research not only advances the field but also addresses real-world challenges effectively.

Github of DSP Lab/SNTL@NTU: https://github.com/ntudsp