Signal Processing for Mechatronics Application

Review linear continuous-time signals using Fourier transforms, passive and active continuous filters using op-\ amps; Sampling theory: aliasing, quantization, sampled data systems, and reconstruction methods like cardinal, zero-order hold and interpolators; Z-transform, Discrete-time signals using z-transform, difference equations, and inverse z transform;  Filter design for continuous and discrete filters includes Butterworth, elliptic, Chebyshev methods; discrete time linear system analysis with emphasis on FIR and IIR systems: Impulse response, frequency response. Executing different types of signal processing (such as voice, digital images, videos, biomedical signals, etc.) using python and/or MATLAB programming tools.
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