Brief
Turn signals-and-systems theory into working code.
A computer project that takes the lecture-hall mathematics — discrete-time systems, convolution, frequency response, filtering — and makes it run on real recorded signals in MATLAB.
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Signals & Systems · MCTE4185
Signals & Systems DSP Project
MATLABDSPDiscrete-TimeFiltering
Analysis
Characterize the system and the signal.
The work analyses discrete-time system behaviour and examines a recorded signal alongside a delayed version of it — the kind of setup where the maths of delay, convolution, and frequency content stops being abstract and starts predicting what the data actually does.
Filtering
Design it, apply it, compare.
Implementing filtering in MATLAB and comparing input against output closes the loop between theory and result: a designed operation, applied to data, with the effect you can see rather than just derive.
Value
The bridge from signals theory to DSP practice.
It’s the project where signals-and-systems becomes a tool — the foundation for the sensor filtering and telemetry that show up in the embedded work elsewhere in this portfolio.