REAL TIME DIGITAL SIGNAL PROCESSING LAB

A digital signal processor (DSP) is a specialized microprocessor with an architecture optimized for the operational needs of digital signal processing.

We do a number of research and development projects in this lab using TI DSP processors.

Some of the projects include

• Active Noise cancellation in real time for automotive muffler and other applications
• Real time Road Scene analysis, detection of road signs, detection and prediction of road edges in varying light conditions and weather conditions.
• Removing Haze from images in real time.
• Identifying objects and hazards on the road
• Ant colony optimization algorithms for finding shortest path in mines.
• Fuzzy logic and neural network techniques for ground leveling by tractor
• Drones flight computations and control
• Digital correlation for noise path analysis
• DSP with FPGA
• Others in arenas of audio signal, speech processing, RADAR, seismology, audio, SONAR, voice recognition, and some financial signals.

Analog systems are less accurate because of component tolerance ex R, L, C and active components. Digital components are less sensitive to the environmental changes, noise and disturbances. Digital system is most flexible as software programs & control programs can be easily modified.

• DSP are much faster for integer math operations. ...
• DSP are hundreds of times faster for floating point operations.

Courses:

• ECE 67xx. DSP in Embedded Systems – 4 Credit course offered in Winter or Summer.

Project Sample:

• RT DSP Lab