COSC 360 - Digital Signal Processing

A broad overview of digital signal processing (DSP) is offered, beginning by reviewing relevant statistics and complex numbers. The linear DSP system is then introduced, followed by the topic of filtering data digitally. The Fourier, Laplace, FFT, and z transforms are presented and applied to digital filtering. The second half of the course involves DSP applications for scientific data. Among the application topics are audio systems and music, human hearing, digital imaging, electrical circuits, and applied neural networks. Computation software packages like octave and MATLAB are taught and used in this course. The textbook and software for this course are free.

Pre-req: MATH 142
3 credits

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