Introduction to Signal Processing, 5 cr

Core content

• Basics of Matlab for signal processing
• Basics of digital signal processing: sampling theorem, discrete signals and systems, and the convolution operator.
• Analysis of discrete signals and systems: discrete Fourier transform, FFT algorithm, z-transform, transfer function and frequency response.
• Design of linear systems using the window desing method
• Multirate DSP: Decimation and Interpolation
• Fundamentals of machine learning. Applications of signal processing algorithms in pattern recognition.
• Applications. Visiting lectures from university or the industry.

Complementary knowledge

• Fourier transform, Fourier series and Discrete-time Fourier transform

Specialist knowledge

• Parks-McClellan algorithm